3 papers
cs.RO2026
Data-Driven Risk Fields for Safer End-to-End Autonomous Driving
Yuanxin Tian, Zhiyuan Liu, Jinhao Li +9
Safety is a fundamental requirement for autonomous driving, yet existing end-to-end driving models still lack explicit risk-aware learning capacities. Existing rule-based risk mode…
cs.CV2026
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving
Zhiye Wang, Yanbo Jiang, Rui Zhou +5
Large language models (LLMs) have shown great promise for autonomous driving. However, discretizing numbers into tokens limits precise numerical reasoning, fails to reflect the pos…
cs.AI2026
AIoT-based Continuous, Contextualized, and Explainable Driving Assessment for Older Adults
Yimeng Liu, Fangwei Zhang, Maolin Gan +9
The world is undergoing a major demographic shift as older adults become a rapidly growing share of the population, creating new challenges for driving safety. In car-dependent reg…