Computer Aided Design for Safe Autonomous Vehicles

This project focuses on establishing a systematic set of testing benchmarks to ensure the safety of an autonomous vehicle given its perception, planning and control systems. We will design an autonomous vehicle computer-aided design (CAD) toolchain, which captures formal descriptions of driving scenarios in order to develop a safety case for an autonomous vehicle (AV). Rather than focus on a particular component of the AV, like adaptive cruise control, the toolchain models the end-to-end dynamics of the AV in a formal way suitable for testing and verification.

• Record URL:
  https://ppms.cit.cmu.edu/projects/detail/95

Language

• English

Project

• Status: Active
• Funding: $363197
• Contract Numbers:

  69A3551747111

• Sponsor Organizations:

  National University Transportation Center for Improving Mobility (Mobility21)

  Carnegie Mellon University
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Center Program
  ,    
• Managing Organizations:

  National University Transportation Center for Improving Mobility (Mobility21)

  Carnegie Mellon University
  Pittsburgh, PA  United States  15213
• Project Managers:

  Kline, Robin

• Performing Organizations:

  University of Pennsylvania

  ,    
• Principal Investigators:

  Mangharam, Rahul

• Start Date: 20170701
• Expected Completion Date: 20230630
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Benchmarks; Computer aided design; Vehicle design; Vehicle safety; Vehicle tests
• Subject Areas: Design; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01710709
• Record Type: Research project
• Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
• Contract Numbers: 69A3551747111
• Files: UTC, RIP
• Created Date: Jul 11 2019 3:18PM