UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning
Mirco Theile,Harald Bayerlein,Richard Nai,David Gesbert,Marco Caccamo,Mirco Theile,Harald Bayerlein,Richard Nai,David Gesbert,Marco Caccamo
Coverage path planning (CPP) is the task of designing a trajectory that enables a mobile agent to travel over every point of an area of interest. We propose a new method to control an unmanned aerial vehicle (UAV) carrying a camera on a CPP mission with random start positions and multiple options for landing positions in an environment containing no-fly zones. While numerous approaches have been p...
