A Guidance System for Tactical Autonomous Unmanned Aerial Vehicles

被引:0
|
作者
Julius A. Marshall
Robert B. Anderson
Wen-Yu Chien
Eric N. Johnson
Andrea L’Afflitto
机构
[1] Virginia Tech,Grado Department of Industrial and Systems Engineering
[2] The Pennsylvania State University,Department of Aerospace Engineering
来源
Journal of Intelligent & Robotic Systems | 2021年 / 103卷
关键词
Path planning; Trajectory planning; Unmanned aerial vehicles; Tactical behavior;
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学科分类号
摘要
This paper presents an original guidance system able to confer a tactical behavior to multi-rotor unmanned aerial vehicles (UAVs), such as quadcopters, that operate in potentially hostile, unknown, cluttered environments. By applying this guidance system, UAVs complete the assigned tasks, such as reaching a goal set, while minimizing both their exposure to opponents, whose location is unknown, and the predictability of their trajectories. A taxonomy of flight behaviors is provided to help users tuning those parameters that characterize the UAV’s level of cautiousness. This guidance system is supported by an original navigation system that exploits exclusively information gathered by onboard cameras and inertial measurement units. Numerical simulations and flight tests validate the applicability of the proposed guidance system in real-time, while performing all calculations aboard the UAV.
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