Marcel Hallgarten

20 papers A* 1A 3C 1Misc 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework.
IROS
Yu Yao, Salil Bhatnagar, Markus Mazzola, Vasileios Belagiannis, Igor Gilitschenski, Luigi Palmieri, Simon Razniewski, Marcel Hallgarten
2025 J jnl
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework.
CoRR
Yu Yao, Salil Bhatnagar, Markus Mazzola, Vasileios Belagiannis, Igor Gilitschenski, Luigi Palmieri, Simon Razniewski, Marcel Hallgarten
2025 J jnl
Driving is a Game: Combining Planning and Prediction with Bayesian Iterative Best Response.
CoRR
Aron Distelzweig, Yiwei Wang, Faris Janjos, Marcel Hallgarten, Mihai Dobre, Alexander Langmann, Joschka Boedecker, Johannes Betz
2025 A conf
Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback.
IROS
Steffen Hagedorn, Aron Distelzweig, Marcel Hallgarten, Alexandru Paul Condurache
2025 J jnl
Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback.
CoRR
Steffen Hagedorn, Aron Distelzweig, Marcel Hallgarten, Alexandru Condurache
2025 J jnl
Pseudo-Simulation for Autonomous Driving.
CoRR
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
2025 J jnl
The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review.
IEEE Trans. Intell. Veh.
Steffen Hagedorn, Marcel Hallgarten, Martin Stoll, Alexandru Paul Condurache
2024 A conf
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
IROS
Marcel Hallgarten, Julián Zapata, Martin Stoll, Katrin Renz, Andreas Zell
2024 J jnl
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
CoRR
Marcel Hallgarten, Julián Zapata, Martin Stoll, Katrin Renz, Andreas Zell
2024 — conf
Conditional Unscented Autoencoders for Trajectory Prediction.
ECCV Workshops (7)
Faris Janjos, Marcel Hallgarten, Anthony Knittel, Maxim Dolgov, Andreas Zell, J. Marius Zöllner
2024 A* conf
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking.
NeurIPS
Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
2024 J jnl
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking.
CoRR
Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
2024 C conf
Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction.
IV
Marcel Hallgarten, Ismail Kisa, Martin Stoll, Andreas Zell
2023 J jnl
Conditional Unscented Autoencoders for Trajectory Prediction.
CoRR
Faris Janjos, Marcel Hallgarten, Anthony Knittel, Maxim Dolgov, Andreas Zell, J. Marius Zöllner
2023 — conf
From Prediction to Planning With Goal Conditioned Lane Graph Traversals.
ITSC
Marcel Hallgarten, Martin Stoll, Andreas Zell
2023 J jnl
From Prediction to Planning With Goal Conditioned Lane Graph Traversals.
CoRR
Marcel Hallgarten, Martin Stoll, Andreas Zell
2023 Misc conf
Parting with Misconceptions about Learning-based Vehicle Motion Planning.
CoRL
Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta
2023 J jnl
Parting with Misconceptions about Learning-based Vehicle Motion Planning.
CoRR
Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta
2023 J jnl
Rethinking Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review.
CoRR
Steffen Hagedorn, Marcel Hallgarten, Martin Stoll, Alexandru Condurache
2023 J jnl
Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction.
CoRR
Marcel Hallgarten, Ismail Kisa, Martin Stoll, Andreas Zell