An integrated LSTM-rule-based fusion method for the localization of intelligent vehicles in a complex environment

• Main Authors: Yuan, Quan, Yan, Fuwu, Yin, Zhishuai, Lv, Chen, Hu, Jie, Li, Yue, Wang, Jinhai
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Multi-source fusion; Fuzzy rules
• Online Access: https://hdl.handle.net/10356/181760
• Institution: Nanyang Technological University

To improve the accuracy and robustness of autonomous vehicle localization in a complex environment, this paper proposes a multi-source fusion localization method that integrates GPS, laser SLAM, and an odometer model. Firstly, fuzzy rules are constructed to accurately analyze the in-vehicle localiza...