Cyclists’ Gaze Patterns and Driver Detection when Encountering Manual and Driverless Vehicles: A Field Study
S. H. Berge, J. C. F. de Winter, D. Dodou, N. Reddy, Y. Dong, N. Raju, A. P. Afghari, E. Papadimitriou, H. FarahConference room
- The study explores the gaze patterns of cyclists interacting with a vehicle driven by a ghost driver.
- Cyclists had the task of detecting driver presence or absence during interactions with the vehicle.
- Computer vision methods enabled automatic gaze analysis.
- Gaze analysis revealed focused attention on the driver region during the task, shifting to the front without it.
- Contrary to existing literature, near-perfect results challenge the notion that cyclists struggle to detect drivers.
Wed 23:44 - 00:00
