Simultaneous correction of GPS error and Map error for improved Map-matching: Algorithm and application

Liu Hongchao; Wei Heng; Xu Hao; Bao Yuanlu

doi:10.1117/12.813088

Simultaneous correction of GPS error and Map error for improved Map-matching: Algorithm and application

Liu Hongchao, Wei Heng, Xu Hao, Bao Yuanlu

Civil Environ Construct Engineering

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

This paper presents an improved map-matching algorithm for GPS-based vehicle navigation systems. The proposed approach attempts to correct the GPS error and the Map error simultaneously through a unique combined Kalman filter and virtual differential error correction approach. An advanced Kalman filter algorithm was developed, which, in conjunction with the virtual differential algorithm, handles the biased error and the random error of GPS as well as the map error. Both the along-track and cross-track errors are considered in the error correction process. The performance of the algorithm is thoroughly examined by sample applications and the results are reasonably well.

Original language	English
Article number	71452S
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7145
DOIs	https://doi.org/10.1117/12.813088
State	Published - 2008
Event	Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments - Guangzhou, China Duration: Jun 28 2008 → Jun 29 2008

Keywords

GPS
Kalman filter
Map-matching
vehicle navigation system
virtual differential method

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10.1117/12.813088

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title = "Simultaneous correction of GPS error and Map error for improved Map-matching: Algorithm and application",

abstract = "This paper presents an improved map-matching algorithm for GPS-based vehicle navigation systems. The proposed approach attempts to correct the GPS error and the Map error simultaneously through a unique combined Kalman filter and virtual differential error correction approach. An advanced Kalman filter algorithm was developed, which, in conjunction with the virtual differential algorithm, handles the biased error and the random error of GPS as well as the map error. Both the along-track and cross-track errors are considered in the error correction process. The performance of the algorithm is thoroughly examined by sample applications and the results are reasonably well.",

keywords = "GPS, Kalman filter, Map-matching, vehicle navigation system, virtual differential method",

author = "Liu Hongchao and Wei Heng and Xu Hao and Bao Yuanlu",

year = "2008",

doi = "10.1117/12.813088",

language = "English",

volume = "7145",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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TY - JOUR

T1 - Simultaneous correction of GPS error and Map error for improved Map-matching

T2 - Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments

AU - Hongchao, Liu

AU - Heng, Wei

AU - Hao, Xu

AU - Yuanlu, Bao

PY - 2008

Y1 - 2008

N2 - This paper presents an improved map-matching algorithm for GPS-based vehicle navigation systems. The proposed approach attempts to correct the GPS error and the Map error simultaneously through a unique combined Kalman filter and virtual differential error correction approach. An advanced Kalman filter algorithm was developed, which, in conjunction with the virtual differential algorithm, handles the biased error and the random error of GPS as well as the map error. Both the along-track and cross-track errors are considered in the error correction process. The performance of the algorithm is thoroughly examined by sample applications and the results are reasonably well.

AB - This paper presents an improved map-matching algorithm for GPS-based vehicle navigation systems. The proposed approach attempts to correct the GPS error and the Map error simultaneously through a unique combined Kalman filter and virtual differential error correction approach. An advanced Kalman filter algorithm was developed, which, in conjunction with the virtual differential algorithm, handles the biased error and the random error of GPS as well as the map error. Both the along-track and cross-track errors are considered in the error correction process. The performance of the algorithm is thoroughly examined by sample applications and the results are reasonably well.

KW - GPS

KW - Kalman filter

KW - Map-matching

KW - vehicle navigation system

KW - virtual differential method

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U2 - 10.1117/12.813088

DO - 10.1117/12.813088

M3 - Conference article

AN - SCOPUS:62649089790

SN - 0277-786X

VL - 7145

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 71452S

Y2 - 28 June 2008 through 29 June 2008

ER -

Simultaneous correction of GPS error and Map error for improved Map-matching: Algorithm and application

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Keywords

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