Vehicle Lane Detection for Accident Prevention and Smart Autodrive Using OpenCV

Road accidents have been rising alarmingly, and the reason for this increment is because of drivers being distracted. As a result, several technical advancements have lately been developed in the field of road safety. There are many systems available that can alert drivers to various threats, including lane departure, the potential for collisions, and numerous traffic signs. Through the use of lane detection systems, which essentially assist by identifying the lane borders of the road and then alert the driver if he moves to an improper lane, it is one way to go about this, moreover during the night times where chances of less visibility and losing concentration by driver can occur would also be looked over. So the use of multiple techniques can be enhanced by upscaling the images. The use of gamma correction is going to help to increase contrast and upscale the images for better recognition of the lanes at night which are dark and are hard to analyze due to less light.