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Path Planning for Collision Avoidance Maneuver

[+] Author Affiliations
Nikolai Moshchuk, Shih-Ken Chen

General Motors Corp., Warren, MI

Chad Zagorski, Amy Chatterjee

General Motors Corp., Milford, MI

Paper No. IMECE2013-63893, pp. V013T14A016; 7 pages
  • ASME 2013 International Mechanical Engineering Congress and Exposition
  • Volume 13: Transportation Systems
  • San Diego, California, USA, November 15–21, 2013
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5642-0
  • Copyright © 2013 by General Motors


This paper summarizes the development of an optimal path planning algorithm for collision avoidance maneuver. The goal of the optimal path is to minimize distance to the target vehicle ahead of the host vehicle subject to vehicle and environment constraints. Such path constrained by allowable lateral (centripetal) acceleration and lateral acceleration rate (jerk). Two algorithms with and without lateral jerk limitation, are presented.

The algorithms were implemented in Simulink and verified in CarSim. The results indicate that the lateral jerk limitation increases time-to-collision threshold and leads to a larger distance to the target required for emergency lane change. Collision avoidance path without lateral jerk limitation minimizes the distance to the target vehicle and is suitable for path tracking control in real-time application; however tracking such a path requires very aggressive control.

Copyright © 2013 by General Motors



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