Abstract:

A safety early warning system of vehicles and vulnerable road users in the global domain was proposed based on machine vision and information sharing to improve the traffic safety at road intersections. The system consisted of roadside unit and on board unit. The roadside unit cameras captured intersection real
time videos. The machine vision technology calculated the motion states of vehicles and vulnerable road users. The traffic safety degrees of the monitoring targets were judged by calculating the time to collision. The roadside unit released alarm information precisely to the dangerous vehicle. The system transmitted accurately warning information to the dangerous vehicle. The target detection and the motion analysis were simulated and tested for the system. The test results show that the early warning scheme is feasible in vehicle detection, motion analysis and safety prediction under the test conditions.

Key words: road transport, active safety , intersection, driving assistance , vehicle to X (V2X) ,  machine vision , information sharing