Lidar Based Lane-Change Assistance For Motor Vehicle

The work focuses on developing an algorithm to assist drivers in lane changing using Light Detection and Ranging (LiDAR) and Computer Vision (CV). It is expected to reduce the number of accidents caused by improper lane switching. It proceeds with the help of the dataset taken from Karlsruhe Institute of Technology and Toyota Technological Institute of Chicago (KITTI) vision benchmark suite which consists of both LiDAR and CV samples. By combining the results obtained from CV with the LiDAR data, it is possible to predict the distance between the car and the nearest obstacle. An algorithm is developed to indicate the availability of a free lane with the data obtained.