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Conference Papers Year : 2004

High-Speed Autonomous Navigation with Motion Prediction for Unknown Moving Obstacles

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Abstract

Vehicle navigation in dynamic environments is an important challenge, especially when the motion of the objects populating the environment is unknown. Traditional motion planning approaches are too slow to be applied in realtime to this domain, hence, new techniques are needed. Recently, iterative planning has emerged as a promising approach. Nevertheless, existing iterative methods do not provide a way to estimate the future behaviour of moving obstacles and use the resulting estimates in trajectory computation. This paper presents an iterative planning approach that addresses these two issues. It consists of two complementary methods: 1) a motion prediction method which learns typical behaviours of objects in a given environment. 2) an iterative motion planning technique based on the concept of Velocity Obstacles.
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Dates and versions

inria-00182062 , version 1 (24-10-2007)

Identifiers

  • HAL Id : inria-00182062 , version 1

Cite

Dizan Alejandro Vasquez Govea, Frédéric Large, Thierry Fraichard, Christian Laugier. High-Speed Autonomous Navigation with Motion Prediction for Unknown Moving Obstacles. Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, Oct 2004, Sendai (JP), France. pp.82--87. ⟨inria-00182062⟩
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