Search Results for author: Eike Rehder

Found 2 papers, 1 papers with code

3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking

1 code implementation ICCV 2023 Shuxiao Ding, Eike Rehder, Lukas Schneider, Marius Cordts, Juergen Gall

Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning.

3D Multi-Object Tracking Autonomous Vehicles +6

Pedestrian Prediction by Planning using Deep Neural Networks

no code implementations19 Jun 2017 Eike Rehder, Florian Wirth, Martin Lauer, Christoph Stiller

Accurate traffic participant prediction is the prerequisite for collision avoidance of autonomous vehicles.

Autonomous Vehicles Collision Avoidance +4

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