software pipeline to identify the lane boundaries and cars in a video for autonomous self-driving cars

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.

An advanced algorithm for lane detection utilizing different color space, thresholding techniques and sliding window search.

Finding Lane Lines on the Road (project 1 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

This is my code submission for Self-driving Car Nanodegree from November 2016.

Advance Lane Line Detection for Self driving car

Finding Lane Lines on the Road

Project on detecting lane lines on roads in a video stream, using polynomials

Project for Lane-Lines

Lane Finding Project for Self-Driving Car ND

Lane lines detection Project for Self-Driving Car ND using python and opencv

A novel lane detection algorithm based on BezierLaneNet, ranked No.4 on LLAMAS test bechmark

Lane Finding Project for Self-Driving Car ND

'Finding Lanes using OpenCV' project 1 of the Udacity Self-Driving Car Nanodegree program.