ENPM673: Project 2 Problem 2 and 3. In this project I detect the road lanes by performing image transformations on each frame of continuous input, further developing the program to also visually predict upcoming turns

In this project we aim to do simple Lane Detection and Turn Prediction to mimic Lane Departure Warning systems used in Self Driving Cars.

Implementing a simple lane detection algorithm to mimic Lane Departure Warning systems used in Self-Driving Cars.

Python code to detect lanes from a video input.

Using traditional computer vision techniques to detect lanes on the road. Also done here is finding out the curvature of the road which is used to predict turns.

Lane detection is a crucial step in training autonomous driving cars. It helps identify and avoid entering other lanes by analyzing visual input. Lane recognition algorithms play a vital role in ADAS and autonomous vehicle systems. They accurately detect lane locations and borders, contributing to safe and reliable navigation.

Lane detection and turn prediction for self-driving vehicles.

Lane Detection and Turn Prediction for Self Driving Car

Lane detection with turn prediction

A simple algorithm to perform lane detection and turn prediction for a self driving car