An unmanned aerial vehicle (UAV), commonly known as a drone, is an aircraft without any human pilot, crew, or passengers on board. UAVs are a component of an unmanned aircraft system (UAS), which includes adding a ground-based controller and a system of communications with the UAV. The flight of UAVs may operate under remote control by a human operator, as remotely-piloted aircraft (RPA), or with various degrees of autonomy, such as autopilot assistance, up to fully autonomous aircraft that have no provision for human intervention.
UAVs were originally developed through the twentieth century for military missions too "dull, dirty or dangerous" for humans, and by the twenty-first, they had become essential assets to most militaries. As control technologies improved and costs fell, their use expanded to many non-military applications. These include forest fire monitoring, aerial photography, product deliveries, agriculture, policing and surveillance, infrastructure inspections, entertainment, science, smuggling, and drone racing.
Many terms are used for aircraft which fly without any persons on board:
The term drone has been used from the early days of aviation, being applied to remotely-flown target aircraft used for practice firing of a battleship's guns, such as the 1920s Fairey Queen and 1930s de Havilland Queen Bee. Later examples included the Airspeed Queen Wasp and Miles Queen Martinet, before ultimate replacement by the GAF Jindivik. The term remains in common use. In addition to the software, autonomous drones also employ a host of advanced technologies that allow them to carry out their missions without human intervention, such as cloud computing, computer vision, artificial intelligence, machine learning, deep learning, and thermal sensors. For recreational uses, an aerial photography drone (as opposed to a UAV) is an aircraft that has first-person video, autonomous capabilities, or both.
An unmanned aerial vehicle (UAV) is defined as a "powered, aerial vehicle that does not carry a human operator, uses aerodynamic forces to provide vehicle lift, can fly autonomously or be piloted remotely, can be expendable or recoverable, and can carry a lethal or nonlethal payload". UAV is a term that is commonly applied to military use cases. However missiles with warheads are not considered UAVs because the vehicle itself is a munition. Also, the relation of UAVs to remote controlled model aircraft is unclear, UAVs may or may not include remote-controlled model aircraft. Some jurisdictions base their definition on size or weight; however, the US FAA defines any uncrewed flying craft as a UAV regardless of size.
The term unmanned aircraft system (UAS) was adopted by the United States Department of Defense (DoD) and the United States Federal Aviation Administration (FAA) in 2005 according to their Unmanned Aircraft System Roadmap 2005–2030. The International Civil Aviation Organization (ICAO) and the British Civil Aviation Authority adopted this term, also used in the European Union's Single-European-Sky (SES) Air-Traffic-Management (ATM) Research (SESAR Joint Undertaking) roadmap for 2020. This term emphasizes the importance of elements other than the aircraft. It includes elements such as ground control stations, data links and other support equipment. A similar term is an unmanned-aircraft vehicle system (UAVS), remotely piloted aerial vehicle (RPAV), remotely piloted aircraft system (RPAS). Many similar terms are in use. "Unoccupied" and "uninhabited" are occasionally used as alternatives to "unmanned". Under new regulations which came into effect 1 June 2019, the term RPAS (Remotely Piloted Aircraft System) has been adopted by the Canadian Government to mean "a set of configurable elements consisting of a remotely piloted aircraft, its control station, the command and control links and any other system elements required during flight operation".
UAVs may be classified like any other aircraft, according to design configuration such as weight or engine type, maximum flight altitude, degree of operational autonomy, operational role, etc. According to the United States Department of Defense, UAVs are classified into five categories below:
|Group:||Group 1||Group 2||Group 3||Group 4||Group 5|
|Max take-off wt||< 20 lb
|> 20 & < 55||> 55 & < 1320||>1,320 lb
|Operating altitude||< 1,200 ft
|< 3,500 ft
|< 18,000 ft
|< 18,000 ft
|> 18,000 ft|
|Speed||< 100 kn
|< 250 kn
|< 250 kn
|Any speed||Any speed|
Other classifications of UAVs include:
Range and enduranceEdit
There are usually five categories when UAVs are classified by range and endurance:
|Category:||Very close range UAVs||Close range UAVs||Short range UAVs||Medium range UAVs||Long range UAVs|
|Range (km):||< 5||> 5 & < 50||> 50 & < 150||> 150 & < 650||> 650|
|Endurance (hr):||0.5 – 0.75||1–6||8–12||12 – 36 or 48||> 36 or 48|
There are usually four categories when UAVs are classified by size, with at least one of the dimensions (length or wingspan) meet the following respective limits:
|Category:||Micro/Very small UAVs||Mini/Small UAVs||Medium UAVs||Large UAVs|
|Length/Wingspan:||< 50 cm||> 50 cm & < 2 m||5 –10 m||> 10 m|
Based on their weight, drones can be classified into 5 categories—
|Category:||Nano||Micro air vehicles (MAV)||Miniature UAV or Small (SUAV)||Medium UAVs||Large UAVs|
|Weight:||< 250 gm||>= 250 gm & <02 Kg||>= 02 Kg & <25 Kg||>= 25 Kg & <150 Kg||>=150 Kg|
Degree of autonomyEdit
Drones could also be classified based on the degree of autonomy in their flight operations. ICAO classifies uncrewed aircraft as either remotely piloted aircraft or fully autonomous. Some UAVs offer intermediate degrees of autonomy. For example, a vehicle may be remotely piloted in most contexts but have an autonomous return-to-base operation. Some aircraft types may optionally fly manned or as UAVs, which may include manned aircraft transformed into uncrewed or Optionally Piloted UAVs (OPVs).
Based on the altitude, the following UAV classifications have been used at industry events such as ParcAberporth Unmanned Systems forum:
- Hand-held 2,000 ft (600 m) altitude, about 2 km range
- Close 5,000 ft (1,500 m) altitude, up to 10 km range
- NATO type 10,000 ft (3,000 m) altitude, up to 50 km range
- Tactical 18,000 ft (5,500 m) altitude, about 160 km range
- MALE (medium altitude, long endurance) up to 30,000 ft (9,000 m) and range over 200 km
- HALE (high altitude, long endurance) over 30,000 ft (9,100 m) and indefinite range
- Hypersonic high-speed, supersonic (Mach 1–5) or hypersonic (Mach 5+) 50,000 ft (15,200 m) or suborbital altitude, range over 200 km
- Orbital low Earth orbit (Mach 25+)
- CIS Lunar Earth-Moon transfer
- Computer Assisted Carrier Guidance System (CACGS) for UAVs
An example of classification based on the composite criteria is U.S. Military's unmanned aerial systems (UAS) classification of UAVs based on weight, maximum altitude and speed of the UAV component.
The earliest recorded use of an unmanned aerial vehicle for warfighting occurred in July 1849, with a balloon carrier (the precursor to the aircraft carrier) in the first offensive use of air power in naval aviation. Austrian forces besieging Venice attempted to launch some 200 incendiary balloons at the besieged city. The balloons were launched mainly from land; however, some were also launched from the Austrian ship SMS Vulcano. At least one bomb fell in the city; however, due to the wind changing after launch, most of the balloons missed their target, and some drifted back over Austrian lines and the launching ship Vulcano.
The Spanish engineer Leonardo Torres y Quevedo introduced a radio-based control-system called the "Telekino" at the Paris Academy of Science in 1903 with the intention of testing an airship of his own design without risking human lives.
Significant development of drones started in the 1900s, and originally focused on providing practice targets for training military personnel. The earliest attempt at a powered UAV was A. M. Low's "Aerial Target" in 1916. Low confirmed that Geoffrey de Havilland's monoplane was the one that flew under control on 21 March 1917 using his radio system. Following this successful demonstration in the spring of 1917 Low was transferred to develop aircraft controlled fast motor launches D.C.B.s with the Royal Navy in 1918 intended to attack shipping and port installations and he also assisted Wing Commander Brock in preparations for the Zeebrugge Raid. Other British unmanned developments followed, leading to the fleet of over 400 de Havilland 82 Queen Bee aerial targets that went into service in 1935.
