There are 0 repository under lane-boundaries topic.
Advanced lane detection using computer vision
detect curved lane lines using HSV filtering and sliding window search.
Lane detection and classification in an end-to-end Deep Learning fashion
Project: Advanced Lane Finding || Udacity: Self-Driving Car Engineer Nanodegree
Udacity Self-Driving Car Engineer.
This project is to detect lanes in a video or image and project the results on the output. advanced math and image processing including openCV was used to finish the project.
Finding lane lines on the road
Lane Marking Quality Assessment for Autonomous Driving
Distinguish lanes for self-driving cars- using color selection, region masking & edge detection
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.
My Submission for Udacity Self Driving Car Nano Degree Advanced Lane Lines Project
An OpenCV implementation of road lane detection written in Python.
This project utilizes a software pipeline to identify the lane boundaries in a video.
Advanced computer vision techniques to identify lanes, the position of the vehicle within the lane, the radius of curvature of the lane.
Lane Detection for Self-Driving Cars
Advanced Lane Lines: In this project, my goal is to write a software pipeline to identify the lane boundaries in a video (Computer Vision and Deep Learning)
This project is to write a software pipeline that identify lane boundaries in a video.
C++ Lane Detection using OpenCV
The Goal of this Project is to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. The camera calibration images, test road images, and project videos are available in the project repository.
Identify lane boundaries in a video and display numerical estimation of lane curvature and vehicle position using camera calibration and perspective transform ("birds-eye view").
Advanced lane line fining including camera calibration
Self-Driving Nano Degree Program : Advanced Lane Detection
Finding Lane Lines on the Road (project 1 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
Repository for the Advanced lane finding project
Advanced Lane Finding - Project 2 of the Udacity Self-Driving Car Nanodegree program
Advanced Lane Finding Project
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.
Project four submitted in partial completion of the Udacity Self Driving Car Engineer Nanodegree - Semester 1
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).
Advanced Lane Finding Project
Udacity Self Driving Engineer Nanodegree - Project 4 - Advanced Lane Finding
Research project on advanced lane finding algorithm using OpenCV for images and videos
To identify the lane boundaries in a video
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.
Robust lane finding in a variety of conditions using computer vision techniques.