A driver’s gaze has often been used to estimate driver attentiveness or focus during driving. These works often rely on simple definitions of what it means to “see”, namely, a driver’s gaze falling on an object for a single frame. In this work, we consider a definition of “seen” which requires an object to be gazed upon for a set length of time, or frames, before it can be considered as seen by the driver. This is done by examining consecutive frames to find those where the driver’s gaze remains uninterrupted within a bounding box of a given tracked object over a series of frames. Reliance on multiple frames allows enough time for a driver to process the object gazed upon. We analyze driver gaze on traffic-related objects identified in frames from actual driving sequences. We then consider the impact of different lengths of frame sequences and the size of bounding box overlap across frames on which objects can be taken as “seen” by the driver.

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Analysis of Driver Attention to Objects While Driving

  • Kolby Sarson,
  • Michael Bauer

摘要

A driver’s gaze has often been used to estimate driver attentiveness or focus during driving. These works often rely on simple definitions of what it means to “see”, namely, a driver’s gaze falling on an object for a single frame. In this work, we consider a definition of “seen” which requires an object to be gazed upon for a set length of time, or frames, before it can be considered as seen by the driver. This is done by examining consecutive frames to find those where the driver’s gaze remains uninterrupted within a bounding box of a given tracked object over a series of frames. Reliance on multiple frames allows enough time for a driver to process the object gazed upon. We analyze driver gaze on traffic-related objects identified in frames from actual driving sequences. We then consider the impact of different lengths of frame sequences and the size of bounding box overlap across frames on which objects can be taken as “seen” by the driver.