Nikola Tesla described a fleet of uncrewed aerial combat vehicles in 1915. These developments also inspired the construction of the Kettering Bug by Charles Kettering from Dayton, Ohio and the Hewitt-Sperry Automatic Airplane – initially meant as an uncrewed plane that would carry an explosive payload to a predetermined target. Development continued during World War I, when the Dayton-Wright Airplane Company invented a pilotless aerial torpedo that would explode at a preset time.
World War IIEdit
In 1940 Denny started the Radioplane Company and more models emerged during World War II – used both to train antiaircraft gunners and to fly attack-missions. Nazi Germany produced and used various UAV aircraft during the war, like the Argus As 292 and the V-1 flying bomb with a jet engine.
After World War II development continued in vehicles such as the American JB-4 (using television/radio-command guidance), the Australian GAF Jindivik and Teledyne Ryan Firebee I of 1951, while companies like Beechcraft offered their Model 1001 for the U.S. Navy in 1955. Nevertheless, they were little more than remote-controlled airplanes until the Vietnam War. In 1959 the U.S. Air Force, concerned about losing pilots over hostile territory, began planning for the use of uncrewed aircraft. Planning intensified after the Soviet Union shot down a U-2 in 1960. Within days, a highly-classified UAV program started under the code name of "Red Wagon". The August 1964 clash in the Tonkin Gulf between naval units of the U.S. and the North Vietnamese Navy initiated America's highly-classified UAVs (Ryan Model 147, Ryan AQM-91 Firefly, Lockheed D-21) into their first combat missions of the Vietnam War. When the Chinese government showed photographs of downed U.S. UAVs via Wide World Photos, the official U.S. response was "no comment".
During the War of Attrition (1967–1970) in the Middle East, Israeli intelligence tested the first tactical UAVs installed with reconnaissance cameras, which successfully returned photos from across the Suez Canal. This was the first time that tactical UAVs that could be launched and landed on any short runway (unlike the heavier jet-based UAVs) were developed and tested in battle.
In the 1973 Yom Kippur War, Israel used UAVs as decoys to spur opposing forces into wasting expensive anti-aircraft missiles. After the 1973 Yom Kippur war, a few key people from the team that developed this early UAV joined a small startup company that aimed to develop UAVs into a commercial product, eventually purchased by Tadiran and leading to the development of the first Israeli UAV.[pages needed]
In 1973 the U.S. military officially confirmed that they had been using UAVs in Southeast Asia (Vietnam). Over 5,000 U.S. airmen had been killed and over 1,000 more were missing or captured. The USAF 100th Strategic Reconnaissance Wing flew about 3,435 UAV missions during the war at a cost of about 554 UAVs lost to all causes. In the words of USAF General George S. Brown, Commander, Air Force Systems Command, in 1972, "The only reason we need (UAVs) is that we don't want to needlessly expend the man in the cockpit." Later that year, General John C. Meyer, Commander in Chief, Strategic Air Command, stated, "we let the drone do the high-risk flying ... the loss rate is high, but we are willing to risk more of them ...they save lives!"
During the 1973 Yom Kippur War, Soviet-supplied surface-to-air missile-batteries in Egypt and Syria caused heavy damage to Israeli fighter jets. As a result, Israel developed the IAI Scout as the first UAV with real-time surveillance. The images and radar decoys provided by these UAVs helped Israel to completely neutralize the Syrian air defenses at the start of the 1982 Lebanon War, resulting in no pilots downed. In Israel in 1987, UAVs were first used as proof-of-concept of super-agility, post-stall controlled flight in combat-flight simulations that involved tailless, stealth-technology-based, three-dimensional thrust vectoring flight-control, and jet-steering.
With the maturing and miniaturization of applicable technologies in the 1980s and 1990s, interest in UAVs grew within the higher echelons of the U.S. military. In the 1990s, the U.S. DoD gave a contract to AAI Corporation along with Israeli company Malat. The U.S. Navy bought the AAI Pioneer UAV that AAI and Malat developed jointly. Many of these UAVs saw service in the 1991 Gulf War. UAVs demonstrated the possibility of cheaper, more capable fighting-machines, deployable without risk to aircrews. Initial generations primarily involved surveillance aircraft, but some carried armaments, such as the General Atomics MQ-1 Predator, that launched AGM-114 Hellfire air-to-ground missiles.
As of 2012[update] the United States Air Force (USAF) employed 7,494 UAVs – almost one in three USAF aircraft. The Central Intelligence Agency also operated UAVs. By 2013 at least 50 countries used UAVs. China, Iran, Israel, Pakistan, Turkey, and others[which?] designed and built their own varieties. The use of drones has continued to increase. Due to their wide proliferation, no comprehensive list of UAV systems exists.
The development of smart technologies and improved electrical-power systems led to a parallel increase in the use of drones for consumer and general aviation activities. As of 2021, quadcopter drones exemplify the widespread popularity of hobby radio-controlled aircraft and toys, however the use of UAVs in commercial and general aviation is limited by a lack of autonomy[clarification needed] and by new regulatory environments which require line-of-sight contact with the pilot.
In 2020 a Kargu 2 drone hunted down and attacked a human target in Libya, according to a report from the UN Security Council's Panel of Experts on Libya, published in March 2021. This may have been the first time an autonomous killer-robot armed with lethal weaponry attacked human beings.
UAVs are also used in NASA missions. The Dragonfly spacecraft is being developed, and is aiming to reach and examine Saturn's moon Titan. Its primary goal is to roam around the surface, expanding the amount of area to be researched previously seen by Landers. As a UAV, Dragonfly allows examination of potentially diverse types of soil. The drone is set to launch in 2027, and is estimated to take a seven more years to reach the Saturnian system.
This section needs additional citations for verification. (May 2016)
Crewed and uncrewed aircraft of the same type generally have recognizably similar physical components. The main exceptions are the cockpit and environmental control system or life support systems. Some UAVs carry payloads (such as a camera) that weigh considerably less than an adult human, and as a result, can be considerably smaller. Though they carry heavy payloads, weaponized military UAVs are lighter than their crewed counterparts with comparable armaments.
Small civilian UAVs have no life-critical systems, and can thus be built out of lighter but less sturdy materials and shapes, and can use less robustly tested electronic control systems. For small UAVs, the quadcopter design has become popular, though this layout is rarely used for crewed aircraft. Miniaturization means that less-powerful propulsion technologies can be used that are not feasible for crewed aircraft, such as small electric motors and batteries.
Control systems for UAVs are often different than crewed craft. For remote human control, a camera and video link almost always replace the cockpit windows; radio-transmitted digital commands replace physical cockpit controls. Autopilot software is used on both crewed and uncrewed aircraft, with varying feature sets.
The primary difference from manned aeroplanes is the lack of need for a cockpit area and its windows. However some types are adapted from piloted examples, or are designed for optional piloted or unmanned operational modes. Air safety is also less of a critical requirement for unmanned aircraft, allowing the designer greater freedom to experiment. These two factors have led to a great variety of airframe and engine configurations in UAVs.
For conventional flight the flying wing and blended wing body offer light weight combined with low drag and stealth, and are popular configurations. Larger types which carry a variable payload are more likely to feature a distinct fuselage with a tail for stability, control and trim, although the wing configurations in use vary widely.
For vertical flight, the tailless quadcopter requires a relatively simple control system and is common for smaller UAVs. However the mechanism does not scale well to larger aircraft, which tend to use a conventional single rotor with collective and cyclic pitch control, along with a stabilising tail rotor.
Traditional internal combustion and jet engines remain in use for drones requiring long range. However for shorter-range missions electric power has almost entirely taken over. The distance record for a UAV (built from balsa wood and mylar skin) across the North Atlantic Ocean is held by a gasoline model airplane or UAV. Manard Hill "in 2003 when one of his creations flew 1,882 miles across the Atlantic Ocean on less than a gallon of fuel" holds this record.
