Key Perception Technologies for Intelligent Docking in Autonomous Modular Buses
Autonomous modular buses (AMBs) constitute a novel form of public transportation, enabling real-time adjustments of module configurations and facilitating passenger exchanges in transit. This approach resolves unpleasant transfer experiences and offers a potential solution to traffic congestion. How...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/atr/3150069 |
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| _version_ | 1849728155644854272 |
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| author | Ye Xiao Yuxuan Zheng Xin Liu Yifen Ye |
| author_facet | Ye Xiao Yuxuan Zheng Xin Liu Yifen Ye |
| author_sort | Ye Xiao |
| collection | DOAJ |
| description | Autonomous modular buses (AMBs) constitute a novel form of public transportation, enabling real-time adjustments of module configurations and facilitating passenger exchanges in transit. This approach resolves unpleasant transfer experiences and offers a potential solution to traffic congestion. However, while most existing research concentrates on logistical operations, the technical implementation of AMBs remains underexplored. This paper fills this gap by proposing key perception technologies for the docking process of AMBs, which presents a suite of sensors and segments the docking process into four stages. A late fusion-based perception network, featuring event-driven and periodic modules, is introduced to optimize perception by integrating multisource data. Plus, we suggest a “mutual view and coview” strategy to enhance perception accuracy in the unique scenario of docking. Experimental results demonstrate that our method achieves a substantial reduction of errors in x and y axes, as well as the heading angle compared with other state-of-the-art perception methods. Our research lays the groundwork for advancements in the precise docking of AMBs, offering promising tactics for other intelligent vehicle applications. |
| format | Article |
| id | doaj-art-30905398f708407d825c7c8a8f76abb3 |
| institution | DOAJ |
| issn | 2042-3195 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-30905398f708407d825c7c8a8f76abb32025-08-20T03:09:38ZengWileyJournal of Advanced Transportation2042-31952025-01-01202510.1155/atr/3150069Key Perception Technologies for Intelligent Docking in Autonomous Modular BusesYe Xiao0Yuxuan Zheng1Xin Liu2Yifen Ye3Technological CenterSchool of Computer Science and TechnologyChina Jiangxi Radio and TV StationCRRC Technology Innovation Beijing Co., Ltd.Autonomous modular buses (AMBs) constitute a novel form of public transportation, enabling real-time adjustments of module configurations and facilitating passenger exchanges in transit. This approach resolves unpleasant transfer experiences and offers a potential solution to traffic congestion. However, while most existing research concentrates on logistical operations, the technical implementation of AMBs remains underexplored. This paper fills this gap by proposing key perception technologies for the docking process of AMBs, which presents a suite of sensors and segments the docking process into four stages. A late fusion-based perception network, featuring event-driven and periodic modules, is introduced to optimize perception by integrating multisource data. Plus, we suggest a “mutual view and coview” strategy to enhance perception accuracy in the unique scenario of docking. Experimental results demonstrate that our method achieves a substantial reduction of errors in x and y axes, as well as the heading angle compared with other state-of-the-art perception methods. Our research lays the groundwork for advancements in the precise docking of AMBs, offering promising tactics for other intelligent vehicle applications.http://dx.doi.org/10.1155/atr/3150069 |
| spellingShingle | Ye Xiao Yuxuan Zheng Xin Liu Yifen Ye Key Perception Technologies for Intelligent Docking in Autonomous Modular Buses Journal of Advanced Transportation |
| title | Key Perception Technologies for Intelligent Docking in Autonomous Modular Buses |
| title_full | Key Perception Technologies for Intelligent Docking in Autonomous Modular Buses |
| title_fullStr | Key Perception Technologies for Intelligent Docking in Autonomous Modular Buses |
| title_full_unstemmed | Key Perception Technologies for Intelligent Docking in Autonomous Modular Buses |
| title_short | Key Perception Technologies for Intelligent Docking in Autonomous Modular Buses |
| title_sort | key perception technologies for intelligent docking in autonomous modular buses |
| url | http://dx.doi.org/10.1155/atr/3150069 |
| work_keys_str_mv | AT yexiao keyperceptiontechnologiesforintelligentdockinginautonomousmodularbuses AT yuxuanzheng keyperceptiontechnologiesforintelligentdockinginautonomousmodularbuses AT xinliu keyperceptiontechnologiesforintelligentdockinginautonomousmodularbuses AT yifenye keyperceptiontechnologiesforintelligentdockinginautonomousmodularbuses |