SCOUT+: Towards Practical Task-Driven Drivers' Gaze Prediction

arXiv:2404.08756v1 Announce Type: new
Abstract: Accurate prediction of drivers' gaze is an important component of vision-based driver monitoring and assistive systems. Of particular interest are safety-critical episodes, such as performing maneuvers or crossing intersections. In such scenarios, drivers' gaze distribution changes significantly and becomes difficult to predict, especially if the task and context information is represented implicitly, as is common in many state-of-the-art models. However, explicit modeling of top-down factors affecting drivers' attention often requires additional information and annotations that …

abstract arxiv context cs.cv distribution driver drivers episodes monitoring practical prediction safety safety-critical systems type vision