Besides the traditional piston engine, the Wankel rotary engine is used by some drones. This type offers high power output for lower weight, with quieter and more vibration-free running. Claims have also been made for improved reliability and greater range.
Small drones mostly use lithium-polymer batteries (Li-Po), while some larger vehicles have adopted the a hydrogen fuel cell. The energy density of modern Li-Po batteries is far less than gasoline or hydrogen. However electric motors are cheaper, lighter and quieter. Complex multi-engine, multi-propeller installations are under development with the goal of improving aerodynamic and propulsive efficiency. For such complex power installations, Battery elimination circuitry (BEC) may be used to centralize power distribution and minimize heating, under the control of a microcontroller unit (MCU).
Ornithopters – wing propulsionEdit
Computer control systemsEdit
UAV computing capability followed the advances of computing technology, beginning with analog controls and evolving into microcontrollers, then system-on-a-chip (SOC) and single-board computers (SBC).
System hardware for small UAVs is often called the flight controller (FC), flight controller board (FCB) or autopilot. Common UAV-systems control hardware typically incorporate a primary microprocessor, a secondary or failsafe processor, and sensors such as accelerometers, gyroscopes, magnetometers, and barometers into a single module.
Position and movement sensors give information about the aircraft state. Exteroceptive sensors deal with external information like distance measurements, while exproprioceptive ones correlate internal and external states.
Non-cooperative sensors are able to detect targets autonomously so they are used for separation assurance and collision avoidance.
Degrees of freedom (DOF) refers to both the amount and quality of sensors on board: 6 DOF implies 3-axis gyroscopes and accelerometers (a typical inertial measurement unit – IMU), 9 DOF refers to an IMU plus a compass, 10 DOF adds a barometer and 11 DOF usually adds a GPS receiver.
UAV actuators include digital electronic speed controllers (which control the RPM of the motors) linked to motors/engines and propellers, servomotors (for planes and helicopters mostly), weapons, payload actuators, LEDs and speakers.
This section needs to be updated.(February 2022)
UAV software is called the flight stack or autopilot. The purpose of the flight stack is to obtain data from sensors, control motors to ensure UAV stability, and facilitate ground control and mission planning communication.
UAVs are real-time systems that require rapid response to changing sensor data. As a result, UAVs rely on single-board computers for their computational needs. Examples of such single-board computers include Raspberry Pis, Beagleboards, etc. shielded with NavIO, PXFMini, etc. or designed from scratch such as NuttX, preemptive-RT Linux, Xenomai, Orocos-Robot Operating System or DDS-ROS 2.0.
|Firmware||Time-critical||From machine code to processor execution, memory access||ArduCopter-v1, PX4|
|Middleware||Time-critical||Flight control, navigation, radio management||PX4, Cleanflight, ArduPilot|
|Operating system||Computer-intensive||Optical flow, obstacle avoidance, SLAM, decision-making||ROS, Nuttx, Linux distributions, Microsoft IOT|
Civil-use open-source stacks include:
- Agilicious (also open-source hardware)
- PX4 autopilot
Due to the open-source nature of UAV software, they can be customized to fit specific applications. For example, researchers from the Technical University of Košice have replaced the default control algorithm of the PX4 autopilot. This flexibility and collaborative effort has led to a large number of different open-source stacks, some of which are forked from others, such as CleanFlight, which is forked from BaseFlight and from which three other stacks are forked from.
UAVs employ open-loop, closed-loop or hybrid control architectures.
- Open loop – This type provides a positive control signal (faster, slower, left, right, up, down) without incorporating feedback from sensor data.
- Closed loop – This type incorporates sensor feedback to adjust behavior (reduce speed to reflect tailwind, move to altitude 300 feet). The PID controller is common. Sometimes, feedforward is employed, transferring the need to close the loop further.
UAVs use a radio for control and exchange of video and other data. Early UAVs had only narrowband uplink. Downlinks came later. These bi-directional narrowband radio links carried command and control (C&C) and telemetry data about the status of aircraft systems to the remote operator.
In most modern UAV applications, video transmission is required. So instead of having separate links for C&C, telemetry and video traffic, a broadband link is used to carry all types of data. These broadband links can leverage quality of service techniques and carry TCP/IP traffic that can be routed over the Internet.
The radio signal from the operator side can be issued from either:
- Ground control – a human operating a radio transmitter/receiver, a smartphone, a tablet, a computer, or the original meaning of a military ground control station (GCS).
- Remote network system, such as satellite duplex data links for some military powers. Downstream digital video over mobile networks has also entered consumer markets, while direct UAV control uplink over the cellular mesh and LTE have been demonstrated and are in trials.
- Another aircraft, serving as a relay or mobile control station – military manned-unmanned teaming (MUM-T).
Modern networking standards have explicitly considered drones and therefore include optimizations. The 5G standard has mandated reduced user plane latency to 1ms while using ultra-reliable and low-latency communications.
The level of autonomy in UAVs varies widely. UAV manufacturers often build in specific autonomous operations, such as:
- Self-level: attitude stabilization on the pitch and roll axes.
- Altitude hold: The aircraft maintains its altitude using barometric pressure and/or GPS data.
- Hover/position hold: Keep level pitch and roll, stable yaw heading and altitude while maintaining position using GNSS or inertial sensors.
- Headless mode: Pitch control relative to the position of the pilot rather than relative to the vehicle's axes.
- Care-free: automatic roll and yaw control while moving horizontally
- Take-off and landing (using a variety of aircraft or ground-based sensors and systems; see also "autoland")
- Failsafe: automatic landing or return-to-home upon loss of control signal
- Return-to-home: Fly back to the point of takeoff (often gaining altitude first to avoid possible intervening obstructions such as trees or buildings).
- Follow-me: Maintain relative position to a moving pilot or other object using GNSS, image recognition or homing beacon.
- GPS waypoint navigation: Using GNSS to navigate to an intermediate location on a travel path.
- Orbit around an object: Similar to Follow-me but continuously circle a target.
- Pre-programmed aerobatics (such as rolls and loops)
Other functions available or under development include; collective flight, real-time collision avoidance, wall following, corridor centring, simultaneous localization and mapping and swarming, cognitive radio and machine learning. In this context, computer vision can play an important role for automatically ensuring flight safety.
UAVs can be programmed to perform aggressive maneuvers or landing/perching on inclined surfaces, and then to climb toward better communication spots. Some UAVs can control flight with varying flight modelisation, such as VTOL designs.
UAVs can also implement perching on a flat vertical surface.
UAV endurance is not constrained by the physiological capabilities of a human pilot.
Because of their small size, low weight, low vibration and high power to weight ratio, Wankel rotary engines are used in many large UAVs. Their engine rotors cannot seize; the engine is not susceptible to shock-cooling during descent and it does not require an enriched fuel mixture for cooling at high power. These attributes reduce fuel usage, increasing range or payload.
Proper drone cooling is essential for long-term drone endurance. Overheating and subsequent engine failure is the most common cause of drone failure.
Solar-electric UAVs, a concept originally championed by the AstroFlight Sunrise in 1974, have achieved flight times of several weeks.
Solar-powered atmospheric satellites ("atmosats") designed for operating at altitudes exceeding 20 km (12 miles, or 60,000 feet) for as long as five years could potentially perform duties more economically and with more versatility than low Earth orbit satellites. Likely applications include weather drones for weather monitoring, disaster recovery, Earth imaging and communications.
Electric UAVs powered by microwave power transmission or laser power beaming are other potential endurance solutions.
