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U.S. Department of Transportation U.S. Department of Transportation Icon United States Department of Transportation United States Department of Transportation
OFFICE OF RESEARCH, DEVELOPMENT, AND TECHNOLOGY AT THE TURNER-FAIRBANK HIGHWAY RESEARCH CENTER

Deep InSight: Deep Extraction of Driver State from Naturalistic Driving Dataset

Project Information

Project ID:
FHWA-PROJ-19-0010
Project Abstract:

Computer vision algorithms have been improved significantly to provide accurate detection, tracking, and recognition of objects. Available public datasets are crucial for extracting key features thanks to ever-developing machine learning and deep learning algorithms in general. Since cameras are becoming vastly available to be employed on vehicles to extract useful information for both autonomous driving and intelligent driver assistance, the researchers are developing intelligent driver state estimation algorithms based on state-of-the-art detection and recognition using computer vision. One of the main drawbacks for naturalistic driving data is having low-resolution and noisy video data that limits the overall accuracy when tested with the models trained on clear images. The researchers will use a comprehensive AI platform for data management, modeling, and enhanced annotations; video quality enhancement using deep models; face detection at acute angles; and recurring network-based driver state estimation. 

Project Status:
Active
Project Funding Amount (Contract Award Amount):
$1,005,125.00
Start Date:
End Date:
Public Access Plan:
No
FHWA Program Area:
  • Exploratory Advanced Research
FHWA AMRP Program:
  • Exploratory Advanced Research

Contact Information

First Name:
Ana Maria
Last Name:
Eigen
Phone Number:
(202) 493-3168
Email Address:
Team:
Safety Data and Analysis Team
Office:
Office of Safety and Operations Research and Development
Office Code:
HRSO-20

Management Organizations

Sponsor Organization

Organization Role:
Sponsor Organization
Organization:
Federal Highway Administration: Office of Research, Development and Technology - Office of Safety and Operations Research and Development