A Tightly-Coupled and Keyframe-Based Visual-Inertial-Lidar Odometry System for UGVs With Adaptive Sensor Reliability Evaluation-Reference-Cited by-同舟云学术

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A Tightly-Coupled and Keyframe-Based Visual-Inertial-Lidar Odometry System for UGVs With Adaptive Sensor Reliability Evaluation

Published:2024-08 Issue:8 Volume:54 Page:4976-4985
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Yin Jun¹^ORCID,Zhuang Yan¹^ORCID,Yan Fei¹^ORCID,Liu Yan-Jun²^ORCID,Zhang Hong³^ORCID

Affiliation:

1. School of Control Science and Engineering, Dalian University of Technology, Dalian, China

2. College of Science, Liaoning University of Technology, Jinzhou, Liaoning, China

3. Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221021/10604682/10521763.pdf?arnumber=10521763

Reference27 articles.

1. Multisensor-Based Navigation and Control of a Mobile Service Robot

2. Nonlinear Filter for Simultaneous Localization and Mapping on a Matrix Lie Group Using IMU and Feature Measurements

3. Indoor Localization for Skid-Steering Mobile Robot by Fusing Encoder, Gyroscope, and Magnetometer

4. A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation

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

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