JOURNAL ARTICLE

F-LVINS: Flexible Lidar-Visual-Inertial Odometry Systems

Xiang-Shi TangTeng-Hu Cheng

Year: 2023 Journal:   IEEE Access Vol: 11 Pages: 104028-104037   Publisher: Institute of Electrical and Electronics Engineers

Abstract

The development of a new system called Flexible Lidar-Visual-Inertial Odometry (F-LVINS) offers improved localization accuracy even in challenging environments. This system employs a multi-sensor fusion approach that is flexible and adapts to changes in the environment by utilizing a switching mechanism based on the trace values of the Fisher information matrix (FIM). With this mechanism, the F-LVINS system can automatically switch between different modes, such as Lidar-Visual-Inertial Odometry, Lidar Odometry, and Visual-Inertial Odometry, in order to provide the best possible estimate. The system assesses the reliability of each mode based on the FIM’s trace values, which are calculated from the estimation uncertainty obtained from the Lidar and Visual-Inertial Odometry modules. Experimental evaluations demonstrate that the F-LVINS system outperforms other existing methods by around 10 % in open data sequences.

Keywords:
Lidar Odometry Computer science Computer vision Artificial intelligence Inertial frame of reference Visual odometry Remote sensing Geology Robot Mobile robot Physics

Metrics

1
Cited By
0.52
FWCI (Field Weighted Citation Impact)
28
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
Advanced Optical Sensing Technologies
Physical Sciences →  Physics and Astronomy →  Instrumentation

Related Documents

© 2026 ScienceGate Book Chapters — All rights reserved.