Camera Aided Line Follower

C++ programming, using OpenCV, to process and analyze a video sequence of road traffic.

The Machathon 5.00 repository provides all the required tools and utilities for the Machathon 5.00 simulation phase.

C++ Lane Detection using OpenCV

Lane Detection using classical approach and a deep learning based approach

[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset

Perform inference with TwinLiteNet model using ONNX Runtime. TwinLiteNet is a lightweight and efficient deep learning model designed for drivable area and lane segmentation

An easy-to-use implementation for performing inferencing with TwinLiteNet model using OpenCV DNN module. TwinLiteNet is a lightweight and efficient deep learning model designed for drivable area and lane segmentation

Basic lane detection program written in C++

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.

分别使用OpenCV、ONNXRuntime部署Ultra-Fast-Lane-Detection-v2车道线检测，包含C++和Python两种版本的程序

Line detection from images, object clustering and point cloud triangulation

Udacity Self-Driving Car Engineer Nanodegree projects.

My work from the Self-Driving Car Nanodegree Program

My projects for Udacity's Self Driving Car Nanodegree program.

使用ONNXRuntime部署LSTR基于Transformer的端到端实时车道线检测，包含C++和Python两个版本的程序

An ESP32/Arduino + Raspberry Pi RC car featuring GPS, machine vision, pathfinding and Bluetooth control.

This repository is TensorRT implement of PINet

🚘 Lane Keeping robot using an STM32, PlatformIO, and I2C communication protocol.

Detect a road lane using RGB camera