... UAV fast path planning based on improved A~* algorithm. In: Proceedings of 2020 2nd International Conference on ... obstacle avoidance for manipulators and mobile robots. Int. J. Robot. Res. 5(1), 90–98 (1986) 5. Khosla, P., Volpe ...
This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks.
... based For- est Fire Detection and monitoring for reducing false alarms in forest-fires. Comput. Commun. 149, 1–16 (2020) 4. Dong, J., Ota, K., Dong, M.: UAV-based real-time ... Target Tracking Yiduo Multi-obstacle Avoidance of UAV 71.
This book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to ...
Most applications of Unmanned Aerial Vehicles are related to events that occur on the ground.
... deep reinforcement learning for UAV autonomous path planning. Aerosp. Sci. Technol. 118, 1–13 (2021) 2. Li, Y.Q.: Path planning for region surveillance of multi-UAV based ... obstacle avoidance control, pp. 77–92. Chinese Academy of Sciences ...
This book is a printed edition of the Special Issue "UAV-Based Remote Sensing" that was published in Sensors
This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games.
This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of ...
... target tracking via deep reinforcement learning. IEEE Access 29064–29074 48. Li L, Sun L, Jin J (2015) Survey of ... based collision avoidance and reactive navigation using RRT* and signed distance field for multirotor UAVs. In ...