Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving

Details

• Creators:
  Chen, Haochong ; Cao, Xincheng ; Aksun-Guvenc, Bilin ; Guvenc, Levent
• Corporate Creators:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) ; Ohio State University
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Autonomous vehicles
  • Connected vehicles
  • Pedestrian safety
  • Test procedures
  • Trajectory control
  • Vehicle tests
  • Virtual reality
  • Vulnerable road users
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Contracting Officer:
  Stearns, Amy
• Corporate Publisher:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
• Abstract:
  The current approach to connected and autonomous driving function development and evaluation uses model-in-the-loop (MIL) simulation, hardware-in-the-loop (HIL) simulation and limited proving ground use, followed by public road deployment of the beta version of software and technology. The rest of the road users are involuntarily forced into taking part in the development and evaluation of these beta level connected and autonomous driving functions. This is an unsafe, costly and inefficient method and has resulted in many problems in the deployment of autonomous vehicles with an associated loss of trust. Motivated by these shortcomings, this project focuses on the Vehicle-in-Virtual-Environment (VVE) method of safe, efficient and low-cost connected and autonomous driving function development, evaluation and demonstration. The VVE method places the vehicle inside a highly realistic virtual environment with realistic virtual sensor feeds while the actual vehicle is physically running inside a large and empty test area. This is as if the vehicle is using a virtual reality headset.
• Format:
  PDF
• Funding:
  69A3552344811
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/77506/dot_77506_DS1.pdf
• File Type:
  [PDF - 4.62 MB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers
• Main Document Checksum:
  urn:sha-512:b712124de08071c66303ca923e43839e324eb1f966cbbb5cc7f90a0a2dd31d0444e5a6224179b32552dd558153fc72da528a0d7764cd084a8fb066c4536b63b6