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The Multimodal Driver Monitoring Database: A Naturalistic Corpus to
  Study Driver Attention

The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention

23 December 2020
Sumit Kumar Jha
Mohamed F. Marzban
Tiancheng Hu
Mohamed Mahmoud
Naofal Al-Dhahir
Naofal Al-Dhahir Carlos Busso
ArXivPDFHTML

Papers citing "The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention"

4 / 4 papers shown
Title
Towards Next Generation of Pedestrian and Connected Vehicle In-the-loop
  Research: A Digital Twin Co-Simulation Framework
Towards Next Generation of Pedestrian and Connected Vehicle In-the-loop Research: A Digital Twin Co-Simulation Framework
Zijin Wang
Ou Zheng
Liangding Li
Mohamed Abdel-Aty
C. Cruz-Neira
Zubayer Islam
26
32
0
08 Dec 2022
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset
Yuan Shen
Niviru Wijayaratne
Pranav Sriram
Aamir Hasan
Peter Du
Katherine Driggs-Campbell
19
11
0
19 Nov 2021
Automatic Gaze Analysis: A Survey of Deep Learning based Approaches
Automatic Gaze Analysis: A Survey of Deep Learning based Approaches
Shreya Ghosh
Abhinav Dhall
Munawar Hayat
Jarrod Knibbe
Q. Ji
CVBM
23
57
0
12 Aug 2021
Estimation of Driver's Gaze Region from Head Position and Orientation
  using Probabilistic Confidence Regions
Estimation of Driver's Gaze Region from Head Position and Orientation using Probabilistic Confidence Regions
S. Jha
Carlos Busso
8
30
0
23 Dec 2020
1