Use of Image Processing in Lane Departure Warning System

Lane departure warning system is a method which assists a driver and also provides extreme care while car starts to move out of the lane by imparting adaptive cruise control which facilitates in detecting blind spot and providing significantly greater lane divergence warning using image processing. Multilevel fuzzy edge detection algorithm accomplishes improved efficiency and also provides exact detection of lane markings on roads even if there's fading of markings as years pass by. Precision of the device has been discovered to boost extremely by including a strategy that has been provided in this specific paper. It is different out of the conventional edge detection algorithm to identify the lane markings on streets and thereby aid the driver. This particular technique has created a refined and an accurate method which assists the driver with the aid of that type of lane departure warning system. Multitudinous parameters on the highways such as the dimensions of the lane markings, its distance and location from a specific reference point could be captured as well as recognized by several techniques making use of this algorithm which makes use of few image enhancement methodologies.