Lane line detection and vehicle position estimation with computer vision. Project 4 of Udacity's Self-Driving Car Engineer Nanodegree Program.
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Updated
Aug 15, 2017 - Python
Lane line detection and vehicle position estimation with computer vision. Project 4 of Udacity's Self-Driving Car Engineer Nanodegree Program.
A Region of Interest mask and Color Selection over Lane Lines
A more robust fully convolutional lane finding algorithm for GTA5
🚙 Advanced lane finding for a self-driving car using camera
Udacity Self Driving Car Engineer Nanodegree projects
Neural network to predict and draw traffic lanes.
ADAS for BeamNG.drive
A Lane finding pipeline implemented in Python and OpenCV based on gradient and colour thresholding
Highway lane detection in videos
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
C++ Lane Detection using OpenCV
To identify the lane boundaries in a video
Python jupyter notebook project on detecting lane lines on roads in a video stream
Udacity Self Driving Car Nanodegree - Finding Lane Lines in a Video Stream
Threshold an image interactively (HSV,HSL, Sobel X/Y)
Applying a color threshold in the HLS color space
Detected highway lane lines on a video stream. Used OpencV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
Advanced lane detection (incl. curvature) using advanced computer vision techniques.
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.
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