Enhanced Fast Vision-Based Obstacle Avoidance Algorithm.
SSD(2022)
摘要
In this paper, we propose an extended object size detector to identify the frontal obstacle approaching during quadcopters navigation. This algorithm has a low computation complexity and robustness to the background noise. Experimental results, performed in the GAZEBO simulator, confirm the accuracy and the high performance of the proposed approach.
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关键词
Drone,quadcopter,vision,obstacle-avoidance,autonomous navigation,Canny,GAZEBO
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