Search Results for author: Daniel Grimm

Found 2 papers, 0 papers with code

Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions

no code implementations30 Nov 2023 Daniel Grimm, Maximilian Zipfl, Felix Hertlein, Alexander Naumann, Jürgen Lüttin, Steffen Thoma, Stefan Schmid, Lavdim Halilaj, Achim Rettinger, J. Marius Zöllner

Precisely predicting the future trajectories of surrounding traffic participants is a crucial but challenging problem in autonomous driving, due to complex interactions between traffic agents, map context and traffic rules.

Autonomous Driving Relation +1

Holistic Graph-based Motion Prediction

no code implementations31 Jan 2023 Daniel Grimm, Philip Schörner, Moritz Dreßler, J. -Marius Zöllner

Motion prediction for automated vehicles in complex environments is a difficult task that is to be mastered when automated vehicles are to be used in arbitrary situations.

motion prediction

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