Project: Advanced Lane Finding || Udacity: Self-Driving Car Engineer Nanodegree

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.

This repository is aimed towards using advanced computer vision techniques to accurately detect lane lines on unfavorable roads.

Lane finding algorithm using image binarization and bird-eye perspective warping

Detected highway lane boundaries on a video stream with OpenCV image analysis techniques, including camera calibration matrix, distortion correction, color transforms, gradients, etc., to create a thresholded binary image, a perspective transform to rectify binary image ("birds-eye view"). Detected lane pixels and fit to find the lane boundary, …

Image processing pipeline for detecting highway lane in a video

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

My solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.

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 finding, done as a part of Udacity Self Driving Car Nanodegree Program

This repository contains the source code for Advanced Lane Detection using OpenCV, Python and other tools.

Advanced lane patch detection using Opencv image thresholding

CarND Advanced Lane Detection. See my demo at https://www.youtube.com/watch?v=ItwgPuQojds&feature=youtu.be

As a part of the udacity self driving car nano degree program this an advanced version of lane detection using CV

Computer vision lane line detection

A software pipeline to identify the lane boundaries in a road using a combination of advanced techniques like gradient, color and perspective transforms along with distortion correction and camera calibrations.

[Udacity] Projects for Self-Driving Cars Nanodegree by Udacity

Project 4 of Udacity Self Driving Car Nanodegree