Vehicle positioning systems in tunnel environments: a review
Abstract Real-time, accurate, and robust positioning system plays a crucial role in many vehicular applications for automatic driving system and Vehicular Ad-hoc Network (VANET). In the tunnel, the positioning accuracy of Global Navigation Satellite System (GNSS) decreases due to blocked satellite s...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2025-01-01
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| Series: | Complex & Intelligent Systems |
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| Online Access: | https://doi.org/10.1007/s40747-024-01744-1 |
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| _version_ | 1823861491223232512 |
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| author | Suying Jiang Qiufeng Xu Wei Wang Peng Peng Jiachun Li |
| author_facet | Suying Jiang Qiufeng Xu Wei Wang Peng Peng Jiachun Li |
| author_sort | Suying Jiang |
| collection | DOAJ |
| description | Abstract Real-time, accurate, and robust positioning system plays a crucial role in many vehicular applications for automatic driving system and Vehicular Ad-hoc Network (VANET). In the tunnel, the positioning accuracy of Global Navigation Satellite System (GNSS) decreases due to blocked satellite signals. In order to estimate the exact location of vehicles in tunnel environments, many positioning systems have been presented. However, there is a lack of effort in systematically comparing, organizing and analyzing these existing positioning systems, and identifying the strengths and weaknesses of different technologies and applicable scenarios. Therefore, this paper undertakes a thorough investigation into current vehicle localization technologies and methods for tunnel scenarios. The analysis starts with discussing various application scenarios for vehicle positioning system. Then, various vehicle positioning technologies are investigated, the advantages and drawbacks of each technology are illustrated. Thereafter, we discuss some widely used positioning methods in terms of range-based localization method, range-free localization method, multi-sensor fusion localization method, and cooperative positioning (CP) method. Finally, we discuss some challenges faced in vehicle positioning for tunnel environments, and propose some potential research topics for future research work. |
| format | Article |
| id | doaj-art-abb86b9462d6430b89389ff508bcc875 |
| institution | Kabale University |
| issn | 2199-4536 2198-6053 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Complex & Intelligent Systems |
| spelling | doaj-art-abb86b9462d6430b89389ff508bcc8752025-02-09T13:01:03ZengSpringerComplex & Intelligent Systems2199-45362198-60532025-01-0111213410.1007/s40747-024-01744-1Vehicle positioning systems in tunnel environments: a reviewSuying Jiang0Qiufeng Xu1Wei Wang2Peng Peng3Jiachun Li4School of Electrical and Control Engineering, Shaanxi University of Science and TechnologyTGD Holdings Co., Ltd.School of Information Engineering, Chang’an UniversitySchool of Electrical and Control Engineering, Shaanxi University of Science and TechnologySchool of Highway, Chang’an UniversityAbstract Real-time, accurate, and robust positioning system plays a crucial role in many vehicular applications for automatic driving system and Vehicular Ad-hoc Network (VANET). In the tunnel, the positioning accuracy of Global Navigation Satellite System (GNSS) decreases due to blocked satellite signals. In order to estimate the exact location of vehicles in tunnel environments, many positioning systems have been presented. However, there is a lack of effort in systematically comparing, organizing and analyzing these existing positioning systems, and identifying the strengths and weaknesses of different technologies and applicable scenarios. Therefore, this paper undertakes a thorough investigation into current vehicle localization technologies and methods for tunnel scenarios. The analysis starts with discussing various application scenarios for vehicle positioning system. Then, various vehicle positioning technologies are investigated, the advantages and drawbacks of each technology are illustrated. Thereafter, we discuss some widely used positioning methods in terms of range-based localization method, range-free localization method, multi-sensor fusion localization method, and cooperative positioning (CP) method. Finally, we discuss some challenges faced in vehicle positioning for tunnel environments, and propose some potential research topics for future research work.https://doi.org/10.1007/s40747-024-01744-1Positioning systemPositioning methodsTunnelVehicle positioning technologiesVehicular ad-hoc network |
| spellingShingle | Suying Jiang Qiufeng Xu Wei Wang Peng Peng Jiachun Li Vehicle positioning systems in tunnel environments: a review Complex & Intelligent Systems Positioning system Positioning methods Tunnel Vehicle positioning technologies Vehicular ad-hoc network |
| title | Vehicle positioning systems in tunnel environments: a review |
| title_full | Vehicle positioning systems in tunnel environments: a review |
| title_fullStr | Vehicle positioning systems in tunnel environments: a review |
| title_full_unstemmed | Vehicle positioning systems in tunnel environments: a review |
| title_short | Vehicle positioning systems in tunnel environments: a review |
| title_sort | vehicle positioning systems in tunnel environments a review |
| topic | Positioning system Positioning methods Tunnel Vehicle positioning technologies Vehicular ad-hoc network |
| url | https://doi.org/10.1007/s40747-024-01744-1 |
| work_keys_str_mv | AT suyingjiang vehiclepositioningsystemsintunnelenvironmentsareview AT qiufengxu vehiclepositioningsystemsintunnelenvironmentsareview AT weiwang vehiclepositioningsystemsintunnelenvironmentsareview AT pengpeng vehiclepositioningsystemsintunnelenvironmentsareview AT jiachunli vehiclepositioningsystemsintunnelenvironmentsareview |