REAL-TIME LANE DETECTION ANALYSIS AT NIGHT

The Lane driving assistance is the need of the hour as the number of people using vehicles has increased. This may increase the chances of accidents.If we consider driving at night time, smart assistance for vehicles is even more important. We have worked on the lane detection, where we have implemented our algorithm for four different scenarios. We have used Adaptive Gamma Correction on dark frames and Inverse Perspective Mapping(IPM) is used with camera calibration and Kalman Filter(KF) plays an important role in predicting the lanes in the dark environment. The experiment conducted shows that our algorithm is robust to use in real-time night conditions.