Human-Comfortable Collision Free Navigation for Personal Aerial Vehicles

Semi- or fully-autonomous Personal Aerial Vehicles (PAVs) are currently studied and developed by public and private organizations as a solution for traffic congestion. While optimal collision-free navigation algorithms have been proposed for autonomous robots, trajectories and accelerations for PAVs should also take into account human comfort. In this work, we propose a reactive decentralized collision avoidance strategy that incorporates passenger physiological comfort based on the Optimal Reciprocal Collision Avoidance strategy [1]. We study in simulation the effects of increasing PAV densities on the level of comfort, on the relative flight time and on the number of collisions per flight hour and demonstrate that our strategy reduces collision risk for platforms with limited dynamic range. Finally, we validate our strategy with a swarm of 10 quadcopters flying outdoors.

Published in:
IEEE Robotics and Automation Letter, 2, 1, 358-365
Piscataway, Ieee-Inst Electrical Electronics Engineers Inc

Note: The status of this file is: Anyone

 Record created 2016-11-03, last modified 2020-07-29

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