Author

Yu-Chen Zhang

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Preprint Aug 2026

VOLA: Improving Open-World Driving by VLM-Based Semantic Attribute Prediction

The results show that VLM image tokens provide useful semantic cues for transferring driving attributes to objects outside the training vocabulary, and this model matches strong vision-only segmenters on familiar categories and improves transfer to real open-world anomalies.

Yu-Chen Zhang, Yuan Gao, Sebastian Schmidt et al. · 0 citations

#artificial intelligence Preprint Sep 2026

PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving

Ensuring the safety of autonomous driving is a critical challenge. Scenario-based testing is a systematic process used to validate Autonomous Driving Systems (ADSs), but it remains a fragmented modular pipeline in which scenario generation, retrieval, modification, ADS execution, and results analysis are performed by s...

Yuan Gao, Sebastian Müller, Mattia Piccinini et al. · 0 citations