This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to buil…

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

Lane Marking Quality Assessment for Autonomous Driving

This is a computer vision project for solving the problem of lane detection in autonomous driving vehicles. The project uses simple thresholding based techniques in L*a*b color space. Programming has been done in C++ using OpenCV library.