Balancing Safety, Cyber-Security, and Mobility: Quantifying the Impact of Sensor Redundancy in Connected and Automated Vehicles
This project aims to investigate the impact of sensor redundancy on enhancing perception fidelity, fault tolerance, and threat detection and identification performance within electric autonomous vehicles. It will analyze these advantages alongside the potential drawbacks such as increased vehicle production costs and energy demands associated with redundant sensors, utilizing a thorough analytical framework. Additionally, the study will explore the feasibility of offloading redundant sensor functionalities to RSUs, thereby optimizing resource utilization. The research will involve comprehensive data collection and model validation at Mcity.
Language
- English
Project
- Status: Active
- Funding: $304738
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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
Department of Civil and Environmental Engineering
2350 Hayward
Ann Arbor, MI United States 48109-2125 -
Principal Investigators:
Masoud, Neda
- Start Date: 20240701
- Expected Completion Date: 20260701
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Computer security; Connected vehicles; Electric vehicles; Mobility; Redundancy; Sensors
- Subject Areas: Data and Information Technology; Highways; Security and Emergencies; Vehicles and Equipment;
Filing Info
- Accession Number: 01929523
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3552348305
- Files: UTC, RIP
- Created Date: Sep 4 2024 5:25PM