Project Overview

Autonomous vehicles with various levels of high and full automation are revolutionizing Intelligent Transportation Systems (ITS) in terms of safety, energy consumption, and how humans interact with their cars. However, the driver intervention is required in highly dynamic environments (e.g., too many pedestrians or very busy traffic) or harsh weather conditions in which on board sensory information (from stereo/mono cameras, LiDARs, and radars) are not reliable for the safe decision making, motion planning, and controls in existing automated driving systems. During these safetycritical handover transitions between the human and autonomy, the vehicle knows little about the human’s capability/prediction, and the human is unaware of the vehicle’s handling capacities, thus, could take actions that deteriorate the stability and imperil the safety of passengers and pedestrians.