Research on Lateral Path Tracking Control of Driverless Vehicle


  • Lin Chen



Driverless cars, Lateral control, Path tracking.


The unmanned vehicle system has nonlinear, time-varying characteristics and uncertainties. The traditional single control algorithm can not effectively coordinate the autonomous steering control system and can not meet the control requirements under different working conditions. The path tracking control is the core technology of the driverless vehicle, which makes the driverless vehicle travel along the target trajectory through the lateral and longitudinal control of the vehicle. First of all, the research on the joint simulation platform of driverless vehicles under different working conditions is carried out from the aspects of accuracy, real-time, stability and ease of realization of the lateral motion of driverless vehicles; Then, a suitable joint simulation platform for driverless vehicle is built; Finally, the joint simulation platform is used to study the path tracking control of driverless vehicles in order to comprehensively investigate the effect of path tracking control. The results show that the path tracking control system improves the reliable control performance under a wide range of driving conditions.


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Li Yuhao, Zhao Youqun. Path tracking of four-wheel independent steering driverless vehicle based on double-layer control strategy [J]. Journal of Jiangsu University (NATURAL SCIENCE EDITION), 2022, 43 (04): 386-393.

Zhang Weigang, Zhang Peng, Wei Hao, Xiong juezhen. An improved route tracking control algorithm for driverless vehicles based on ltvmpc [J]. Journal of Hunan University (NATURAL SCIENCE EDITION), 2021, 48 (10): 67-73.

Jia Changjian. Design of route tracking control system for driverless new energy vehicles under the vision of Internet of vehicles technology [J]. Industrial heating, 2020,49 (12): 47-49 + 52.

Wu Xiaolong, Xia Fugen, Chen Jing, Xu Jia. Path tracking control of driverless vehicle based on energy optimization [J]. Journal of system simulation, 2022,34 (01): 163-169.

Zhang Xu, Zhou Shiying, Shi Zhengtang, Zhao Jian, Zhu Bing. Path planning and tracking control of driverless vehicle overtaking in curve using sliding mode conditional integration [J]. Control theory and application, 2021,38 (02): 197-205.

Zhang feitie, Feng shansen, Huang Jing. Research on path tracking control of unmanned vehicles [J]. Computer simulation, 2019,36 (06): 175-178 + 407.

Guo Yingshi, Jiang Zhengmin, Bai Yan, Tang Jiejian. Research on anthropomorphism of route tracking control method for driverless vehicles [J]. China Journal of highways, 2018,31 (08): 189-196.




How to Cite

Chen, L. (2023). Research on Lateral Path Tracking Control of Driverless Vehicle. Academic Journal of Science and Technology, 5(3), 72–75.