DCode: A Comprehensive Automatic Coding System for Driver Behavior Analysis

The goal of this project is to develop a comprehensive automatic coding system: DCode. The code will pay attention to the context of various driving situations by extracting features related to driver behavior as well as to features related to the environment both inside and outside of the vehicle. The overall algorithm will include a multitiered feature-extraction pipeline with a behavior-agnostic core layer and more behavior-specific upper layers that share features with the core layer. The core layer will track all directly observable features, such as head pose, facial features, upper body, and hand positions, as well as pedestrian and vehicle locations. The upper layers will use these features to identify various actions and gestures, as well as monitor the driver’s state based on various machine-learning techniques. This architecture will make it straightforward to add new behavior detectors. The algorithms will be scalable, so they can be run on distributed processor architectures.


  • English


  • Status: Active
  • Funding: $597850
  • Sponsor Organizations:

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Cobb, Lincoln

  • Performing Organizations:

    SRI International

    201 Washington Road
    Princeton, NJ  United States  08540
  • Principal Investigators:

    Tamrakar, Amir

  • Start Date: 20140313
  • Expected Completion Date: 20160312
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01576058
  • Record Type: Research project
  • Source Agency: Department of Transportation
  • Files: RIP, USDOT
  • Created Date: Sep 23 2015 9:19AM