Reusability of the Output of Map-Matching Algorithms Across Space and Time Through Machine Learning-Reference-Cited by-同舟云学术

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Reusability of the Output of Map-Matching Algorithms Across Space and Time Through Machine Learning

Published:2017-11 Issue:11 Volume:18 Page:3017-3026
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Hashemi Mahdi^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/8089454/07876714.pdf?arnumber=7876714

Cited by 19 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. Enhancing GPS Accuracy with Machine Learning: A Comparative Analysis of Algorithms;Traitement du Signal;2024-06-26

2. A Novel Map Matching Method Based on Improved Hidden Markov and Conditional Random Fields Model;International Journal of Digital Earth;2024-03-12

3. Spatial distribution prediction of soil heavy metals based on sparse sampling and multi-source environmental data;Journal of Hazardous Materials;2024-03

4. Research on Map Matching Algorithm of Vehicle Navigation System Based on Remote Sensing Image Processing;2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC);2023-09-25

5. L2MM: Learning to Map Matching with Deep Models for Low-Quality GPS Trajectory Data;ACM Transactions on Knowledge Discovery from Data;2023-02-22

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