Multi-Modal Emergency Obstacle Avoidance Planning and Tracking Control for Four-Wheel Steering Vehicles

  • Bin Xu
  • , Xiaolong Li
  • , Tao Xu
  • , Shouxing Tang*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

To enhance active safety in four-wheel steering (4WS) vehicles during emergency obstacle avoidance, a planning and tracking control method incorporating multi-modal motion features was proposed. A motion primitive library was constructed by integrating the kinematic characteristics of both oblique moving and conventional 4WS modes. An improved Hybrid A* algorithm was employed to perform multi-modal composite search within the state space. A multi-objective cost function was used to generate the optimal avoidance path. A model predictive tracking controller was designed based on a vehicle dynamics model. Smooth modal transitions were ensured via constrained optimization. Co-simulations with CarSim and Matlab/Simulink showed that, the proposed multi-modal method reduces required avoidance space and time, suppresses sideslip angle, and improves both the safety and stability of the vehicle under varying road adhesion conditions.

Translated title of the contribution四轮转向车辆多模态紧急避障规划与跟踪控制
Original languageEnglish
Pages (from-to)73-81
Number of pages9
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume46
Issue number1
DOIs
Publication statusPublished - 2026
Externally publishedYes

Keywords

  • four-wheel steering vehicle
  • improved Hybrid A*
  • multi-modal emergency obstacle avoidance planning
  • oblique moving
  • tracking control

Fingerprint

Dive into the research topics of 'Multi-Modal Emergency Obstacle Avoidance Planning and Tracking Control for Four-Wheel Steering Vehicles'. Together they form a unique fingerprint.

Cite this