Advanced Lane finding

Goal is to create a software pipeline to identify the lane boundaries in a video and write a detailed commentary on the output.

In this project, I have used computer vision techniques to identify lane boundaries and compute the lane metrics (radius of curvature, Offset to the center).

Lane Finding and Curvature Estimation using Advanced CV techniques

Udacity Self Driving Car Engineer Project - Advanced Lane Lines Detection

Udacity Advanced Lane Lines Project

In this project, a software pipeline was written to identify the lane boundaries in a video from a front-facing camera on a car using computer vision techniques with openCV.

Advanced Lane Finding (project 2 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

Advanced lane line fining including camera calibration

A cv2-based implementation of a self-driving car module responsible for lane lines detection under different lighting conditions, pavement textures and curves.

Python, Camera calibration and undistortion, Color and Gradient threshold, Warping and unwarping functions

C++ Lane Detection using OpenCV

Advanced Lane Finding project by Udacity, that teaches camera calibration, insights into perspective transforms, color space exploration and thresholding binary images. The repository contains the lane finding algorithm.

Advanced Lane Detection Project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines. Also determined the real curvature of the lane and vehicle position with respect to center

A software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. Project 2 of the Udacity Self-Driving Car Engineer Nanodegree program.

Lane Detection and Departure warning.

Software pipeline to identify lane boundaries from a video streaming from a front-facing camera on a car using color transform and gradient

Advanced Lane Detection Project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines. Also determined the real curvature of the lane and vehicle position with respect to center.

Udacity Self-Driving Car Engineer.