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Target detection and classification via EfficientDet and CNN over unmanned aerial vehicles. [PDF]

open access: yesFront Neurorobot
Yusuf MO   +6 more
europepmc   +1 more source
Some of the next articles are maybe not open access.

Obstacle Avoidance for Unmanned Aerial Vehicles

Journal of Intelligent & Robotic Systems, 2011
This work is framed within the PITVANT project and aims to contribute to the development of obstacle avoidance techniques for unmanned aerial vehicles (UAVs). The paper describes the design, implementation and experimental evaluation of a potential field obstacle avoidance algorithm based on the fluid mechanics panel methods. Obstacles and the UAV goal
Gonçalo Charters Santos Cruz   +1 more
openaire   +2 more sources

Unmanned Aerial Vehicles

2021
Last January, the General Secretariat of the Council of the European Union produced an estimate that, by the year 2035, the drones' sector will create up to 100,000 new jobs and, in addition, will have an economic impact of more than ten billion euros per year. This chapter takes its cue precisely from the central importance of unmanned aerial vehicles,
openaire   +2 more sources

Unmanned Aerial Vehicles

2020
Unmanned aerial vehicles, otherwise known as drones, are unmanned aircraft that uses radio control equipment and an independent program control device. This includes unmanned helicopters, fixed-wing aircraft, multi-rotor aircraft, unmanned airships, and parawings.
openaire   +2 more sources

Communication Security of Unmanned Aerial Vehicles

IEEE Wireless Communications, 2017
Communication security is critically important for the success of Unmanned Aerial Vehicles (UAVs). With the increasing use of UAVs in military and civilian applications, they often carry sensitive information that adversaries might try to get hold of.
Daojing He, Sammy Chan, Mohsen Guizani
openaire   +1 more source

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