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A Monocular Vision Obstacle Avoidance Method Applied to Indoor Tracking Robot
2021
Drones
The overall safety of a building can be effectively evaluated through regular inspection of the indoor walls by unmanned ground vehicles (UGVs). However, when the UGV performs line patrol inspections according to the specified path, it is easy to be affected by obstacles. This paper presents an obstacle avoidance strategy for unmanned ground vehicles in indoor environments. The proposed method is based on monocular vision. Through the obtained environmental information in front of the unmanned
doi:10.3390/drones5040105
fatcat:diebfsndgrhhbihtdhpfzne2li