On Resilient Control and Perception for Secure Connected Vehicles
Prof. Pierluigi Pisu
Clemson University
Clemson, South Carolina
DEIB - Seminar Room "N. Schiavoni" (Building 20)
May 15th, 2023
12.00 pm
Contacts:
Sergio Savaresi
Research Line:
Control systems
Clemson University
Clemson, South Carolina
DEIB - Seminar Room "N. Schiavoni" (Building 20)
May 15th, 2023
12.00 pm
Contacts:
Sergio Savaresi
Research Line:
Control systems
Sommario
On May 15th, 2023 at 12.00 pm Pierluigi Pisu, Professor of Automotive Engineering at Clemson University, will give a seminar on "On Resilient Control and Perception for Secure Connected Vehicles" in DEIB Seminar Room.
Advanced connectivity features in today’s smart vehicles are giving rise to several promising intelligent transportation technologies. Connected vehicle system is one of such technologies where a set of vehicles can communicate with each other and the infrastructure via a dedicated communication network. Connected vehicles have the potential to improve the traffic throughput, minimize risk of accidents and reduce vehicle energy consumption. However, despite these promising features, vehicular communication networks endure several challenges from reliability and security perspectives. These challenges can occur due to cyber-attacks with purposes of disrupting the performance or affecting safety of the connected vehicles system. To improve safety and security, advanced vehicular control systems must be designed to be resilient to cyber-attacks. This presentation will provide an overview of the work performed in this area by the research group led by Dr. Pisu. Specifically, we will describe how we focus on control-oriented and machine learning solutions to enhance the cyber security of connected vehicles including the development of testbeds for virtual and vehicle-in-the-loop experimental validation.
Advanced connectivity features in today’s smart vehicles are giving rise to several promising intelligent transportation technologies. Connected vehicle system is one of such technologies where a set of vehicles can communicate with each other and the infrastructure via a dedicated communication network. Connected vehicles have the potential to improve the traffic throughput, minimize risk of accidents and reduce vehicle energy consumption. However, despite these promising features, vehicular communication networks endure several challenges from reliability and security perspectives. These challenges can occur due to cyber-attacks with purposes of disrupting the performance or affecting safety of the connected vehicles system. To improve safety and security, advanced vehicular control systems must be designed to be resilient to cyber-attacks. This presentation will provide an overview of the work performed in this area by the research group led by Dr. Pisu. Specifically, we will describe how we focus on control-oriented and machine learning solutions to enhance the cyber security of connected vehicles including the development of testbeds for virtual and vehicle-in-the-loop experimental validation.