@inproceedings{962b01c1843544c59d71d40bb62d94f8,
title = "Fuzzy Model Predictive Control for Collision Avoidance Control of Autonomous Vehicles",
abstract = "Driving safety is essential in collision avoidance control of autonomous vehicles. Considering the nonlinear vehicle dynamic model and the road obstacles, it is challenging to avoid collisions and maintain vehicle motion in the presence of road obstacles. This paper proposes an improved fuzzy model predictive control algorithm for autonomous vehicles to avoid possible collisions. The nonlinear vehicle systems are expressed as weighted sum of linear affine models via the Takagi-Sugeno fuzzy approach, which reduces the computational cost and maintain control accuracy for guaranteeing the collision avoidance performances. Simulation results show the proposed algorithm can successfully avoid multiple obstacles with low computational complexity.",
keywords = "Autonomous vehicles, collision avoidance, fuzzy MPC",
author = "Shaowen Hao and Yimin Chen and Jian Gao and Hunhui He and Yazhou Wang",
note = "Publisher Copyright: {\textcopyright} 2025 The Authors.; 9th International Conference on Intelligent Transportation Engineering, ICITE 2024 ; Conference date: 18-10-2024 Through 20-10-2024",
year = "2025",
month = jul,
day = "17",
doi = "10.3233/ATDE250427",
language = "英语",
series = "Advances in Transdisciplinary Engineering",
publisher = "IOS Press BV",
pages = "267--277",
editor = "Guoqiang Mao",
booktitle = "Intelligent Transportation Engineering - Proceedings of the 9th International Conference, ICITE 2024",
}