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City Munich / Behaviour / / Company Cambridge University Press / fortiss GmbH / Intel / / Country Germany / / Facility Iowa State University / Massachusetts Institute of Technology / / IndustryTerm online traffic-knowledge-aware autonomous motion agent / heuristic search benefits / search performance / heuristic search / grid-free heuristic search employing primitive motions / online motion / energy consumption / shorter search time / autonomous driving applications / road network / car park scenario / distance query services / driver assistant systems / prior and online traffic knowledge / search nodes / road networks / real-time applications / grid-based search methods / incremental heuristic search starts / post-processing / incremental heuristic search / heuristic search procedure / heuristic search efficiency / heuristic search nodes / online motion planning engine / search efficiency / car park / / Organization Cambridge University / Department of Computer Science / German Federal Ministry of Economics and Technology / Massachusetts Institute of Technology / Iowa State University / / Person Markus Rickert / S. LaValle / J. Kuffner Jr. / / Position motion planner / driver / SEHS engine planner / baseline SEHS motion planner / assistant / etc / SEHS planner / SEHS motion planner / baseline SEHS planner / planner / assistant / lane change assistant / / ProgrammingLanguage C++ / / ProvinceOrState Massachusetts / / PublishedMedium American Journal of Mathematics / Pacific Journal of Mathematics / The International Journal / / Technology 2.93 GHz processor / RAM / SEHS algorithm / / URL http / SocialTag 
A Traffic Knowledge Aided Vehicle Motion Planning Engine Based on Space Exploration Guided Heuristic Search Chao Chen1 and Markus Rickert1 and Alois Knoll2 Abstract— A real-time vehicle motion planning engine is presen