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Analyzing Rear-End Collision Risk Relevant to Autonomous Vehicles by Using a Humanlike Brake Model
Publisher: American Society of Civil Engineers
Abstract: Rear-end collisions between autonomous vehicles (AVs) and human-driven vehicles (HVs) represent critical scenarios in road networks. Few studies have focused on the scenarios where a HV hits an AV from behind (called a ...
Reliable Autonomous Driving Environment Perception: Uncertainty Quantification of Semantic Segmentation
Publisher: American Society of Civil Engineers
Abstract: Despite the impressive achievements of computer vision technologies such as semantic segmentation, their applications in safety-critical areas, such as autonomous driving, present substantial challenges, particularly in ...