Lane Detection Module using C++ and OpenCV

Lane Lines Detection using Python and OpenCV for self-driving car

Lane detection using OpenCV

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.

Real-time lane and car detection system using YOLOv8 and OpenCV, with distance estimation for vehicles. Ideal for autonomous driving and traffic analysis.

Lane detection and object detetion (YOLO) using OpenCV and python

An old experimental implementation of curved lane detection using OpenCV, RANSAC, DBSCAN etc

A lane detection program developed using OpenCV

Computer Vision algorithm to detect straight lane lines markings on road using OpenCV Image Processing, Color Masks, Canny Edge Detection and Hough Transform.

Building a simple lane detection iOS app using OpenCV

OpenCV Lane Detection using Python

This Python repository implements lane detection techniques using OpenCV which is the open-source library used for computer vision, machine learning and image processing.

Self Driving Car with Obstacle Detection and Lane Detection using OpenCV and Python

Realization of Lane Detection on CPU and implementation on FPGA using SDSOC and VIVADO. Key terms for used softwares: C++, OpenCV, xfOpenCV, Verilog, Xilinx, Vivado, SdSoC.

Lane detection using deep learning (Fully Connected CNN) and OpenCV

Detected highway lane lines on a video stream. Used OpencV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.

Real-Time Lane Detection using OpenCV

Detect roadway lanes using Python OpenCV - Find Line Detection (Image Processing)

A detailed comparison of lane detection and tracking algorithms using OpenCV libraries and MATLAB image processing toolbox

Lane detection system using OpenCV with camera calibration, perspective transform, polynomial fitting, and curvature calculation. Perfect for autonomous driving applications.

Driver drowsiness is the most critical cause of road accidents so detection of drowsiness play a vital role in preventing road accidents. We are developing an android app that will alert drivers before an accident occurs. This will reduce the number of road accidents on a road. Drowsiness is a natural phenomenon that happens in human body due to different factors. Machine learning was applied to predict drowsiness and improve drowsiness prediction using facial recognition technology and eye-blink recognition technology. In this app, front camera will take a picture of drowsy driver then this picture will be taken as input. In processing the detected image, we are using OpenCV Library. OpenCV Library uses Haar Cascade Classifier for detection images such as eyes and face. Eyes and face will be the target in this system. This application will be implemented on Android Operating System. Drowsiness detection system will send alert to the driver when the driver feels asleep while driving a car, this can avoid accidents. Driver which is the user in this application, if they close their eyes within one second, the sensor which is the front camera in the smartphone will catch and process this event and then trigger the system to give voice alert to the user. Moreover, if the driver is willing to turn on back camera then it will detect the lane detection violation and will calculate the distance from the vehicle ahead of it. If the distance is too close, then it will generate an alarm. It will also generate an alarm if there is a violation of the lane on the road.

A robust lane finding algorithm which also calculates curvature of the road.

Lane detection in python using OpenCV

dvanced lane detection using OpenCV! Implemented robust algorithms for accurate lane marking detection in real-time. Ideal for enhancing road safety and autonomous driving applications.

Detected highway lane lines on a video stream. Used OpenCV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.

Real Time Road Lane Detection using OpenCV python

iOS Autonomous Car Object Detector and Lane Detection using SwiftUI, OpenCV, CoreML

Lane Detection with Image Processing Method and using OpenCV

Self Driving Car using Raspberry Pi , OpenCv and Ml : Lane detection , Traffic sign detection , Lane overtaking

Lane Detection System using OpenCV and Python