Horizon Line Detector which can detect uneven horizons
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Updated
Sep 22, 2017 - C++
8000
Horizon Line Detector which can detect uneven horizons
Core pipeline for the detection of road lines and their representation in world coordinates. Base for several autonomous vehicles works.
This respository contains the files of Ubot Line Follower project workspace. The src folder contains a package miniproj which has all urdf files, algorithm for the UBot telepresence robot by Crobot Technologies Private Limited and the same was submitted for my miniproject during my undergraduate study at SASTRA Deemed University.
Robust 2D line detection from Lidar point clouds using the RANSAC algorithm in C.
lane detection and lane-keeping algorithm implemented in Python using OpenCV. The goal of the algorithm is to detect lane lines in a video stream and calculate the steering angle required to keep the vehicle within the lane.
Udacity Self-Driving Car Engineer Nanodegree Project : Finding Lane Lines on the Road
Project to extract lines from an image of a sports court, and then classify the lines.
A faint line detection algorithm based on rotation and column summation
In this project you will detect lane lines in images using Python and OpenCV. OpenCV means "Open-Source Computer Vision", which is a package that has many useful tools for analyzing images.
A simple tool for processing road lane detection in camera streams. Customize lane width and line thickness to filter road information and reduce interference.
The attached Colab notebook contains code snippets for edge detection using the Sobel Operator (both horizontal and vertical masks) and line detection using the horizontal, vertical, +45 degrees and -45 degrees masks.
Seguimiento de lineas basado en OpenCV para AGVs
This is a repository for my homework about ransac algorithm implementation for machine vision class.
A custom computer vision pipeline, featuring manual implementations of the Canny edge detection algorithm and Hough Transform to detect important lines in images.
Computer vision and image processing algorithms.: Interactive Hough Transform visualizer for line and circle detection.
Demonstration implementation of the Rotlinedet algorithm for detecting faint lines in images
Discover my Arduino-powered line tracking robot, meticulously calibrated for precision and with a built-in obstacle detection and a modular C++ codebase.
Image Processing algorithms implement in Java.
Brazilian Robotics Olympiad
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