@inproceedings{ea1e66394d9e42209a701377519e30ea,
title = "A target recognition algorithm applied to the unmanned ground combat platform in curve driving",
abstract = "This paper describes a target recognition algorithm applied to the unmanned ground combat platform in curve driving. A driving model for unmanned ground combat platform turning in the city intersection is also established. The reliability of certain driving model and the effect of radar measurement accuracy on algorithm are verified by simulation experiments. The traditional unmanned ground combat platform cannot accurately identify the surrounding targets in harsh environments, which can cause collisions and other incidents on the battlefield, and affect its efficiency. This algorithm aims at unmanned ground combat platforms in urban street fighting, and uses high precision radar and preloaded GPS road information to achieve target recognition and positioning successfully. This algorithm solves the problem of target missing and target misrecognition in the adaptive cruise control (ACC) strategy in curve driving, and has the advantages of accurate positioning.",
keywords = "Unmanned ground combat platform, curve driving, target recognition",
author = "Jiarui Li and Lei Han and Zhipeng Dong and Yan Li and Ping Lang and Tao Shang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Unmanned Systems, ICUS 2017 ; Conference date: 27-10-2017 Through 29-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICUS.2017.8278339",
language = "English",
series = "Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "192--196",
editor = "Xin Xu",
booktitle = "Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017",
address = "United States",
}