Publications:Towards Real-Time Sensor-Based Path Planning in Highly Dynamic Environments

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Title Towards Real-Time Sensor-Based Path Planning in Highly Dynamic Environments
Author Roland Philippsen and Björn Jensen and Roland Siegwart
Year 2007
PublicationType Book Chapter
Journal
HostPublication Autonomous Navigation in Dynamic Environments
Conference
DOI http://dx.doi.org/10.1007/978-3-540-73422-2_7
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:577000
Abstract This paper presents work on sensor-based motion planning in initially unknown dynamic environments. Motion detection and probabilistic motion modeling are combined with a smooth navigation function to perform on-line path planning and replanning in cluttered dynamic environments such as public exhibitions. The SLIP algorithm, an extension of Iterative Closest Point, combines motion detection from a mobile platform with position estimation. This information is then processed using probabilistic motion prediction to yield a co-occurrence risk that unifies dynamic and static elements. The risk is translated into traversal costs for an E* path planner. It produces smooth paths that trade off collision risk versus detours. © Springer.