Another application for a high endurance UAV would be to "stare" at a battlefield for a long interval (ARGUS-IS, Gorgon Stare, Integrated Sensor Is Structure) to record events that could then be played backwards to track battlefield activities.
|Boeing Condor||58:11||1989||The aircraft is currently in the Hiller Aviation Museum.|
|General Atomics Gnat||40:00||1992|||
|TAM-5||38:52||11 August 2003||Smallest UAV to cross the Atlantic|
|QinetiQ Zephyr Solar Electric||54:00||September 2007|||
|RQ-4 Global Hawk||33:06||22 March 2008||Set an endurance record for a full-scale, operational uncrewed aircraft.|
|QinetiQ Zephyr Solar Electric||82:37||28–31 July 2008|||
|QinetiQ Zephyr 7||336:22||9–23 July 2010||Solar electric powered. Remained aloft for 14 days. Also filed for FAI altitude record of 70,740 ft (21,561 m) |
Individual reliability covers robustness of flight controllers, to ensure safety without excessive redundancy to minimize cost and weight. Besides, dynamic assessment of flight envelope allows damage-resilient UAVs, using non-linear analysis with ad hoc designed loops or neural networks. UAV software liability is bending toward the design and certifications of crewed avionics software.
Swarm resilience involves maintaining operational capabilities and reconfiguring tasks given unit failures.
In recent years, autonomous drones have begun to transform various application areas as they can fly beyond visual line of sight (BVLOS) while maximizing production, reducing costs and risks, ensuring site safety, security and regulatory compliance, and protecting the human workforce in times of a pandemic. They can also be used for consumer-related missions like package delivery, as demonstrated by Amazon Prime Air, and critical deliveries of health supplies.
There are numerous civilian, commercial, military, and aerospace applications for UAVs. These include:
- Recreation, Disaster relief, archeology, conservation of biodiversity and habitat, law enforcement, crime, and terrorism.
- Aerial surveillance, filmmaking, journalism, scientific research, surveying, cargo transport, mining, manufacturing, Forestry, solar farming, thermal energy, ports and agriculture.
As of 2020, seventeen countries have armed UAVs, and more than 100 countries use UAVs in a military capacity. The global military UAV market is dominated by companies based in the United States, Turkey, China, Israel and Iran. By sale numbers, the US held over 60% military-market share in 2017. Top military UAV manufactures are including General Atomics, Lockheed Martin, Northrop Grumman, Boeing, Baykar, TAI, IAIO, CASC and CAIG. China has established and expanded its presence in military UAV market since 2010. Turkey also established and expanded its presence in military UAV market.
Of the 18 countries that are known to have received military drones between 2010 to 2019, the top 12 all purchased their drones from China. According to a report of 2015, Israeli companies mainly focus on small surveillance UAV systems and by quantity of drones, Israel exported 60.7% (2014) of UAV on the market while the United States export 23.9% (2014). Between 2010 and 2014, there were 439 drones exchanged compared to 322 in the five years previous to that, among these only small fraction of overall trade – just 11 (2.5%) of the 439 are armed drones. The US alone operated over 9,000 military UAVs in 2014; among them more than 7000 are RQ-11 Raven miniature UAVs. General Atomics is the dominant manufacturer with the Global Hawk and Predator/Mariner systems product-line.
For intelligence and reconnaissance missions, the inherent stealth of micro UAV flapping-wing ornithopters, imitating birds or insects, offers potential for covert surveillance and makes them difficult targets to bring down.
The civilian (commercial and general) drone market is dominated by Chinese companies. Chinese drone manufacturer DJI alone had 74% of the civil market share in 2018, with no other company accounting for more than 5%, and with $11 billion forecast global sales in 2020. Following increased scrutiny of its activities, the US Interior Department grounded its fleet of DJI drones in 2020, while the Justice Department prohibited the use of federal funds for the purchase of DJI and other foreign made UAVs. DJI is followed by Chinese company Yuneec, US company 3D Robotics and French company Parrot with a significant gap in market share. As of May 2021, 873,576 UAVs have been registered with the US FAA, of which 42% are categorized as commercial drones and 58% as recreational drones. 2018 NPD point to consumers increasingly purchasing drones with more advanced features with 33 percent growth in both the $500+ and $1000+ market segments.
The civil UAV market is relatively new compared to the military one. Companies are emerging in both developed and developing nations at the same time. Many early stage startups have received support and funding from investors as is the case in the United States and by government agencies as is the case in India. Some universities offer research and training programs or degrees. Private entities also provide online and in-person training programs for both recreational and commercial UAV use.
Consumer drones are also widely used by military organizations worldwide because of the cost-effective nature of consumer product. In 2018, Israeli military started to use DJI Mavic and Matrice series of UAV for light reconnaissance mission since the civil drones are easier to use and have higher reliability. DJI drones is also the most widely used commercial unmanned aerial system that the US Army has employed. DJI surveillance drones have also been used by Chinese police in Xinjiang since 2017.
The global UAV market will reach US$21.47 billion, with the Indian market touching the US$885.7 million mark, by 2021.
Drones are ideally suited to capturing aerial shots in photography and cinematography, and are widely used for this purpose. Small drones avoid the need for precise coordination between pilot and cameraman, with the same person taking on both roles. However, big drones with professional cine cameras, there is usually a drone pilot and a camera operator who controls camera angle and lens. For example, the AERIGON cinema drone which is used in film production in big blockbuster movies is operated by 2 people. Drones provide access to dangerous, remote or otherwise inaccessible sites.
Agriculture, forestry and environmental studiesEdit
As global demand for food production grows exponentially, resources are depleted, farmland is reduced, and agricultural labor is increasingly in short supply, there is an urgent need for more convenient and smarter agricultural solutions than traditional methods, and the agricultural drone and robotics industry is expected to make progress. Agricultural drones have been used in areas such as Africa to help build sustainable agriculture.
UAVs are also now widely used to survey wildlife such as nesting seabirds, seals and even wombat burrows 
Safety and securityEdit
UAVs can threaten airspace security in numerous ways, including unintentional collisions or other interference with other aircraft, deliberate attacks or by distracting pilots or flight controllers. The first incident of a drone-airplane collision occurred in mid-October 2017 in Quebec City, Canada. The first recorded instance of a drone collision with a hot air balloon occurred on 10 August 2018 in Driggs, Idaho, United States; although there was no significant damage to the balloon nor any injuries to its 3 occupants, the balloon pilot reported the incident to the National Transportation Safety Board, stating that "I hope this incident helps create a conversation of respect for nature, the airspace, and rules and regulations". Unauthorized UAV flights into or near major airports have prompted extended shutdowns of commercial flights.
Drones caused significant disruption at Gatwick Airport during December 2018, needing the deployment of the British Army.
In the United States, flying close to a wildfire is punishable by a maximum $25,000 fine. Nonetheless, in 2014 and 2015, firefighting air support in California was hindered on several occasions, including at the Lake Fire and the North Fire. In response, California legislators introduced a bill that would allow firefighters to disable UAVs which invaded restricted airspace. The FAA later required registration of most UAVs.
By 2017, drones were being used to drop contraband into prisons.
The interest in UAVs cyber security has been raised greatly after the Predator UAV video stream hijacking incident in 2009, where Islamic militants used cheap, off-the-shelf equipment to stream video feeds from a UAV. Another risk is the possibility of hijacking or jamming a UAV in flight. Several security researchers have made public some vulnerabilities in commercial UAVs, in some cases even providing full source code or tools to reproduce their attacks. At a workshop on UAVs and privacy in October 2016, researchers from the Federal Trade Commission showed they were able to hack into three different consumer quadcopters and noted that UAV manufacturers can make their UAVs more secure by the basic security measures of encrypting the Wi-Fi signal and adding password protection.
UAVs could be loaded with dangerous payloads, and crashed into vulnerable targets. Payloads could include explosives, chemical, radiological or biological hazards. UAVs with generally non-lethal payloads could possibly be hacked and put to malicious purposes. Anti-UAV systems are being developed by states to counter this threat. This is, however, proving difficult. As Dr J. Rogers stated in an interview to A&T "There is a big debate out there at the moment about what the best way is to counter these small UAVs, whether they are used by hobbyists causing a bit of a nuisance or in a more sinister manner by a terrorist actor".
