Accurate and Robust Stereo Direct Visual Odometry for Agricultural Environment
Author:
Funder
National Key Research and Development Program of China
Technology Development
Wuhan University of Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9560720/9560666/09561074.pdf?arnumber=9561074
Cited by 8 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. Field-VIO: Stereo Visual-Inertial Odometry Based on Quantitative Windows in Agricultural Open Fields;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. A Review of Using Visual Odometery Methods in Autonomous UAV Navigation in GPS-Denied Environment;Acta Universitatis Sapientiae, Electrical and Mechanical Engineering;2023-12-01
3. Crop Identification and Growth Stage Determination for Autonomous Navigation of Agricultural Robots;Agronomy;2023-11-22
4. Binocular vision localization based on vision SLAM system with multi-sensor fusion;2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2023-05-12
5. Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review;Computers and Electronics in Agriculture;2023-02
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