An Adaptive Fused System of GNSS and Enhanced DR

When the vehicle traverses urban canyons such as valleys, tunnels and underground garages, the positioning accuracy decreases significantly, potentially leading to signal loss. This paper presents an optimised Dead Reckoning (DR) system consisting of a heading projection subsystem and a wheel speed sensor. The heading projection subsystem includes an inertial measurement unit (IMU) and a geomagnetometer to derive a stable, accurate heading angle. Trajectory projection is achieved by integrating speed data from the wheel speed sensor. An adaptive decision making process then evaluates this data, enabling independent calibration of the DR system and GNSS under varying conditions to maintain the integrity of the vehicle's positioning information during GNSS signal degradation or loss.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/cvci63518.2024.10830056
Primary Topic
Inertial Sensor and Navigation
Type
article
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article

An Adaptive Fused System of GNSS and Enhanced DR

Yaonan Wang, Shi-hao Chen, Zhiyu Xiang, Bin Meng et al.
Inertial Sensor and Navigation
article

An Adaptive Fused System of GNSS and Enhanced DR

Yaonan Wang, Shi-hao Chen, Zhiyu Xiang, Bin Meng, Zhuo Liu, X. H. Deng
article en

Abstract

When the vehicle traverses urban canyons such as valleys, tunnels and underground garages, the positioning accuracy decreases significantly, potentially leading to signal loss. This paper presents an optimised Dead Reckoning (DR) system consisting of a heading projection subsystem and a wheel speed sensor. The heading projection subsystem includes an inertial measurement unit (IMU) and a geomagnetometer to derive a stable, accurate heading angle. Trajectory projection is achieved by integrating speed data from the wheel speed sensor. An adaptive decision making process then evaluates this data, enabling independent calibration of the DR system and GNSS under varying conditions to maintain the integrity of the vehicle's positioning information during GNSS signal degradation or loss.

Hunan University (CN), Shandong Institute of Automation (CN), Xiangtan University (CN)
Affordable and clean energy
Openalex Percentile: Top 57%
Inertial Sensor and Navigation
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An Adaptive Fused System of GNSS and Enhanced DR — Yaonan Wang, Shi-hao Chen, et al. · (2024) | TGRS Research Map | TGRS