Implementation of Lane Detection Algorithms for Autonomous Vehicle Using Lidar Point Cloud Data

In Advanced Driver Assistance Systems (ADAS) or Autonomous Vehicle, lane detection is very important criteria for navigation and safety. This paper focuses on implementation of algorithms for lane detection using Lidar point cloud data. Two different approaches are implemented for lane detection. In the first approach, the traj ectory information for lane detection is considered and the other approach is implemented without using trajectory information. The first approach with trajectory information performs better for the datasets. So, lane detection algorithm with trajectory information is implemented for real time datasets (WiRIN Data set).