@inproceedings{c7b0885102ea4ca6a67427fe9bba975d,
title = "Monocular visual based obstacle distance estimation method for ultra-low altitude flight",
abstract = "This paper focuses on the problem of ultra-low-altitude flight obstacle distance estimation for monocular vision-assisted aircraft. First, the basic error model of distance estimation using sequence images is derived and the phenomenon of {"}epipole dead zone{"} is revealed. Then the distance estimation algorithm based on pairs of coplanar points is proposed as well as its error model. This algorithm is proved to be a solution of the {"}epipole dead zone{"} problem theoretically. Finally, numerical simulations show that the proposed distance estimation algorithm can effectively improve the accuracy of distance estimation in the {"}epipole dead zone{"}.",
keywords = "distance estimation, monocular vision, ultra-low altitude flight",
author = "Jin Cheng and Donghui Wei and Wanchun Chen and Wang Gao",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Unmanned Systems, ICUS 2019 ; Conference date: 17-10-2019 Through 19-10-2019",
year = "2019",
month = oct,
doi = "10.1109/ICUS48101.2019.8995950",
language = "英语",
series = "Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "385--390",
booktitle = "Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019",
address = "美国",
}