Counter unmanned air systemEdit
The malicious use of UAVs has led to the development of counter unmanned air system (C-UAS) technologies. Automatic tracking and detection of UAVs from commercial cameras have become accurate thanks to the development of deep learning based machine learning algorithms. It is also possible to automatically identify UAVs across different cameras with different view points and hardware specification with re-identification methods. Commercial solutions such as the Aaronia AARTOS have been installed on major international airports. Anti-aircraft missile systems such as the Iron Dome are also being enhanced with C-UAS technologies. Utilising a smart UAV swarm to counter one or more hostile UAVs is also proposed.
The use of unmanned aerial vehicles is becoming increasingly regulated by the civil aviation authorities of individual countries. Regulatory regimes can differ significantly according to drone size and use. The International Civil Aviation Organization (ICAO) began exploring the use of drone technology as far back as 2005, which resulted in a 2011 report. France was among the first countries to set a national framework based on this report and larger aviation bodies such as the FAA and the EASA quickly followed suit. In 2021, the FAA published a rule requiring all commercially-used UAVs and all UAVs regardless of intent weighing 250g or more to participate in Remote ID, which makes drone locations, controller locations, and other information public from takeoff to shutdown; this rule has since been challenged in the pending federal lawsuit RaceDayQuads v. FAA.
The export of UAVs or technology capable of carrying a 500 kg payload at least 300 km is restricted in many countries by the Missile Technology Control Regime.
- List of unmanned aerial vehicles
- Delivery drone
- Drone in a Box
- International Aerial Robotics Competition
- List of films featuring drones
- Micromechanical Flying Insect
- Radio-controlled aircraft
- Satellite Sentinel Project
- Tactical Control System
- UAV ground control station
- Unmanned underwater vehicle
- Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F., "Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring" Aerospace Science and Technology, 2022.
- Cary, Leslie; Coyne, James. "ICAO Unmanned Aircraft Systems (UAS), Circular 328". 2011–2012 UAS Yearbook – UAS: The Global Perspective (PDF). Blyenburgh & Co. pp. 112–115. Archived from the original (PDF) on 4 March 2016. Retrieved 26 February 2022.
- Hu, J.; Lanzon, A. (2018). "An innovative tri-rotor drone and associated distributed aerial drone swarm control". Robotics and Autonomous Systems. 103: 162–174. doi:10.1016/j.robot.2018.02.019.
- Tice, Brian P. (Spring 1991). "Unmanned Aerial Vehicles – The Force Multiplier of the 1990s". Airpower Journal. Archived from the original on 24 July 2009. Retrieved 6 June 2013.
When used, UAVs should generally perform missions characterized by the three Ds: dull, dirty, and dangerous.
- Hu, J.; Bhowmick, P.; Jang, I.; Arvin, F.; Lanzon, A., "A Decentralized Cluster Formation Containment Framework for Multirobot Systems" IEEE Transactions on Robotics, 2021.
- Alvarado, Ed (3 May 2021). "237 Ways Drone Applications Revolutionize Business". Drone Industry Insights. Retrieved 11 May 2021.
- Skiadopoulos, Konstantinos; Giannakis, Konstantinos; Tsipis, Athanasios; Oikonomou, Konstantinos; Stavrakakis, Ioannis (1 September 2020). "Impact of drone route geometry on information collection in wireless sensor networks". Ad Hoc Networks. 106: 102220. doi:10.1016/j.adhoc.2020.102220. ISSN 1570-8705.
- Koparan, Cengiz; Koc, A. Bulent; Privette, Charles V.; Sawyer, Calvin B. (March 2020). "Adaptive Water Sampling Device for Aerial Robots". Drones. 4 (1): 5. doi:10.3390/drones4010005.
- Koparan, Cengiz; Koc, Ali Bulent; Privette, Charles V.; Sawyer, Calvin B.; Sharp, Julia L. (May 2018). "Evaluation of a UAV-Assisted Autonomous Water Sampling". Water. 10 (5): 655. doi:10.3390/w10050655.
- Koparan, Cengiz; Koc, Ali Bulent; Privette, Charles V.; Sawyer, Calvin B. (March 2018). "In Situ Water Quality Measurements Using an Unmanned Aerial Vehicle (UAV) System". Water. 10 (3): 264. doi:10.3390/w10030264.
- Koparan, Cengiz; Koc, Ali Bulent; Privette, Charles V.; Sawyer, Calvin B. (March 2019). "Autonomous In Situ Measurements of Noncontaminant Water Quality Indicators and Sample Collection with a UAV". Water. 11 (3): 604. doi:10.3390/w11030604.
- "Drones smuggling porn, drugs to inmates around the world". Fox News. 17 April 2017.
- Note; the term "drone" refers to the male bee that serves only to fertilize the queen bee, hence the use of the name in reference to the DH Queen Bee aerial target.
- "Drones and Artificial Intelligence". Drone Industry Insights. 28 August 2018. Retrieved 11 April 2020.
- "What is the difference between a drone and an RC plane or helicopter?". Drones Etc. Archived from the original on 17 November 2015. Retrieved 12 October 2015.
- "unmanned aerial vehicle". TheFreeDictionary.com. Retrieved 8 January 2015.
- Guilmartin, John F. "unmanned aerial vehicle". Encyclopedia Britannica. Retrieved 24 March 2020.
- "Unmanned Aircraft Systems Roadmap" (PDF). Archived from the original (PDF) on 2 October 2008.
- "European ATM Master Plan 2015 | SESAR". www.sesarju.eu. Archived from the original on 6 February 2016. Retrieved 3 February 2016.
- "State government gears up for autonomous RPAS mapping". 23 January 2017.
- Kucharczyk, Maja; Hugenholtz, Chris (2021). "Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities". Remote Sensing of Environment. 264: 112577. Bibcode:2021RSEnv.264k2577K. doi:10.1016/j.rse.2021.112577. Retrieved 28 November 2021.
- "Canadian Aviation Regulations". Government of Canada – Justice Laws Website. 1 June 2019. Retrieved 16 January 2019.
- "UAV classification". Retrieved 10 June 2022.
- "Eyes of the Army: U.S. Army Roadmap for UAS 2010–2035" (PDF). Retrieved 10 June 2022.
- "Nano, micro, small: The different drone types in India & if Jammu-like strike can be averted", ThePrint, 29 June 2021.
- Drones, Percepto (3 January 2019). "The Differences Between UAV, UAS, and Autonomous Drones". Percepto.
- The Encyclopedia of the Arab-Israeli Conflict: A Political, Social, and Military History: A Political, Social, and Military History, ABC-CLIO, 12 May 2008, by Spencer C. Tucker, Priscilla Mary Roberts, pages 1054–55 ISBN
- The Future of Drone Use: Opportunities and Threats from Ethical and Legal Perspectives, Asser Press – Springer, chapter by Alan McKenna, page 355
- Kaplan, Philip (2013). Naval Aviation in the Second World War. Pen and Sword. p. 19. ISBN 978-1-4738-2997-8.
- Hallion, Richard P. (2003). Taking Flight: Inventing the Aerial Age, from Antiquity through the First World War. Oxford University Press. p. 66. ISBN 978-0-19-028959-1.
- Naval Aviation in the First World War: Its Impact and Influence, R. D. Layman, page 56
- Renner, Stephen L. (2016). Broken Wings: The Hungarian Air Force, 1918–45. Indiana University Press. p. 2. ISBN 978-0-253-02339-1.
- Murphy, Justin D. (2005). Military Aircraft, Origins to 1918: An Illustrated History of Their Impact. ABC-CLIO. pp. 9–10. ISBN 978-1-85109-488-2.
