239 citations · 427 across the 13 of their papers we have counts for
6 papers · 1 filter
Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects
Sandipan Banerjee, Ajjen Joshi, Jay Turcot +2
Distracted drivers are dangerous drivers. Equipping advanced driver assistance systems (ADAS) with the ability to detect driver distraction can help prevent accidents and improve d…
Value of Temporal Dynamics Information in Driving Scene Segmentation
Li Ding, Jack Terwilliger, Rini Sherony +2
Semantic scene segmentation has primarily been addressed by forming representations of single images both with supervised and unsupervised methods. The problem of semantic segmenta…
Semi-Automated Annotation of Discrete States in Large Video Datasets
Lex Fridman, Bryan Reimer
We propose a framework for semi-automated annotation of video frames where the video is of an object that at any point in time can be labeled as being in one of a finite number of…
What Can Be Predicted from Six Seconds of Driver Glances?
Lex Fridman, Heishiro Toyoda, Sean Seaman +5
We consider a large dataset of real-world, on-road driving from a 100-car naturalistic study to explore the predictive power of driver glances and, specifically, to answer the foll…
Owl and Lizard: Patterns of Head Pose and Eye Pose in Driver Gaze Classification
Lex Fridman, Joonbum Lee, Bryan Reimer +1
Accurate, robust, inexpensive gaze tracking in the car can help keep a driver safe by facilitating the more effective study of how to improve (1) vehicle interfaces and (2) the des…
Driver Gaze Region Estimation Without Using Eye Movement
Lex Fridman, Philipp Langhans, Joonbum Lee +1
Automated estimation of the allocation of a driver's visual attention may be a critical component of future Advanced Driver Assistance Systems. In theory, vision-based tracking of…