3 papers
cs.AI2026
CARE Drive A Framework for Evaluating Reason-Responsiveness of Vision Language Models in Automated Driving
Lucas Elbert Suryana, Farah Bierenga, Sanne van Buuren +6
Foundation models, including vision language models, are increasingly used in automated driving to interpret scenes, recommend actions, and generate natural language explanations.…
cs.HC2025
Towards Human-Centric Evaluation of Interaction-Aware Automated Vehicle Controllers: A Framework and Case Study
Federico Scarì, Olger Siebinga, Arkady Zgonnikov
As automated vehicles (AVs) increasingly integrate into mixed-traffic environments, evaluating their interaction with human-driven vehicles (HDVs) becomes critical. In most researc…
cs.RO2025
Hybrid Human-Machine Perception via Adaptive LiDAR for Advanced Driver Assistance Systems
Federico Scarì, Nitin Jonathan Myers, Chen Quan +1
Accurate environmental perception is critical for advanced driver assistance systems (ADAS). Light detection and ranging (LiDAR) systems play a crucial role in ADAS; they can relia…