Monday, July 2, 2012

Velocity occupancy space: autonomous navigation in an uncertain, dynamic environment

Abstract: In order to autonomously navigate in an unknown environment, a robotic vehicle must be able to sense obstacles, determine their velocities, and select a collision-free path that will lead quickly to a goal. However, the perceived location and motion of the obstacles will be uncertain due to the limited accuracy of the robot’s sensors. Thus, it is necessary to develop a system that can avoid moving obstacles using uncertain sensor data. The method proposed here is based on an occupancy grid – which has been used to avoid stationary obstacles in an uncertain environment – in conjunction with velocity obstacles – which allow a robot to avoid well-known moving obstacles. The combination of these techniques leads to Velocity Occupancy Space (VOS): a search space which allows the robot to avoid moving obstacles and navigate efficiently to a goal using uncertain sensor data. The proposed method is validated by numerous simulation trials.

Impact: Collision-avoidance for unmanned ground vehicles, with low-cost sensors, is important if these vehicles are to be used in close-proximity with humans and human-operated vehicles.

Journal: Published online as an accepted paper in the International Journal of Vehicle Autonomous Systems, anticipated print date 07/31/2012.

Submitted by A. Galip Ulsoy, the C D Mote, Jr Distinguished University Professor of Mechanical Engineering and Professor of Mechanical Engineering, College of Engineering.

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