Field-VIO: Stereo Visual-Inertial Odometry Based on Quantitative Windows in Agricultural Open Fields
Author:
Affiliation:
1. Anhui University,Institutes of Physical Science and Information Technology,Hefei,230601
2. Chinese Academy of Sciences,Hefei Institutes of Physical Science,Hefei,230031
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611284.pdf?arnumber=10611284
Reference36 articles.
1. Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
2. A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors;Qin,2019
3. SVO: Semidirect Visual Odometry for Monocular and Multicamera Systems
4. Robust visual inertial odometry using a direct EKF-based approach
5. Experimental evaluation of Visual‐Inertial Odometry systems for arable farming
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