NLOS Identification- and Correction-Focused Fusion of UWB and LiDAR-SLAM Based on Factor Graph Optimization for High-Precision Positioning with Reduced Drift

NLOS Identification- and Correction-Focused Fusion of UWB and LiDAR-SLAM Based on Factor Graph Optimization for High-Precision Positioning with Reduced Drift

In this study, we propose a tightly coupled integrated method of ultrawideband (UWB) and light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) for global navigation satellite system (GNSS)-denied environments to achieve high-precision positioning with reduced drift....

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Bibliographic Details
Main Authors: Zhijian Chen, Aigong Xu, Xin Sui, Yuting Hao, Cong Zhang, Zhengxu Shi
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
integrated positioning
UWB
LiDAR-SLAM
NLOS correction
grey prediction model
tightly coupled
Online Access:https://www.mdpi.com/2072-4292/14/17/4258

Internet

https://www.mdpi.com/2072-4292/14/17/4258

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