Revolutionary Urban Public Transport

In this use case we will develop a solution for remote control of (semi-) automated vehicles for navigating in urban environments. The solution will allow vehicles to be moved from one location to another even without a driver, but with a remote operator. The operator will receive continuous feedback on vehicle state and environment, allowing him/her to assist the vehicle to navigate through urban traffic. The vehicle will have autonomy provided by current state-of-the-art automated driving solutions taking care of normal driving, and capable of detecting and reacting to arising hazardous situations. We will enhance the capability of the vehicle to understand its surroundings, react to pedestrian and other road user behaviors and make local decisions. The interaction and cooperation of vehicles and human operators in remote operating center will be seamless and enhanced through visualisation and communication of the vehicle understanding and intent in augmented reality camera view and user interfaces with 3D data model of the driving environment. This allows the remote operator to have an understanding of the vehicle’s independent capability to manage safe driving in complex environment including people in different roles. The remote operator provides supervision and additional safety as well as the intelligence to resolve arising exceptional traffic situations. Hand-over of control between operator and vehicle is performed in smart way.