2 papers
cs.CV2026
UniDrive: A Unified Vision-Language and Grounding Framework for Interpretable Risk Understanding in Autonomous Driving
Xiaowei Gao, Pengxiang Li, Yitai Cheng +4
Recent multimodal large language models (MLLMs) have shown strong potential for autonomous driving scene understanding, yet existing methods still face a fundamental trade-off betw…
cs.HC2026
The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation
Ilya Ilyankou, Stefano Cavazzi, James Haworth
As pedestrian navigation increasingly experiments with Generative AI, and in particular Large Language Models, the nature of routing risks transforming from a verifiable geometric…