Automatic Recognition and Understanding of the Driving Environment for Driver Feedback

A smart driving system must include two key components to be able to generate recommendations and make driving decisions that are effective and accurate: 1) The environment of the car and 2) the behavior of the driver. The project will investigate advanced concepts for both. The long-term goal is to develop techniques for building internal models of the vehicle's static environment (objects, features, terrain) and of the vehicle's dynamic environment (people and vehicle moving in the vehicle's environment) from sensor data, which can operate online and can be used to provide the information necessary to make recommendations, to generate alarms, or to take emergency action. The overall approach is to combine recent progress in machine perception with the rapid advent of onboard sensors, and the availability of external data sources, such as maps.


    • English


    • Status: Active
    • Funding: $211205.00
    • Contract Numbers:


    • Sponsor Organizations:

      Research and Innovative Technology Administration

      University Transportation Centers Program
      1200 New Jersey Avenue
      Washington, DC  United States  20590
    • Project Managers:

      Ehrlichman, Courtney

    • Performing Organizations:

      Technologies for Safe and Efficient Transportation University Transportation Center

      Carnegie Mellon University
      Pittsburgh, PA  United States  15213
    • Principal Investigators:

      Hebert, Martial

    • Start Date: 20120200
    • Expected Completion Date: 0
    • Actual Completion Date: 20131200
    • Source Data: RiP Project 34175

    Subject/Index Terms

    Filing Info

    • Accession Number: 01481191
    • Record Type: Research project
    • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
    • Contract Numbers: DTRT12GUTC11
    • Files: UTC, RiP
    • Created Date: May 11 2013 1:01AM