Perception Estimation of Vehicle Motion

Vehicular movements are bounded to some rules and regulations based on the environment and road networks. Visual signals are the most common way of transferring perception of motion to immediate vehicles but these indications do not portray correct perception of the motion. Visual indications are reserved for forward vehicle intensions but such indications can not provide surety of avoiding collisions between vehicles because these indications are generated in result of human decisions. Main reasons of collision are either wrong estimation of motion of immediate vehicles by the driver or a delayed understanding of visual indications by followers of particular vehicle. If this delay is transformed into immediate understanding by using intelligent controllers in vehicles then result will be a collision free motion between them. In this paper, an understanding is developed against perception of motion and its effects on followers and a recommended intelligent controller is presented for vehicles.