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  • Summary & Details

MOTION PREDICTION OF BICYCLISTS IN URBAN ENVIRONMENTS BASED ON LIDAR DATA

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Author(E)1) Adrian M. Sonka, 2) Silvia Thal, 3) Roman Henze
Affiliation(E)1) Technische Universität Braunschweig, 2) Technische Universität Braunschweig, 3) Technische Universität Braunschweig
Abstract(E)Ensuring road safety for bicyclists through an improvement of the foresight of automated vehicles by anticipating critical behavior is a remaining challenge in research and development. A situation adaptive motion planning based on this information can reduce accidents with these vulnerable road users. Our work utilizes machine learning methods for a bicyclist motion prediction, applied to laser scanner data recorded with an own measurement vehicle. Different configurations of multilayer perceptron networks, applied for polynomial coefficient estimation as well as long short-term memory networks are compared and evaluated on a quantitive and qualitative level, surpassing accuracy levels of a physical baseline prediction model.

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