Enable parallel AI coding agents to work on a Git repository with isolated branches, preventing conflicts and streamlining collaboration.

A Raspberry Pi–based autonomous robot car that uses real-time computer vision to detect road lanes and dynamically adjust motor speeds for stable lane following. The system integrates OpenCV image processing with differential motor control to achieve closed-loop autonomous navigation

A computer vision project for real-time lane detection using OpenCV and Python, designed for front-facing vehicle cameras in autonomous driving applications

Autonomous car powered by the Raspberry Pi with image processing (OpenCV)

Finding Lane Lines on the road

Lane detection for autonomous navigation using opencv library, done as a part of Udacity Self Driving Car Nanodegree Program

This is a very simple lane detection made with python.

This project utilizes a software pipeline to identify the lane boundaries in a video.

C++ Lane Detection using OpenCV

Lane Line Fitting Based on Perspective Transformation | 基于透视变换的车道线拟合

Unofficial implemention of lanenet model for real time lane detection

粗糙、简单、有效的车道线特征检测算法实现

ADAS for BeamNG.drive

we present the plans of a driver-assistance system, which will be capable of road lane and traffic sign detection by using an OPEN-CV.

Contains my assignments and labs for Udacity's Self-Driving Car Engineer nanodegree

Udacity Self-Driving Car Engineer Nanodegree projects.

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection