Chan-Vese model based binocular visual object extraction for UAV autonomous take-off and landing
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7277393/7288906/07288942.pdf?arnumber=7288942
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Air2Land: A deep learning dataset for unmanned aerial vehicle autolanding from air to land;IET Cyber-Systems and Robotics;2022-04-09
2. Deep learning enabled localization for UAV autolanding;Chinese Journal of Aeronautics;2021-05
3. An Enhancement Method of Obtaining Interest Points in Binocular Vision;IFAC-PapersOnLine;2018
4. ROS-based ground stereo vision detection: implementation and experiments;Robotics and Biomimetics;2016-09-02
5. Stereo Vision Guiding for the Autonomous Landing of Fixed-Wing UAVs: A Saliency-Inspired Approach;International Journal of Advanced Robotic Systems;2016-03-01
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