A cv2-based implementation of a self-driving car module responsible for lane lines detection under different lighting conditions, pavement textures and curves.
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Updated
Aug 2, 2020 - Jupyter Notebook
A cv2-based implementation of a self-driving car module responsible for lane lines detection under different lighting conditions, pavement textures and curves.
Advanced lane line fining including camera calibration
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
Python, Camera calibration and undistortion, Color and Gradient threshold, Warping and unwarping functions
Software pipeline to identify lane boundaries from a video streaming from a front-facing camera on a car using color transform and gradient
C++ Lane Detection using OpenCV
Udacity 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.
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.
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.
Advanced Lane Finding (project 2 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
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).
Goal is to create a software pipeline to identify the lane boundaries in a video and write a detailed commentary on the output.
Udacity Self Driving Car Engineer Project - Advanced Lane Lines Detection
Lane Finding and Curvature Estimation using Advanced CV techniques
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 Detection and Departure warning.
In this project, I used OpenCV to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car.
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