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:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Center Program
  ,    
• Managing Organizations:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  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