Perception and Response in Autonomous Vehicles

This chapter explores the intricacies of perception response time in autonomous vehicles, highlighting the interaction between human operators and machine learning systems. It discusses the implications of delayed responses in remote supervision, illustrated by a real incident involving a Waymo vehicle, and questions the accountability of drivers in hybrid scenarios. Additionally, the chapter contrasts the approaches of Tesla and Waymo in autonomous driving, focusing on safety, response times, and the challenges of remote monitoring.