Advanced Driver Assistance System (ADAS) Implementation using Matlab

The leap in Technologies have led to more complex road safety applications. These systems provide multiple possibilities for improving road transport. The system focuses mainly on single-carriageways roads, given the complexity of these environments compared to motorways. The proposed ADAS is a system designed to assisting vehicle drivers through lane departure warning and pedestrian crossing warning systems, is based on advanced perception techniques, vehicle automation. The Drowsiness detection proposed algorithm conducts the detection process by recording the video sequence of the drivers and image processing techniques. The system consists of four well-defined phases, namely the face detection, eye tracking, yawning detection and detection of head lowering. To recognize the traffic sign, the system has been proposed with three phases. They are Traffic board Detection, Feature extraction and Recognition. The detection phase consists of RGB- based colour thresholding and shape analysis, which offers robustness to differences in lighting situations.