- Haydon, F. Stansbury (2000). Military Ballooning During the Early Civil War. JHU Press. pp. 18–20. ISBN 978-0-8018-6442-1.
- "Mikesh, Robert C. "Japan's World War II balloon bomb attacks on North America." (1973)" (PDF).
- Sarkar 2006, page 97
- H. R. Everett, Unmanned Systems of World Wars I and II, MIT Press – 2015, pages 91–95
- Taylor, John W. R.. Jane's Pocket Book of Remotely Piloted Vehicles.
- Professor A. M. Low FLIGHT, 3 October 1952 page 436 "The First Guided Missile"
- Dempsey, Martin E. (9 April 2010). "Eyes of the Army—U.S. Army Roadmap for Unmanned Aircraft Systems 2010–2035" (PDF). U.S. Army. Archived from the original (PDF) on 22 September 2018. Retrieved 6 March 2011.
- Says, Robert Kanyike (21 May 2012). "History of U.S. Drones".
Andersson, Lennart (1994). Soviet Aircraft and Aviation, 1917–1941. The Putnam Aviation Series. Annapolis, Maryland: Naval Institute Press. p. 249. ISBN 9781557507709. Retrieved 18 December 2021.
Experiments with a pilotless drone version of the TB-1 controlled by radio from other aircraft started in 1935 and continued until 1939.
- Wagner 1982, p. xi.
- Wagner 1982, p. xi, xii.
- Wagner 1982, p. xii.
- Wagner 1982, p. 79.
- Wagner 1982, p. 78, 79.
Dunstan, Simon (2013). Israeli Fortifications of the October War 1973. Osprey Publishing. p. 16. ISBN 9781782004318. Retrieved 25 October 2015.
The War of Attrition was also notable for the first use of UAVs, or unmanned aerial vehicles, carrying reconnaissance cameras in combat.
Saxena, V. K. (2013). The Amazing Growth and Journey of UAV's and Ballistic Missile Defence Capabilities: Where the Technology is Leading to?. Vij Books India Pvt Ltd. p. 6. ISBN 9789382573807. Retrieved 25 October 2015.
During the Yom Kippur War the Israelis used Teledyne Ryan 124 R RPVs along with the home-grown Scout and Mastiff UAVs for reconnaissance, surveillance, and as decoys to draw fire from Arab SAMs. This resulted in Arab forces expending costly and scarce missiles on inappropriate targets [...].
- Blum, Howard (2003). The eve of destruction: the untold story of the Yom Kippur War. HarperCollins. ISBN 9780060013998.
- Wagner 1982, p. 202.
- Wagner 1982, p. 200, 212.
- Wagner 1982, p. 208.
- "A Brief History of UAVs". Howstuffworks.com. 22 July 2008. Retrieved 8 January 2015.
- "Russia Buys A Bunch of Israeli UAVs". Strategypage.com. Retrieved 8 January 2015.
- Azoulai, Yuval (24 October 2011). "Unmanned combat vehicles shaping future warfare". Globes. Retrieved 8 January 2015.
- Levinson, Charles (13 January 2010). "Israeli Robots Remake Battlefield". The Wall Street Journal. p. A10. Retrieved 13 January 2010.
- Gal-Or, Benjamin (1990). Vectored Propulsion, Supermaneuverability & Robot Aircraft. Springer Verlag. ISBN 978-3-540-97161-0.
- Z. Goraj; A. Frydrychewicz; R. Świtkiewicz; B. Hernik; J. Gadomski; T. Goetzendorf-Grabowski; M. Figat; St Suchodolski; W. Chajec. report (PDF). Bulletin of the Polish Academy of Sciences, Technical Sciences, Volume 52. Number 3, 2004. Retrieved 9 December 2015.
- Community Research and Development Information Service. Civil uav application and economic effectiveness of potential configuration solutions. published by the Publications Office of the European Union. Retrieved 9 December 2015.
- Ackerman, Spencer; Shachtman, Noah (9 January 2012). "Almost 1 in 3 U.S. Warplanes Is a Robot". WIRED. Retrieved 8 January 2015.
- Singer, Peter W. "A Revolution Once More: Unmanned Systems and the Middle East" Archived 6 August 2011 at the Wayback Machine, The Brookings Institution, November 2009.
- Radsan, AJ; Murphy (2011). "Measure Twice, Shoot Once: Higher Care for Cia-Targeted Killing". Univ. Ill. Law Rev.:1201–1241.
- Sayler (2015)
- Franke, Ulrike Esther ["The global diffusion of unmanned aerial vehicles (UAVs) or 'drones'"], in Mike Aaronson (ed) Precision Strike Warfare and International Intervention, Routledge 2015.
- Hambling, David. "Drones may have attacked humans fully autonomously for the first time". New Scientist. Retrieved 30 May 2021.
- "Killer drone 'hunted down a human target' without being told to". New York Post. 29 May 2021. Retrieved 30 May 2021.
Forestier-Walker, Robin (13 October 2020). "Nagorno-Karabakh: New weapons for an old conflict spell danger". Al Jazeera. Retrieved 18 December 2021.
[...] battlefield videos and the known military capabilities of the two warring sides suggest Azerbaijan has the technological advantage, especially with its combat drones purchased from Israel and Turkey.
- "Drone flies as both biplane and helicopter using one propeller". Engadget.
- "Model airplane history-maker Maynard Hill dies at the age of 85". Washington Post.
- Chirarattananon, Pakpong; Ma, Kevin Y; Wood, J (22 May 2014), "Adaptive control of a millimeter-scale flapping-wing robot" (PDF), Bioinspiration & Biomimetics, 9 (2): 025004, Bibcode:2014BiBi....9b5004C, CiteSeerX 10.1.1.650.3728, doi:10.1088/1748-3182/9/2/025004, PMID 24855052, S2CID 12799012, archived from the original (PDF) on 16 April 2016
- Sarah Knapton (29 March 2016). "Giant remote-controlled beetles and 'biobot' insects could replace drones". The Telegraph. Archived from the original on 1 April 2016.
- Floreano, Dario; Wood, Robert J. (27 May 2015). "Science, technology and the future of small autonomous drones". Nature. 521 (7553): 460–466. Bibcode:2015Natur.521..460F. doi:10.1038/nature14542. PMID 26017445. S2CID 4463263.
- Fasano, Giancarmine; Accardo, Domenico; Tirri, Anna Elena; Moccia, Antonio; De Lellis, Ettore (1 October 2015). "Radar/electro-optical data fusion for non-cooperative UAS sense and avoid". Aerospace Science and Technology. 46: 436–450. doi:10.1016/j.ast.2015.08.010.
- "Arduino Playground – WhatIsDegreesOfFreedom6DOF9DOF10DOF11DOF". playground.arduino.cc. Retrieved 4 February 2016.
- Carlson, Daniel F.; Rysgaard, Søren (1 January 2018). "Adapting open-source drone autopilots for real-time iceberg observations". MethodsX. 5: 1059–1072. doi:10.1016/j.mex.2018.09.003. ISSN 2215-0161. PMC 6139390. PMID 30225206.
- Yirka, Bob. "Open-source and open hardware autonomous quadrotor flies fast and avoids obstacles". techxplore.com. Retrieved 20 July 2022.
- Foehn, Philipp; Kaufmann, Elia; Romero, Angel; Penicka, Robert; Sun, Sihao; Bauersfeld, Leonard; Laengle, Thomas; Cioffi, Giovanni; Song, Yunlong; Loquercio, Antonio; Scaramuzza, Davide (22 June 2022). "Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight". Science Robotics. 7 (67): eabl6259. doi:10.1126/scirobotics.abl6259. ISSN 2470-9476. PMID 35731886. S2CID 249955269.
