ykotseruba/attention_and_driving

The collection systematically categorizes papers into behavioral studies, seven application domains (scene gaze prediction, in-vehicle gaze detection, distraction/drowsiness detection, action anticipation, driver awareness estimation, and attention mechanisms for autonomous driving), and annotated datasets. Each entry includes direct links to papers, code repositories, and dataset access, with behavioral papers tagged for easy filtering and application papers annotated with their underlying datasets (public or private). The curation criteria explicitly require gaze measurement via eye-tracking or practical application relevance, excluding indirect assessment methods and non-peer-reviewed sources, ensuring focus on empirically grounded driver attention research from top-tier venues since 2010.

132 stars.