A Framework for Automated Driving System Testable Cases and Scenarios

Details

• Creators:
  Thorn, Eric ; Kimmel, Shawn C. ; Chaka, Michelle
• Corporate Creators:
  Virginia Tech Transportation Institute ; Southwest Research Institute ; Booz Allen Hamilton, Inc.
• Corporate Contributors:
  United States. Department of Transportation. National Highway Traffic Safety Administration
• Subject/TRT Terms:
  • Intelligent vehicles
  • Autonomous vehicles
  • Fail safe systems
  • Detectors by object of detection
  • Detection and identification systems
  • Automatic vehicle detection and identification systems
  • Tests
  • Automated vehicle control for ground vehicles
  • Case studies
  • Detection and identification
  More +
• Publication/ Report Number:
  DOT HS 812 623
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  United States. Department of Transportation. National Highway Traffic Safety Administration
• Abstract:
  This report describes a framework for establishing sample preliminary tests for Automated Driving Systems. The focus is on light duty vehicles exhibiting higher levels of automation, where the system is required to perform the full dynamic driving task, including lateral and longitudinal control, as well as object and event detection and response.
• Content Notes:
  Thorn, E., Kimmel, S., and Chaka, M. (2018, September). A Framework for Automated Driving System Testable Cases and Scenarios (Report No. DOT HS 812 623). Washington, DC: National Highway Traffic Safety Administration.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/38824/dot_38824_DS1.pdf
• File Type:
  [PDF - 3.79 MB]
• Collection(s):
  Autonomous Vehicles ; NHTSA - Vehicle Safety Research ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:96edca0b41e45e9af3cb5c7693c794da6caf4f153ecfbab53f57699166b6f4ee24428c2e086e5a587c0f4a0e96e48d1db119278c105e2e5ca18c7d4d402aa567