Exploring the Use of XR Interfaces for Driver Assistance in Take Over Request

With semi-automated vehicles, drivers are still required to be ready to intervene upon a takeover request (TOR) and face the difficulty of achieving their optimal performance level directly after a passive phase. In this work, we examine the effects of using Extended Reality (XR) interface to assist drivers for taking over and in the first seconds of controlling the vehicle. We focus on developing a lane detection algorithm to keep the vehicles follow the ego lanes. We present a prototype of an Augmented Reality (AR) and Mixed Reality (MR) assistance system realized on a simulated environment. In a user study, we compare mixed reality with augmented reality display and present results on response time to take over request and found AR is significantly better than MR interfaces.