CrowdMagMap 2.0: Crowdsourced Magnetic Mapping for Multi-Floor Underground Parking Lot Navigation
I tiakina i:
| I whakaputaina i: | IEEE Transactions on Intelligent Transportation Systems vol. 26, no. 12 (2025), p. 18708-18721 |
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| Kaituhi matua: | |
| Ētahi atu kaituhi: | , , , , , , , |
| I whakaputaina: |
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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| Ngā marau: | |
| Urunga tuihono: | Citation/Abstract |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3271174736 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1524-9050 | ||
| 022 | |a 1558-0016 | ||
| 024 | 7 | |a 10.1109/TITS.2025.3597273 |2 doi | |
| 035 | |a 3271174736 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 121629 |2 nlm | ||
| 100 | 1 | |a Kuang, Jian |u GNSS Research Center and the Hubei Technology Innovation Center for Spatiotemporal Information and Positioning Navigation, Wuhan University, Wuhan, Hubei, China | |
| 245 | 1 | |a CrowdMagMap 2.0: Crowdsourced Magnetic Mapping for Multi-Floor Underground Parking Lot Navigation | |
| 260 | |b The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Location-based services (LBS) have become an integral part of daily life and work for the general public. However, achieving widespread and accurate positioning in typical indoor environments remains a significant challenge, particularly in multi-floor indoor parking lots where radio frequency signals like WiFi are often unavailable. Indoor magnetic matching presents a viable solution, but it requires reducing mapping costs through the use of crowdsourced data. To tackle this issue, we propose an innovative method for constructing magnetic maps using crowdsourced vehicle data. Our approach introduces a multi-user joint vehicle dead reckoning technique based on graph optimization, which provides consistent directional estimates of crowdsourced vehicle trajectories. Subsequently, we establish associations between different vehicle trajectories using multi-attribute features of the magnetic field. Building on this foundation, we propose a global trajectory optimization with inequality and equality constraints to achieve precise estimation of crowdsourced vehicle trajectories. Testing with simulated data from two three-floor underground parking lots demonstrates that the proposed method, utilizing only on-board smartphone sensor data, achieves plane and elevation errors of less than 2.75 meters (95%) and 0.59 meters (95%), respectively. Additionally, the magnetic matching positioning error based on crowdsourced magnetic sequence maps is less than 2.29 meters (95%). | |
| 653 | |a Mapping | ||
| 653 | |a Dead reckoning | ||
| 653 | |a Location based services | ||
| 653 | |a Matching | ||
| 653 | |a Trajectory optimization | ||
| 653 | |a Maps | ||
| 653 | |a Indoor environments | ||
| 653 | |a Crowdsourcing | ||
| 653 | |a Radio signals | ||
| 653 | |a Parking facilities | ||
| 700 | 1 | |a Wang, Yan |u GNSS Research Center and the Hubei Technology Innovation Center for Spatiotemporal Information and Positioning Navigation, Wuhan University, Wuhan, Hubei, China | |
| 700 | 1 | |a Ding, Longyang |u GNSS Research Center and the Hubei Technology Innovation Center for Spatiotemporal Information and Positioning Navigation, Wuhan University, Wuhan, Hubei, China | |
| 700 | 1 | |a Zhou, Baoding |u State Key Laboratory of Road Engineering in Extreme Environment and Institute of Urban Smart Transportation and Safety Maintenance, Shenzhen University, Shenzhen, Guangdong, China | |
| 700 | 1 | |a Xu, Liping |u Shanghai Transsion Information Technology Ltd., Shanghai, China | |
| 700 | 1 | |a Cao, Li |u Shanghai Transsion Information Technology Ltd., Shanghai, China | |
| 700 | 1 | |a He, Lanqin |u Shanghai Transsion Information Technology Ltd., Shanghai, China | |
| 700 | 1 | |a Wen, Yunhui |u Shanghai Transsion Information Technology Ltd., Shanghai, China | |
| 700 | 1 | |a Niu, Xiaoji |u GNSS Research Center and the Hubei Technology Innovation Center for Spatiotemporal Information and Positioning Navigation, Wuhan University, Wuhan, Hubei, China | |
| 773 | 0 | |t IEEE Transactions on Intelligent Transportation Systems |g vol. 26, no. 12 (2025), p. 18708-18721 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3271174736/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |