Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning

Tianpei Liao; Amal Haridevan; Yibo Liu; Jinjun Shan

Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning

Machine Learning 2021-09-20 v1 Computer Vision and Pattern Recognition Robotics

Authors: Tianpei Liao , Amal Haridevan , Yibo Liu , Jinjun Shan

Abstract

There is a risk of collision when multiple UAVs land simultaneously without communication on the same platform. This work accomplishes vision-based autonomous landing and uses a deep-learning-based method to realize collision avoidance during the landing process.

Keywords

unmanned aerial vehicle uav tracking autonomous driving

Cite

@article{arxiv.2109.08628,
  title  = {Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning},
  author = {Tianpei Liao and Amal Haridevan and Yibo Liu and Jinjun Shan},
  journal= {arXiv preprint arXiv:2109.08628},
  year   = {2021}
}

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