Covariance Estimation for Pose Graph Optimization in Visual-Inertial Navigation Systems-Reference-Cited by-同舟云学术

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Covariance Estimation for Pose Graph Optimization in Visual-Inertial Navigation Systems

Published:2023-06 Issue:6 Volume:8 Page:3657-3667
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Shi Pengcheng¹^ORCID,Zhu Zhikai²,Sun Shiying¹^ORCID,Rong Zheng³^ORCID,Zhao Xiaoguang¹,Tan Min¹^ORCID

Affiliation:

1. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. NIO Inc., Shanghai, China

3. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

Independent Research Project of Medical Engineering Laboratory of Chinese PLA General Hospital

National Natural Science Foundation of China

Science and Technology Project of Beijing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/10187697/10091132.pdf?arnumber=10091132

Reference46 articles.

1. Vehicle Positioning in GNSS-Deprived Urban Areas by Stereo Visual-Inertial Odometry

2. OpenVINS: A Research Platform for Visual-Inertial Estimation

3. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

4. Information Sparsification in Visual-Inertial Odometry

5. ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

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