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Published in 2020 at "International Journal of Aeronautical and Space Sciences"
DOI: 10.1007/s42405-020-00254-x
Abstract: This paper explores the feasibility of a framework for vision-based obstacle avoidance techniques that can be applied to unmanned aerial vehicles, where such decision-making policies are trained upon supervision of actual human flight data. The…
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Keywords:
obstacle avoidance;
based obstacle;
vision based;
neural networks ... See more keywords