Samia Ahiad

TrustVehicle – Improved Trustworthiness and Weather-Independence of Conditionally Automated Vehicles in Mixed Traffic Scenarios

The introduction of automated vehicles to the market raises various questions and problems. One of those problems is the trustworthiness of the automated systems and in this connection the user’s perception and acceptance. The user’s perception is especially important during SAE level 3 automated driving (L3AD), where the driver has to be able to resume vehicle control, and during the initial deployment of automated systems, where mixed traffic situations occur, in which automated and human-driven vehicles share the same road space. The Horizon 2020 project TrustVehicle aims at investigating critical scenarios, especially in mixed traffic situations and under harsh weather conditions, and at improving the trustworthiness and availability of L3AD functionalities through a user-centric approach.