Parting with Misconceptions about Learning-based Vehicle Motion Planning. - Daniel Dauner; Marcel Hallgarten; Andreas Geiger 001; Kashyap Chitta (CoRL, 2023)

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic. - Kashyap Chitta; Daniel Dauner; Andreas Geiger 001 (ECCV (4), 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 001; Igor Gilitschenski; Boris Ivanovic; Marco Pavone 001; Andreas Geiger 001; Kashyap Chitta (NeurIPS, 2024)

SLEDGE: Synthesizing Simulation Environments for Driving Agents with Generative Models. - Kashyap Chitta; Daniel Dauner; Andreas Geiger 001 (CoRR, 2024)

CaRL: Learning Scalable Planning Policies with Simple Rewards. - Bernhard Jaeger; Daniel Dauner; Jens Beißwenger; Simon Gerstenecker; Kashyap Chitta; Andreas Geiger 001 (CoRR, 2025)

Pseudo-Simulation for Autonomous Driving. - Wei Cao; Marcel Hallgarten; Tianyu Li; Daniel Dauner; Xunjiang Gu; Caojun Wang; Yakov Miron; Marco Aiello 001; Hongyang Li 001; Igor Gilitschenski; Boris Ivanovic; Marco Pavone 001; et al. (CoRR, 2025)

PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Scenes. - Christina Ourania Tze; Daniel Dauner; Yiyi Liao; Dzmitry Tsishkou; Andreas Geiger 001 (CoRR, 2025)