- Lesko, J.; Schreiner, M.; Megyesi, D.; Kovacs, Levente (November 2019). "Pixhawk PX-4 Autopilot in Control of a Small Unmanned Airplane". 2019 Modern Safety Technologies in Transportation (MOSATT). Kosice, Slovakia: IEEE: 90–93. doi:10.1109/MOSATT48908.2019.8944101. ISBN 978-1-7281-5083-3. S2CID 209695691.
- Pierre-Jean Bristeau; François Callou; David Vissière; Nicolas Petit (2011). "The Navigation and Control technology inside the AR.Drone micro UAV" (PDF). IFAC World Congress.
- "Cellular enables safer drone deployments". Qualcomm. Retrieved 9 May 2018.
- "Identifying Critical Manned-Unmanned Teaming Skills for Unmanned Aircraft System Operators" (PDF). U.S. Army Research Institute for the Behavioral and Social Sciences. September 2012. Archived (PDF) from the original on 6 February 2016.
- "Minimum requirements related to technical performance for IMT-2020 radio interface(s)". www.itu.int. Retrieved 8 October 2020.
- "Automated Vehicles for Safety | NHTSA". www.nhtsa.gov. Retrieved 8 October 2021.
- Clough, Bruce (August 2002). "Metrics, Schmetrics! How The Heck Do You Determine A UAV's Autonomy Anyway?". US Air Force Research Laboratory. Archived from the original on 24 September 2020.
- Davenport, Christian (23 April 2015). "Watch a step in Navy history: an autonomous drone gets refueled mid-air". The Washington Post. ISSN 0190-8286. Retrieved 3 February 2016.
- Kakaletsis, Efstratios; Symeonidis, Charalampos; Tzelepi, Maria; Mademlis, Ioannis; Tefas, Anastasios; Nikolaidis, Nikos; Pitas, Ioannis (2021). "Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example". ACM Computing Surveys. New York, NY: ACM. 54 (9): 1–37. doi:10.1145/3472288. S2CID 241273504.
- "Teaching tiny drones how to fly themselves". Ars Technica. 27 November 2012. Retrieved 4 February 2016.
- "Biomimetics and Dextrous Manipulation Lab – MultiModalRobots". bdml.stanford.edu. Retrieved 21 March 2016.
- D'Andrea, Raffaello. "The astounding athletic power of quadcopters". www.ted.com. Retrieved 4 February 2016.
- Yanguo, Song; Huanjin, Wang (1 June 2009). "Design of Flight Control System for a Small Unmanned Tilt Rotor Aircraft". Chinese Journal of Aeronautics. 22 (3): 250–256. doi:10.1016/S1000-9361(08)60095-3.
- "The device, designed for landing UAV helicopter type on a flat vertical surface". patents.google.com.
- Inc., Pelonis Technologies. "The Importance of Proper Cooling and Airflow for Optimal Drone Performance". Retrieved 22 June 2018.
- "yeair! The quadcopter of the future. From 1399 €". Kickstarter. Retrieved 4 February 2016.
- "Flying on Hydrogen: Georgia Tech Researchers Use Fuel Cells to Power Unmanned Aerial Vehicle | Georgia Tech Research Institute". www.gtri.gatech.edu. Retrieved 4 February 2016.
- "Hydrogen-powered Hycopter quadcopter could fly for 4 hours at a time". www.gizmag.com. 20 May 2015. Retrieved 4 February 2016.
- Gibbs, Yvonne (31 March 2015). "NASA Armstrong Fact Sheet: Beamed Laser Power for UAVs". NASA. Retrieved 22 June 2018.
- Vertical Challenge: "Monsters of the sky" (PDF), archived from the original (PDF) on 11 September 2013
- "General Atomics Gnat". Designation-systems.net. Retrieved 8 January 2015.
- "UAV Notes". Archived from the original on 30 July 2013.
- "Trans atlantic Model". Tam.plannet21.com. Archived from the original on 22 May 2016. Retrieved 8 January 2015.
- "QinetiQ's Zephyr UAV exceeds official world record for longest duration unmanned flight" (Press release). QinetiQ. 10 September 2007. Archived from the original on 23 April 2011.
- Simonite, Tom. "New Scientist Technology Blog: Solar plane en route to everlasting flight". New Scientist. Archived from the original on 2 April 2015. Retrieved 8 January 2015.
- "Northrop Grumman's Global Hawk Unmanned Aircraft Sets 33-Hour Flight Endurance Record". Spacewar.com. Retrieved 27 August 2013.
- "QinetiQ's Zephyr UAV flies for three and a half days to set unofficial world record for longest duration unmanned flight" (Press release). QinetiQ. 24 August 2008. Archived from the original on 24 May 2011.
- "QinetiQ files for three world records for its Zephyr Solar powered UAV". QinetiQ (Press release). Qinetiq. 24 August 2010. Archived from the original on 24 September 2010.
- Boniol (December 2014). "Towards Modular and Certified Avionics for UAV" (PDF). Aerospacelab Journal.
- D. Boskovic and Knoebel (2009). "A Comparison Study of Several Adaptive Control Strategies for Resilient Flight Control" (PDF). AIAA Guidance, Navigation andControl Conference. Archived from the original (PDF) on 4 February 2016.
- Atkins. "Certifiable Autonomous Flight Management for Unmanned Aircraft Systems". University of Michigan.
- Subhav Pradhan; William Otte; Abhishek Dubey; Aniruddha Gokhale; Gabor Karsai (2013). "Key Considerations for a Resilient and Autonomous Deployment and Configuration Infrastructure for Cyber-Physical Systems" (PDF). Dept. of Electrical Engineering and Computer Science Vanderbilt University, Nashville.
- "How Autonomous Drone Flights Will Go Beyond Line of Sight". Nanalyze. 31 December 2019.
- McNabb, Miriam (28 February 2020). "Drones Get the Lights Back on Faster for Florida Communities". DRONELIFE.
- Peck, Abe (19 March 2020). "Coronavirus Spurs Percepto's Drone-in-a-Box Surveillance Solution". Inside Unmanned Systems.
- Valle, Roberto G. (January 2022). "Rapid drone semi‐automated counts of wintering Greater Flamingos ( Phoenicopterus roseus ) as a tool for amateur researchers". Ibis. 164 (1): 320–328. doi:10.1111/ibi.12993. ISSN 0019-1019. S2CID 237865267.
- Mademlis, Ioannis; Nikolaidis, Nikos; Tefas, Anastasios; Pitas, Ioannis; Wagner, Tilman; Messina, Alberto. "Autonomous UAV Cinematography: A Tutorial and a Formalized Shot-Type Taxonomy". ACM.org. Association for Computing Machinery. Retrieved 3 November 2022.
- Horowitz, Michael C. (2020). "Do Emerging Military Technologies Matter for International Politics?". Annual Review of Political Science. 23: 385–400. doi:10.1146/annurev-polisci-050718-032725.
- "Strengthening Turkish Policy on Drone Exports". Carnegie Endowment for International. Retrieved 17 March 2022.
- "Turkey's defense industry targets more than $4 billion in exports this year: Official". Hürriyet Daily News. 6 March 2022. Retrieved 17 March 2022.
- "Combat drones in China are coming to a conflict near you". www.intelligent-aerospace.com.
- "Market for Military Drones will Surge". 27 October 2016.
- "Turkish defence industry grows as Akinci UCAV signs first export deal". TRTWORLD. 23 January 2022. Retrieved 17 March 2022.
- Arnett, George (16 March 2015). "The numbers behind the worldwide trade in UAVs". The Guardian.
- "Pentagon Plans for Cuts to Drone Budgets". DoD Buzz. 2 January 2014. Archived from the original on 8 January 2015. Retrieved 17 March 2022.
- Bateman, Joshua (1 September 2017). "China drone maker DJI: Alone atop the unmanned skies". News Ledge.
- Friedman, Lisa; McCabe, David (29 January 2020). "Interior Dept. Grounds Its Drones Over Chinese Spying Fears". The New York Times. ISSN 0362-4331. Archived from the original on 29 January 2020. Retrieved 17 November 2020.
