Dr. Aimé Tiadi is a Human Factors Discipline Leader at VALEO and Human Factors Expert, focusing on Driver Monitoring Systems (DMS) for detecting driver drowsiness and occupant distraction and unresponsive driving. His work included, leading Human Factor Activities, defining detection algorithms, contributing to automotive RFQs, conducting expert annotations, and correlating algorithm performance with user experience. In addition, he works on occupant monitoring systems. Previously, Aimé was a Consultant - Expert in Human Factors at VALEO, specializing in designing embedded sensors for detecting driver distraction and drowsiness and concurrently, he is a substitute teacher at MyDigitalSchool. He holds a PhD in Cognitive Neuro-science from Université Paris-Saclay.
Case Study
Monday, June 16
02:30 pm - 02:55 pm
Live in Berlin
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The capability of the driver to use both focal and peripheral visions during driving allows him to scan visually the driving environment. The visual scanning path refers to the driver’s visual allocations in Areas of Interest (AOIs). In the context of the driver visual distraction assessment, the difficulty is the definition of a precise visual scanning related to taking information about the driving environment to avoid hazard and gazes directed towards the performance of secondary tasks. The study explored the Driver’s Visual Scanning to describe the driver’s visual scanning path and evaluate the possible impact on the reduction of False Alarms.
A total of 1.048.575 visual scanning data for over 80 subjects were used from a real road driving study without or with secondary tasks. The analysis of drivers’ yaw and pitch gazes in different AOIs showed that the visual scanning proportions are significantly different. These results of analysis provide important insights in the driver distraction assessment strategy.
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2 | Visual Scanning Café
Tuesday, June 17
11:10 am - 03:10 pm
Live in Berlin
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