Addressing Safety and Security Challenges in ML-based AV Software Stack - Remote Operation Support and Balancing Trade-offs
In this work, the research team proposes a framework that enables safe and secure human remote operation when AV systems require support due to the inherent limitations of ML models used. The team develops an approach that can effectively detect and mitigate potentially malicious remote human operators, and satisfy the real-time requirements of remote operation despite possibly variable network conditions impacting the communication channel between the AV system and the remote operator. The solution will be demonstrated on the Mcity 2.0 testbed as a means to validate the proposed design in realistic settings.
Language
- English
Project
- Status: Active
- Funding: $280000
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Contract Numbers:
69A3552348305
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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:
University of Michigan Transportation Research Institute
2901 Baxter Road
Ann Arbor, Michigan United States 48109 -
Project Managers:
Stearns, Amy
Bezzina, Debra
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Performing Organizations:
University of Michigan, Ann Arbor Electrical Engineering and Comuter Science
1301 Beal Avenue
Ann Arbor, MI United States 48109Purdue University, West Lafayette
School of Civil Engineering
West Lafayette, IN United States 47907-1284 -
Principal Investigators:
Mao, Morley
Feng, Yiheng
- Start Date: 20240901
- Expected Completion Date: 20250831
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Computer security; Machine learning; Remote control; Vehicle operations; Vehicle safety
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Security and Emergencies; Vehicles and Equipment;
Filing Info
- Accession Number: 01929521
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3552348305
- Files: UTC, RIP
- Created Date: Sep 4 2024 5:18PM