Local path planning in a complex environment for self-driving car

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TitreLocal path planning in a complex environment for self-driving car
Type de publicationConference Paper
Year of Publication2014
AuteursLee U, Yoon S, Shim HC, Vasseur P, Demonceaux C
Conference Name2014 IEEE 4TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER)
PublisherIEEE
Conference Location345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN Number978-1-4799-3669-4
Mots-clésAutonomous Vehicle, Obstacle avoidance, path planning, Self-Driving, Voronoi Cell
Résumé

This paper introduces an local path planning algorithm for the self-driving car in a complex environment. The proposed algorithm is composed of three parts: the novel path representation, the collision detection and the path modification using a voronoi cell. The novel path representation provides convenience for checking the collision and modifying the path and continuous control input for steering wheel rather than way point navigation. The proposed algorithm were applied to the self-driving car, EureCar(KAIST) and its applicability and feasibility of real time use were validated.