DESIGN AND IMPLEMENTAION OF SAFETY MEASURES CAUSE BY DROWSINESS DETECTION IN AUTOMOTIVE VEHICLE

Abstract

Driver’s drowsiness is the major problem that causes road accidents. Unlike normal facial expression, drowsiness is defined to be a condition of exhaustion, where the expression of the face is different from usual. The important steps in detecting drowsiness are face detection and expression detection. When the detection occurs that time the hazard lights are activate automatically to warn other drivers that the vehicle is a temporary obstruction. Also we have proposed new safety method using Ultrasonic sensors. It is used to detect the obstacles in which by using transmitter and receiver signals. The barrier principle determines the distance from the sensor to the reflector (Retro-Reflective Sensor) or to an object (Through-Beam Sensor) in the measuring range. The distance measurement using ultrasonic sensors to detect obstacles and their distances. Once the obstacle has been detected and safe separation distance is reached, the vehicle will automatically get stopped and also shared control concept for lane keeping assist (LKA) systems of intelligent vehicles. The core idea is to combine system perception with robust control so that the proposed strategy can successfully share the control authority between human drivers and the LKA system. This shared control strategy is composed of two parts, namely an operational part and a tactical part. Two local optimal-based controllers with two predefined objectives (i.e., lane keeping and conflict management) are designed in the operational part. The control supervisor in the tactical part aims to provide a decision making signal which allows for a smooth transition between two local controllers. The control design is based on a human-in the-loop vehicle system to improve the mutual driver-automation understanding, thus reducing or avoiding the conflict. In particular, the control design is formulated as an LMI optimization which can be easily solved with numerical solvers. The effectiveness of the proposed shared control method is clearly demonstrated through various hardware experiments with human drivers. Its controls the steering and to go on the straight road.