Built a real-time lane departure warning system with a monocular camera, using OpenCV.

Semi-autonomous system for lane keeping based on C++ & OpenCV 4.x

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

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

This repository contains the school project due for the Computer Vision class at Politecnico di Torino, Master of Science in Computer Engineering.

Lane detection with images captured from a front-facing camera in CARLA simulator.

The system uses CARLA and YOLOPv2 for real-time lane detection and vehicle tracking. It triggers visual alerts on unintended lane departures, logs events via MQTT, supports Xbox One and G29, and works in various conditions.

In this repository, we provide a vehicle lane departure warning package constructed on ROS.

image rectification, thresholding, perspective transform and sliding-window search implementation for lane lines

Real-time ADAS using MiDaS depth estimation and YOLO object detection for collision alerts, lane departure warnings, and intuitive visual/audio feedback.

Data Fusion based Lane Departure Warning Framework Using Fuzzy Logic