@inproceedings{9fa5be7dbfb241c99d789d6041e7203e,
title = "A New Map-matching Algorithm Based on Similarity of the Curved Road Section",
abstract = "The military vehicles usually realize autonomous navigation by the dead reckoning method. To correct the accumulated position error of the vehicles, a map-matching algorithm based on similarity of the curved road section is proposed in this paper. To improve the robustness and accuracy of the map-matching algorithm, the curved section is detected from the vehicle trajectory based on two sliding windows. The feature of the curved section is extracted base on the proposed feature extracted method, which is rotation invariant and can effectively characterize the shape of the curved section. The real-world experiment was conducted to evaluate the performance of the map-matching algorithm. The results show that it can provide reliable position error correction and has important engineering application value.",
keywords = "Curved Road Section, Dead reckoning, Map matching, Military vehicle, Position error correction",
author = "Hongliang Huang and Hai Zhang and Jizhe Xia and Liuyang Jiang",
note = "Publisher Copyright: {\textcopyright} 2021 Technical Committee on Control Theory, Chinese Association of Automation.; 40th Chinese Control Conference, CCC 2021 ; Conference date: 26-07-2021 Through 28-07-2021",
year = "2021",
month = jul,
day = "26",
doi = "10.23919/CCC52363.2021.9550359",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "3600--3604",
editor = "Chen Peng and Jian Sun",
booktitle = "Proceedings of the 40th Chinese Control Conference, CCC 2021",
address = "美国",
}