Double Arc Path Tracking Control of Driverless Vehicle Based on Time Delay Dynamic Prediction

Author(s):  
Yiqun Zou ◽  
Lu Li ◽  
Xiafei Tang ◽  
Jingtian Ye ◽  
Lingli Yu
2020 ◽  
Vol 14 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Jiaxing Yu ◽  
Xuexun Guo ◽  
Xiaofei Pei ◽  
Zhenfu Chen ◽  
Wei Zhou ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Yiding Hua ◽  
Haobin Jiang ◽  
Yingfeng Cai ◽  
Xupei Zhang ◽  
Shidian Ma ◽  
...  

This paper establishes the kinematic model of the automatic parking system and analyzes the kinematic constraints of the vehicle. Furthermore, it solves the problem where the traditional automatic parking system model fails to take into account the time delay. Firstly, based on simulating calculation, the influence of time delay on the dynamic trajectory of a vehicle in the automatic parking system is analyzed under the transverse distance Dlateral between different target spaces. Secondly, on the basis of cloud model, this paper utilizes the tracking control of an intelligent path closer to human intelligent behavior to further study the Cloud Generator-based parking path tracking control method and construct a vehicle path tracking control model. Moreover, tracking and steering control effects of the model are verified through simulation analysis. Finally, the effectiveness and timeliness of automatic parking controller in the aspect of path tracking are tested through a real vehicle experiment.


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