Raising Awareness of Driverless Cars at Closed Intersections Using Urban Infrastructure, Machine Vision Technologies and V2X Sharing

To ensure the safe operation of unmanned vehicles, it is necessary that the vehicle receives sufficient information about the road situation and other road users. But with different scenarios of movement, the amount of necessary information will be different. In the course of model experiments at the landfill, the possibility of interaction of the digital infrastructure of the road network with an unmanned vehicle through a dynamic digital traffic map is shown to increase the awareness of an unmanned vehicle about the real road situation at a closed intersection. Hardware and software for such a system in the form of the INVIAN-X2V machine vision module have been tested. The accuracy of determining vehicle movement parameters achievable at this stage of development of machine vision technologies for further transmission to a digital road map has been determined.