3 citations · 5 across the 4 of their papers we have counts for
4 papers
Fail2Drive: Benchmarking Closed-Loop Driving Generalization
Simon Gerstenecker, Andreas Geiger, Katrin Renz
Generalization under distribution shift remains a central bottleneck for closed-loop autonomous driving. Although simulators like CARLA enable safe and scalable testing, existing b…
SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
Katrin Renz, Long Chen, Elahe Arani +1
Integrating large language models (LLMs) into autonomous driving has attracted significant attention with the hope of improving generalization and explainability. However, existing…
CarLLaVA: Vision language models for camera-only closed-loop driving
Katrin Renz, Long Chen, Ana-Maria Marcu +6
In this technical report, we present CarLLaVA, a Vision Language Model (VLM) for autonomous driving, developed for the CARLA Autonomous Driving Challenge 2.0. CarLLaVA uses the vis…
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
Marcel Hallgarten, Julian Zapata, Martin Stoll +2
Real-world autonomous driving systems must make safe decisions in the face of rare and diverse traffic scenarios. Current state-of-the-art planners are mostly evaluated on real-wor…