@inproceedings{2833bc162bdf44ed963788c31762ab8a,
title = "High-Precision Localization of Mobile Robot Based on Particle Filters Combined with Triangle Matching",
abstract = "Robot location is a fundamental technology in the field of autonomous robotics and has been widely studied. However, high-precision localization of the mobile robot is still a serious challenge. To investigate this point further, this paper proposes a method to improve the autonomous robot localization accuracy, which adjusts the number of particles in the AMCL algorithm by fusing the information of LRL. LRL data is used to improve the localization accuracy of mobile platforms and prevent kidnapped robot problems. The algorithm is conducted and verified in a real robot system. The experiment results show that the proposed method can achieve high-precision locations in real-world scenarios, and verify the effectiveness of the improved localization system.",
keywords = "Autonomous mobile robotics, High-precision localization, Laser reflector landmarks, Triangle match",
author = "Huaidong Zhou and Wanchen Tuo and Wusheng Chou",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 7th International Conference on Cognitive Systems and Information Processing, ICCSIP 2022 ; Conference date: 17-12-2022 Through 18-12-2022",
year = "2023",
doi = "10.1007/978-981-99-0617-8\_47",
language = "英语",
isbn = "9789819906161",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "644--652",
editor = "Fuchun Sun and Angelo Cangelosi and Jianwei Zhang and Yuanlong Yu and Huaping Liu and Bin Fang",
booktitle = "Cognitive Systems and Information Processing - 7th International Conference, ICCSIP 2022, Revised Selected Papers",
address = "德国",
}