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Timo Osterburg

2 accepted papers

2023

Energy-based Potential Games for Joint Motion Forecasting and Control

CoRL 2023poster

This work uses game theory as a mathematical framework to address interaction modeling in multi-agent motion forecasting and control. Despite its interpretability, applying game theory to real-world robotics, like automated driving, faces challenges such as unknown game parameters. To tackle these,…

Cited by 8SourcecodeScholar
2022

Recognition Beyond Perception: Environmental Model Completion by Reasoning for Occluded Vehicles

RA-L 2022

It is widely assumed that considering vehicle interactions for trajectory prediction can significantly improve accuracy. All environmental sensors of an automated vehicle (AV) suffer from occlusion. Therefore, relevant vehicles can be occluded by others, especially in dense traffic situations, and r

Cited by 5SourceScholar