Intelligent Vehicle Positioning Method Based on UWB and GPS Fusion

This paper proposes an intelligent vehicle positioning method based on the fusion of UWB and GPS, which achieves high-precision positioning through the Kalman filter combined with the weighted filtering algorithm. Experiments were conducted on a 1:12 scale off-road vehicle model, and a football field was selected as the test site to compare the positioning errors under the single GPS mode, single UWB mode, and GPS&UWB fusion positioning mode. The results show that the fusion positioning method can reduce the drift deviation generated by the system during continuous operation and improve the navigation stability. This method provides an active exploration for the unmanned driving navigation system, and realizes point-to-point transportation positioning at the lowest cost without using radar mapping for obstacle avoidance and reconstructing transport vehicles.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/eiecc64539.2024.10929592
Citations
1
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
1.30

Funders

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article

Intelligent Vehicle Positioning Method Based on UWB and GPS Fusion

Qing Xiang, Yaoyu Shao
1 citations
GNSS positioning and interference
1.30
article

Intelligent Vehicle Positioning Method Based on UWB and GPS Fusion

Qing Xiang, Yaoyu Shao
article en
1 citations

Abstract

This paper proposes an intelligent vehicle positioning method based on the fusion of UWB and GPS, which achieves high-precision positioning through the Kalman filter combined with the weighted filtering algorithm. Experiments were conducted on a 1:12 scale off-road vehicle model, and a football field was selected as the test site to compare the positioning errors under the single GPS mode, single UWB mode, and GPS&UWB fusion positioning mode. The results show that the fusion positioning method can reduce the drift deviation generated by the system during continuous operation and improve the navigation stability. This method provides an active exploration for the unmanned driving navigation system, and realizes point-to-point transportation positioning at the lowest cost without using radar mapping for obstacle avoidance and reconstructing transport vehicles.

Jianghan University (CN)
Jianghan University
Affordable and clean energy
Openalex Percentile: Top 10%
GNSS positioning and interference
1.30
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