Marcel Hallgarten

According to our database, Marcel Hallgarten authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework.

Yu Yao, Salil Bhatnagar, Markus Mazzola, Vasileios Belagiannis, Igor Gilitschenski, Luigi Palmieri, Simon Razniewski, Marcel Hallgarten

CoRR, July, 2025

Pseudo-Simulation for Autonomous Driving.

Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta

CoRR, June, 2025

Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback.

Steffen Hagedorn, Aron Distelzweig, Marcel Hallgarten, Alexandru Condurache

CoRR, April, 2025

2024

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking.

Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction.

Marcel Hallgarten, Ismail Kisa, Martin Stoll, Andreas Zell

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?

Marcel Hallgarten, Julián Zapata, Martin Stoll, Katrin Renz, Andreas Zell

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Conditional Unscented Autoencoders for Trajectory Prediction.

Faris Janjos, Marcel Hallgarten, Anthony Knittel, Maxim Dolgov, Andreas Zell, J. Marius Zöllner

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Rethinking Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review.

Steffen Hagedorn, Marcel Hallgarten, Martin Stoll, Alexandru Condurache

CoRR, 2023

From Prediction to Planning With Goal Conditioned Lane Graph Traversals.

Marcel Hallgarten, Martin Stoll, Andreas Zell

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Parting with Misconceptions about Learning-based Vehicle Motion Planning.

Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta

Proceedings of the Conference on Robot Learning, 2023