Angela Di Fazio
Design and Validation of Autonomous Perception Pipelines: Knowledge Transfer from Micromobility to Macromobility.
Rel. Pangcheng David Cen Cheng, Valeria Proietti Dante. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024
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Abstract
In recent years, research on Advanced Driver Assistance Systems (ADAS) has gained significant momentum, due to the growing need for technologies that enhance safety, comfort and efficiency in transportation. ADAS are designed to support drivers in both Micromobility and Macromobility devices by monitoring the surroundings with sensors, cameras, RADAR and LiDAR. These systems provide real-time data to assist the driver navigate safely by detecting potential hazards, such as pedestrians or other vehicles. Through early warnings or automatic interventions, ADAS help to prevent collisions while also supporting drivers to maintain safe distances, adjust the driving speed to traffic and assist with lane-keeping.
To ensure the effective development of these advanced systems, a scalable and safe testing environment is essential
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