Sensor Degradation Detection Algorithm for Automated Driving Systems

The project will develop a sensor degradation detection algorithm for Automated Driving Systems (ADS). Sources of degraded sensor information include weather, cyberattacks (e.g., direct communication and passive false signage), and sensor malfunction. Incorrect information from a sensor could result in significant safety issues, such as leading the vehicle off the road or causing the vehicle to suddenly stop in the middle of an intersection. From the Virginia Tech Transportation Institute’s (VTTI’s) Naturalistic Driving Database (NDD), 1000 events related to sensor perception will be selected to establish baseline sensor performance. VTTI will then determine performance metrics using these events extracted from the NDD for comparison in simulation. A virtual framework will be used to test degraded sensor states and the response of the vehicle control systems to develop the detection algorithm. The framework will integrate the sensors models, environments, vehicle model, cyberattacks, and algorithm. Old Dominion University will develop the GPS model, which is a localization sensor, and collaborate with the Global Center for Automotive Performance Simulation (GCAPS) to develop the degradation detection algorithm. GCAPS will also create the virtual framework, develop the LiDAR and radar sensor models, and execute the simulations. The sensor degradation detection algorithm will aid ADS vehicles in decision making by identifying degraded sensor performance. 

Language

  • English

Project

  • Status: Active
  • Funding: $399999
  • Contract Numbers:

    69A3551747115

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Safety through Disruption University Transportation Center (Safe-D)

    Virginia Tech Transportation Institute
    Blacksburg, VA  United States  24060
  • Project Managers:

    Glenn, Eric

  • Performing Organizations:

    Virginia Tech Transportation Institute

    3500 Transportation Research Plaza
    Blacksburg, Virginia  United States  24061
  • Principal Investigators:

    Chaka, Michelle

  • Start Date: 20210401
  • Expected Completion Date: 20211231
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01769146
  • Record Type: Research project
  • Source Agency: Safety through Disruption University Transportation Center (Safe-D)
  • Contract Numbers: 69A3551747115
  • Files: UTC, RIP
  • Created Date: Apr 6 2021 2:12PM