Facial Landmarks Let Autonomous Vehicles Read Driver States in Real Time

Researchers at Tecnologico de Monterrey developed and tested an autonomous vehicle system integrating real-time vehicle interface with a camera-based driver state monitoring technology using facial landmarks to detect attention, fatigue, and distraction. The system uses depth cameras and machine learning on calibrated facial features to enable safer interaction between autonomous shuttles and supervising humans.

This Wire brief sits within Fusion42's coverage of Autonomous Vehicles.