A Hidden Markov Model-Based Map-Matching Approach for Low-Sampling-Rate GPS Trajectories-Reference-Cited by-同舟云学术

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A Hidden Markov Model-Based Map-Matching Approach for Low-Sampling-Rate GPS Trajectories

Published:2017-11 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2)
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Author:

Hsueh Yu-Ling,Chen Ho-Chian,Huang Wei-Jie

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8312343/8315239/08315392.pdf?arnumber=8315392

Cited by 12 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. From GPS to Maps: Path Reconstruction Techniques for Understanding People Mobility with Low-Sampling-Rate Data;2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA);2023-12-13

2. LHMM: A Learning Enhanced HMM Model for Cellular Trajectory Map Matching;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

3. Lane Level Positioning Method for Unmanned Driving Based on Inertial System and Vector Map Information Fusion Applicable to GNSS Denied Environments;Drones;2023-03-29

4. VIS-MM: a novel map-matching algorithm with semantic fusion from vehicle-borne images;International Journal of Geographical Information Science;2023-02-27

5. An improved hidden Markov model-based map matching algorithm considering candidate point grouping and trajectory connectivity;Cartography and Geographic Information Science;2022-11-17

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