Self-Driving Nano Degree Program : Advanced Lane Detection
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Updated
May 29, 2017 - Jupyter Notebook
Self-Driving Nano Degree Program : Advanced Lane Detection
CarND Advanced Lane Detection. See my demo at https://www.youtube.com/watch?v=ItwgPuQojds&feature=youtu.be
A repository with notes from the seminar given on 28 November 2018.
[OpenCV] Course assignments for Computer Vision.
This repository contains multiple Jupyter Notebooks implementing computer vision tasks.
Visual Odometry software for self driving vehicle
Estimates distance traveled by a basketball player based on video footage
Simple application (c++/OpenCV/Qt5/QML) to calibrate the camera based on a cheasboard
C++ library for camera calibration (for future projects)
Find HALCON calibration board pattern from an image and extract center points in the circle grids array.
Detect lane lines in a video from a front-facing camera on a car in a variety of conditions including changing road surfaces, curved roads, and variable lighting.
Concepts of Image Processing is being used to identify the lane more precisely
Checker Board analysis for alignment of pointclouds
Digital Image Processing course works
This is an employee database app which can be used to store the details of an employee. Various features like importing and exporting the employee list and sharing the employee data with the users is also used.
chessboard camera calibration and camera localization using known points with python
Scratch implementation of Zhang’s Algorithm for Camera calibration using checkerboard, corner detection <Completed>#
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