There are 0 repository under advanced-lane-finding topic.
Project: Advanced Lane Finding || Udacity: Self-Driving Car Engineer Nanodegree
This repository is aimed towards using advanced computer vision techniques to accurately detect lane lines on unfavorable roads.
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.
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, determined the curvature of the lane and vehicle position with respect to center. Warped the detected lane boundaries back onto the original image.
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
Image processing pipeline for detecting highway lane in a video
My solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.
Advanced lane patch detection using Opencv image thresholding
This repository contains the source code for Advanced Lane Detection using OpenCV, Python and other tools.
As a part of the udacity self driving car nano degree program this an advanced version of lane detection using CV
CarND Advanced Lane Detection. See my demo at https://www.youtube.com/watch?v=ItwgPuQojds&feature=youtu.be
Advanced lane finding, done as a part of Udacity Self Driving Car Nanodegree Program
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.
Finding Lane lines using Advanced techniques
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.
Robust Detection of Line Lanes on the Road
Udacity - Self Driving Car Nanodegree - Term 1 - Project 4 - Advanced Lane Finding
Computer vision lane line detection
A software pipeline to identify the lane boundaries in a video
Advanced Lane Finding Project for Udacity Self Driving Car Nanodegree.
Output visual display of the lane boundaries and numerical estimation of lane curvature and vehicle position
[Udacity] Projects for Self-Driving Cars Nanodegree by Udacity
Project 4 of Udacity Self Driving Car Nanodegree
The goal is to write a software pipeline to identify the lane boundaries in a video.