Ibrahim El Borsh
AEB Enhancement by Integrating Radar and V2V Sensors: System Simulation and Control in Critical Scenarios for Road Safety.
Rel. Francesco Paolo Deflorio, Nicola Amati. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2024
Abstract
This thesis explores the integration of sensors in Automated Emergency Braking (AEB) systems to enhance road safety through simulation and control in critical scenarios. It bridges theoretical knowledge with practical application in autonomous vehicle technologies, focusing on the synergy between radar systems and advanced Vehicle-to-Vehicle (V2V) communication. Employing the CARLA simulator, the study replicates real-world traffic conditions to test the responsiveness of AEB systems under various scenarios. It highlights the development of reactive and proactive braking strategies, their interaction with other safety systems, and a methodological approach to testing these technologies. Through comprehensive analysis, the research identifies potential improvements in AEB systems and suggests sensor integration into future vehicle designs.
The structured approach of the thesis covers integrating sensors in AEB systems for vehicles, starting with an emphasis on simulation's critical role in ADAS research
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