CLRIC: Collecting Lane-Based Road Information Via Crowdsourcing-Reference-Cited by-同舟云学术

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CLRIC: Collecting Lane-Based Road Information Via Crowdsourcing

Published:2016-09 Issue:9 Volume:17 Page:2552-2562
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Tang Luliang,Yang Xue,Dong Zhen,Li Qingquan

Funder

National Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/7553592/07442564.pdf?arnumber=7442564

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Three-dimensional structure determination of grade-separated road intersections from crowdsourced trajectories;International Journal of Applied Earth Observation and Geoinformation;2023-12

2. Urban Road Lane Number Mining from Low-Frequency Floating Car Data Based on Deep Learning;ISPRS International Journal of Geo-Information;2023-11-18

3. Generating lane-level road networks from high-precision trajectory data with lane-changing behavior analysis;International Journal of Geographical Information Science;2023-11-12

4. Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities;IEEE Transactions on Intelligent Transportation Systems;2023-11

5. A constrained spectral clustering method for lane identification using trajectory data;Transportation Research Part C: Emerging Technologies;2023-10

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