Visual Environment Assessment for Safe Autonomous Quadrotor Landing

arXiv:2311.10065v3 Announce Type: replace-cross
Abstract: Autonomous identification and evaluation of safe landing zones are of paramount importance for ensuring the safety and effectiveness of aerial robots in the event of system failures, low battery, or the successful completion of specific tasks. In this paper, we present a novel approach for detection and assessment of potential landing sites for safe quadrotor landing. Our solution efficiently integrates 2D and 3D environmental information, eliminating the need for external aids such as GPS and …

abstract aerial arxiv assessment autonomous battery cs.cv cs.ro detection environment evaluation event identification importance landing low novel paper robots safe safety specific tasks tasks type visual