Mobile System of Decision-Making on Road Threats

Detecting and recognizing brake lights is essential to avoid collisions and accidents caused by a vehicle driving behind another vehicle. This refers to traffic risk, among other things, to man-controlled vehicles as well as autonomous cars. There are many systems supporting drivers, which are also applied in autonomous cars. This paper presents a mobile decision-making system warning against traffic risks related to breaking a preceding vehicle. The new approach is two-stage and real-time one. Unlike other approaches, the presented solution, thanks to proper limitation of a searched area, works effectively on a mobile platform with restricted system resources. The results of experiments conducted on real video sequences on roads in various weather conditions showed high effectiveness of the proposed approach.