A geodesics-based model for obstacle avoidance

Jason C. Olmstead Muhs, Jingzhou Yang

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


This paper presents a path prediction model for obstacle avoidance. A geodesics model is used to obtain the desired path in Cartesian space. The distance between the start target point (and end target point) and the surface of an obstacle is minimized to determine the boundary points of a geodesic across the surface of the obstacle. The model then numerically solves for a geodesic curve between the two boundary points of the geodesic on the surface of the obstacle. The model offsets the resulting discrete points on the geodesic in the positive normal direction (outside of the obstacle) to form a path of motion around the obstacle.

Original languageEnglish
JournalSAE Technical Papers
StatePublished - Jan 1 2005
EventDigital Human Modeling for Design and Engineering Symposium - Iowa City, IA, United States
Duration: Jun 14 2005Jun 16 2005


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