Udacity Advanced Lane Lines Project
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Updated
Apr 24, 2017 - Jupyter Notebook
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
Build a simple lane detector with Python and OpenCV
Lane-lines detection on a vedio
This is my first project in Udacity Self-Driving Car Nanodegree Program. The purpose of this project is to detect lane lines in images using Python and OpenCV.
Python jupyter notebook project on detecting lane lines on roads in a video stream
Lane Line Detection
webcam을 활용한 이미지 및 동영상 내 Lane & Line 탐지 프로젝트
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
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
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