Giampaolo Calogero Turco
Video Synthetic Data for In-cabin Sensing.
Rel. Guido Albertengo. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2024
Abstract
Vehicles become more connected and autonomous and the occupant experience inside the vehicle becomes even more important. Advanced driver assistance systems (ADAS) are emerging as crucial components moving towards higher level of autonomous driving vehicles, aiming to enhance road safety by continuously assessing and analyzing driver behavior, actions, and overall state while behind the wheel. The types of sensors that could be used for the purpose of monitoring the driver are multiple: cameras, infrared sensors, and eye tracking devices, to detect and monitor a range of driver-related parameters, such as head position, eye gaze, facial expressions, and physiological signals. According to EURONCAP latest implementation of the assessment protocol for safety assist (December 2023) the driver monitoring system (DMS) implementeation from car manufacturers should demonstrate the capabilities of the system in various driving conditions and how it can identify various driver impairments.
• Sensing: The dossier should provide evidence that the DSM system can accurately detect a wide range of drivers, including those with different facial features, hairstyles, and headwear
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