Collision avoidance manoeuvre for a vehicle — a practical approach

Author:

Su J-L1,Ordys A W1

Affiliation:

1. Faculty of Engineering, Kingston University London, Roehampton Vale, London, UK

Abstract

This paper presents a practical real-time control approach to generate a suboptimal collision avoidance manoeuvre for vehicles. This manoeuvre tries to divert the vehicle away from an obstacle when the distance to the obstacle is too short for braking. During the course the vehicle follows a suboptimal trajectory which introduces a small lateral movement and a change in the travel direction. The trajectory is obtained analytically with a simplified dynamic model, whose nominal control input is thereafter defined along the trajectory. The actual control inputs for the vehicle are determined from this nominal input based on the bicycle model. Simulation with a verified full-car model shows satisfactory results, in which collision is avoided when the initial distance between the vehicle and obstacle is shorter than the shortest braking distance.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Simulation Analysis of Automatic Emergency Braking System under Constant Steer Conditions;SAE International Journal of Vehicle Dynamics, Stability, and NVH;2022-11-07

2. Minimum Resultant Vehicle Force Optimal State Feedback Control for Obstacle Avoidance;IEEE Transactions on Control Systems Technology;2020-09

3. A probabilistic optimization approach for motion planning of autonomous vehicles;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2017-08-16

4. Simulation research on emergency path planning of an active collision avoidance system combined with longitudinal control for an autonomous vehicle;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2016-08-06

5. Design and hardware-in-loop implementation of collision avoidance algorithms for heavy commercial road vehicles;Vehicle System Dynamics;2016-04-08

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