2 papers
cs.LG2026
DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification
Yuhang Wang, Lingyao Li, Hao Zhou
Driving style captures stable, driver-specific patterns in how a vehicle is driven. In naturalistic data, however, this signal is hard to isolate because drivers are observed in di…
cs.HC2026
BATON: A Multimodal Benchmark for Bidirectional Automation Transition Observation in Naturalistic Driving
Yuhang Wang, Yiyao Xu, Chaoyun Yang +3
Existing driving automation (DA) systems on production vehicles rely on human drivers to decide when to engage DA while requiring them to remain continuously attentive and ready to…