Robust Estimation of Connected Automated Vehicles While Performing Cooperative Tasks in Presence of Malicious Agents
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Abstract
This research focuses on the identification and mitigation of malicious vehicles in cooperative tasks between automated connected vehicles. The approach aims to design estimators which employ the number and diversity of sensors that autonomous vehicles are equipped with in order to enrich the knowledge of the surrounding environment of each vehicle in the wireless communication network range. Since an event-triggered communication network is considered to increase the overall performance of the communication channels, the estimators have to be designed to take into account aperiodic and asynchronous measurements.
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Doctoral Symposium
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