2 papers
cs.LG2025
How Much Is Too Much? Adaptive, Context-Aware Risk Detection in Naturalistic Driving
Amir Hossein Kalantari, Eleonora Papadimitriou, Arkady Zgonnikov +1
Reliable risk identification based on driver behavior data underpins real-time safety feedback, fleet risk management, and evaluation of driver-assist systems. While naturalistic d…
cs.RO2024
Understanding cyclists' perception of driverless vehicles through eye-tracking and interviews
Siri Hegna Berge, Joost de Winter, Dimitra Dodou +6
As automated vehicles (AVs) become increasingly popular, the question arises as to how cyclists will interact with such vehicles. This study investigated (1) whether cyclists spont…