Balancing Safety, Cyber-Security, and Mobility: Quantifying the Impact of Sensor Redundancy in Connected and Automated Vehicles

Center for Connected and Automated Transportation/Research/Research from the University of Michigan/Balancing Safety, Cyber-Security, and Mobility: Quantifying the Impact of Sensor Redundancy in Connected and Automated Vehicles

Balancing Safety, Cyber-Security, and Mobility: Quantifying the Impact of Sensor Redundancy in Connected and Automated Vehicles

In Progress
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Neda Masoud
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Principal Investigator(s):

Neda Masoud, Associate Professor of Civil and Environmental Engineering – University of Michigan

Project Abstract:
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.

Institution(s): University of Michigan – Ann Arbor

Award Year: 2024

Research Focus: Safety, Cybersecurity

Project Form(s):

Project Information Form
Data Management Plan