Goal is to create a software pipeline to identify the lane boundaries in a video and write a detailed commentary on the output.

Our National Telecommunication Institute (NTI) ADAS CAR System. Its Features: 1-Lane Keeping ,2-Lane Changing ,3-Blind-Spot ,4-Emergency Break, 5- Adaptive Cruise Control, 6-Front Collision Avoidance ,7-Rear Collision Avoidance ,8- Right Side Collision Avoidance, 9-Left Side Collision Avoidance,10-Rain Detection+ Auto Wipers,11-Thief detection

Udacity Self Driving Car Engineer Project - Advanced Lane Lines Detection

This repository contains my development of the Project: Finding Lane Lines proposed by the Udacity's Self-Driving Cars Nanodegree

Lane Finding and Curvature Estimation using Advanced CV techniques

Lane Line detection is a critical component for self driving cars and also for computer vision in general. This concept is used to describe the path for self-driving cars and to avoid the risk of getting in another lane. In this repo, we will build a machine learning project to detect lane lines in real-time. We will do this using the concepts o…

Road Lane Lines finding through Color Selection

C++ Lane Detection using OpenCV

Finding Lane Lines on the Road (project 1 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

Self driving car project for Harvard Robotic Class DGMD E-17 Spring 2021

This repository contains my development of the Project: Advanced Lane Lines proposed by the Udacity's Self-Driving Cars Nanodegree

Build a simple lane detector with Python and OpenCV

Lane Detection and Tracking project using opencv in python

Lane Detection and Departure warning.

Distinguish lanes for self-driving cars- using color selection, region masking & edge detection

This repo consists of details and open-sourced codes and materials of the HeRoCars - a Robotics Learning Technology developed at the Heterogeneous Robotics Lab of the University of Georgia. HeRoCars is a simulator-hardware integrative framework consisting of a game-inspired Unity-based Simulator module and a low-cost hardware module of robotized…

Lane tracking was done from the images taken from the camera placed on top of the vehicles using Computer Vision. Not done yet.

Lane Detection and Departure warning.

Self-driving vehicle with lane keeping functionality on a RPi 3B+.

Particle filter-based lane tracking Matlab code