Case Study
Thursday, June 19
06:30 PM - 07:00 PM
Live in Berlin
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Exploring the challenges of Level-3 automation, this presentation delves into the critical transition time from autonomous mode to driver engagement. The focus extends beyond mere technological aspects to encompass the intricate interplay of road situations, environmental conditions, and the human factor. Calculating the “time budget” involves evaluating factors such as vehicle density, road curves, weather conditions, and the driver’s state of alertness.
Learn more about the multifaceted dimensions of Level-3 autonomy, shedding light on the complexities that drive the future of autonomous driving:
Dr. Asaf Degani is a Technical Fellow at General Motors R&D. His research focus is on the analysis and design of human-machine interaction with special emphasis on automated and autonomous road vehicles and aircrafts. He supports several major projects at GM concerning automated road vehicles and leads research work on the implications of this technology concerning public space, public acceptance, and robot ethics.