Udacity Advanced Lane Lines Project

LaneLines detector

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.

OpenCV for image processing - Road Lane Detection

Udacity: Self-Driving Car Engineer Nanodegree | Project: Finding Lane Lines on the Road

Finding Lane Lines - Project 1 of Udacity's Self Driving Car Nanodegree

Advanced lane lines finding project for Udacity self-driving car nanodegree

Lane Detection and Turn Prediction for Self Driving Car

Simple algorithm to find lanes with the help of lane lines.

When we drive, we use our eyes to decide where to go. Naturally, one of the first things we would like to do in developing a self-driving car is to automatically detect lane lines using an algorithm. In this project we will detect lane lines in images using Python and OpenCV, which is a package that has many useful tools for analyzing images.

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…

The project is based on deep learning which detects the lane in road and suggest the user/EMI of car to drive as per the lane presence.

An automatic steering assistant for the game Euro Truck Simulator 2

🏎️ Advanced Lane Lines Detection Project using OpenCV for the Self-Driving Car Nanodegree at Udacity

Udacity Self-Driving Cars projects

Udacity - Self Driving Car Nanodegree - Term 1 - Project 1 - Finding Lane Lines on the Road

Lane Line detection using Python and OpenCV

Advanced automatic lanes detection and annotation in realtime video streams