- Miller, Maggie (8 October 2020). "DOJ bans use of grant funds for certain foreign-made drones". TheHill. Retrieved 17 November 2020.
- "DJI MARKET SHARE: HERE'S EXACTLY HOW RAPIDLY IT HAS GROWN IN JUST A FEW YEARS". Emberify Blog. Retrieved 18 September 2018.
- "UAS by the Numbers". www.faa.gov. Retrieved 24 May 2021.
- "Consumer Drones By the Numbers in 2018 and Beyond | News Ledge". News Ledge. 4 April 2017. Retrieved 13 October 2018.
- "Skylark Drones set to raise its first round of funding to boost expansion". 14 September 2015. Retrieved 28 August 2016.
- Peterson, Andrea (19 August 2013). "States are competing to be the Silicon Valley of drones". The Washington Post. ISSN 0190-8286. Retrieved 4 February 2016.
- "Drone Training Courses – The Complete List". Drone Business Marketer. Retrieved 1 December 2016.
- "IDF buying mass-market DJI drones". Jane's 360. Archived from the original on 11 December 2017.
- The U.S. Military Shouldn't Use Commercial Drones – slate. August 2017
- "DJI Won the Drone Wars, and Now It's Paying the Price". Bloomberg.com. 26 March 2020. Retrieved 18 November 2020.
- "大疆创新与新疆自治区公安厅结为警用无人机战略合作伙伴". YouUAV.com. 24 December 2017.
- Flying High – pwc. November 2018
- "Drone Light Shows Powered by Intel". Intel. Retrieved 28 June 2021.
- "AERIGON cinema drone (UAV) pioneering in film production".
- "Global Agriculture Drones and Robots Market Analysis & Forecast, 2018-2028 - ResearchAndMarkets.com". finance.yahoo.com. Retrieved 23 May 2019.
- "Africa Farming Problems Aided With Drone Technology". Drone Addicts. 12 March 2018. Retrieved 23 May 2019.
- "Drones That Launch Flaming Balls Are Being Tested To Help Fight Wildfires". NPR.org.
- Old JM, Lin S H, Franklin MJM (2019). Mapping out bare-nosed wombat (Vombatus ursinus) burrows with the use of a drone. BMC Ecology. 19:39. DOI: 10.1186/s12898-019-0257-5
- Faust, Daniel R. (2015). Police Drones (1 ed.). New York: The Rosen Publishing Group, Inc. ISBN 9781508145028. Retrieved 20 February 2020.
- Dent, Steve (16 October 2017). "Drone hits a commercial plane for the first time in Canada". Engadget. Archived from the original on 16 October 2017. Retrieved 16 October 2017.
- Tellman, Julie (28 September 2018). "First-ever recorded drone-hot air balloon collision prompts safety conversation". Teton Valley News. Boise, Idaho, United States: Boise Post-Register. Retrieved 3 October 2018.
- "Drones need to be encouraged, and people protected". The Economist. 26 January 2019. ProQuest 2171135630. Retrieved 28 June 2020.
- Halon, Eytan (21 December 2018). "Israeli anti-drone technology brings an end to Gatwick Airport chaos – International news – Jerusalem Post". jpost.com. Retrieved 22 December 2018.
- Matthew Weaver; Damien Gayle; Patrick Greenfield; Frances Perraudin (20 December 2018). "Military called in to help with Gatwick drone crisis". The Guardian. Retrieved 22 December 2018.
- "In The Heat of the Moment, Drones Are Getting in the Way of Firefighters". NPR.org.
- Michael Martinez; Paul Vercammen; Ben Brumfield. "Drones visit California wildfire, angering firefighters". CNN.
- Medina, Jennifer (19 July 2015). "Chasing Video With Drones, Hobbyists Imperil California Firefighting Efforts". Archived from the original on 21 July 2015 – via NYTimes.com.
- Rocha, Veronica (21 July 2015). "Attack on the drones: Legislation could allow California firefighters to take them down" – via LA Times.
- "Prisons Work To Keep Out Drug-Smuggling Drones". NPR.org.
- Mike Mount; Elaine Quijano. "Iraqi insurgents hacked Predator drone feeds, U.S. official indicates". CNN.com. Retrieved 6 December 2016.
- Walters, Sander (29 October 2016). "How Can Drones Be Hacked? The updated list of vulnerable drones & attack tools". Medium. Retrieved 6 December 2016.
- Glaser, April (4 January 2017). "The U.S. government showed just how easy it is to hack drones made by Parrot, DBPower and Cheerson". Recode. Retrieved 6 January 2017.
- "Anti-drone technology to be test flown on UK base amid terror fears". 6 March 2017. Retrieved 9 May 2017.
- Isaac-Medina, Brian K. S.; Poyser, Matthew; Organisciak, Daniel; Willcocks, Chris G.; Breckon, Toby P.; Shum, Hubert P. H. (2021). Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. pp. 1223–1232. arXiv:2103.13933.
- Organisciak, Daniel; Poyser, Matthew; Alsehaim, Aishah; Hu, Shanfeng; Isaac-Medina, Brian K. S.; Breckon, Toby P.; Shum, Hubert P. H. (2022). "UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery". Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SciTePress. pp. 136–146. arXiv:2104.06219. doi:10.5220/0010836600003124. ISBN 978-989-758-555-5.
- "Heathrow picks C-UAS to combat drone disruption". Retrieved 13 March 2019.
- "Muscat International Airport to install USD10 million Aaronia counter-UAS system". Retrieved 21 January 2019.
- Hartley, John; Shum, Hubert P. H.; Ho, Edmond S. L.; Wang, He; Ramamoorthy, Subramanian (2022). "Formation Control for UAVs Using a Flux Guided Approach". Expert Systems with Applications. Elsevier. 205: 117665. arXiv:2103.09184. doi:10.1016/j.eswa.2022.117665. ISSN 0957-4174. S2CID 232240581.
- "What is unmanned traffic management?". Airbus. Airbus. Retrieved 28 January 2021.
- Cary, Leslie; Coyne, James. "ICAO Unmanned Aircraft Systems (UAS), Circular 328". 2011–2012 UAS Yearbook – UAS: The Global Perspective (PDF). Blyenburgh & Co. pp. 112–115. Archived from the original (PDF) on 4 March 2016. Retrieved 26 February 2022.
- Boedecker, Hendrik. "The 2021 Drone Regulation – What is new? What is planned?". Drone Industry Insights. Retrieved 17 May 2021.
- "UAS Remote Identification Overview". www.faa.gov. Retrieved 29 May 2021.
- "FAA Legal Battle – Challenging Remote ID". RaceDayQuads. Retrieved 29 May 2021.
- Axe, David. Drone War Vietnam. Pen & Sword, Military. Great Britain. (2021). ISBN 978 1 52677 026 4
- Sayler, Kelley (June 2015). "A world of proliferated drones: a technology primer" (PDF). Center for a New American Security. Archived from the original (PDF) on 6 March 2016.
- Wagner, William (1982), Lightning Bugs and other Reconnaissance Drones; The can-do story of Ryan's unmanned spy planes, Armed Forces Journal International : Aero Publishers, ISBN 978-0-8168-6654-0
- Javier Garcia-Bernardoa; Peter Sheridan Dodds; Neil F. Johnson (2016). "Quantitative patterns in drone wars" (PDF). Science direct. Archived from the original (PDF) on 6 February 2016.
- Hill, J., & Rogers, A. (2014). The rise of the drones: From The Great War to Gaza. Vancouver Island University Arts & Humanities Colloquium Series.
- Rogers, A., & Hill, J. (2014). Unmanned: Drone warfare and global security. Between the Lines. ISBN 9781771131544
- How Intelligent Drones Are Shaping the Future of Warfare, Rolling Stone Magazine