@inproceedings{a6a28677519f4f05ad193d21a8e12d72,
title = "Integrated navigation system with monocular vision and LIDAR for indoor UAVs",
abstract = "Without the Global Positioning System (GPS), indoor Unmanned Aerial Vehicle (UAV) navigation seems rather insurmountable. And most solutions call for external ground stations or otherwise beacons. But in this paper, for the problem, a set of indoor navigation system that rely solely on onboard equipment is proposed. The core of presented method is based on the evaluation system of the speed and location with monocular vision and the obstacle avoiding system with a laser radar. Compared with a variety of image processing algorithms, eventually two most suitable algorithms for optical flow and visual odometry are put forward. Experiments show that our navigation system is able to achieve stable navigation with high precision and autonomous obstacle avoidance.",
keywords = "LIDAR, UAV, monocular vision, optical flow, visual odometry",
author = "Wenxuan Zheng and Jin Xiao and Tong Xin",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017 ; Conference date: 18-06-2017 Through 20-06-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICIEA.2017.8282971",
language = "英语",
series = "Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "924--929",
booktitle = "Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017",
address = "美国",
}