Laser Scan Processor is a ROS package developed to process information from Laser Scan messages.

In this work, we present a novel approach of line detection through CNNs (convolutional neural networks) which can be used as a first stepping stone towards building an end-to-end neural network to detect lines. The CNN-based method would eliminate the limitations of standard hough transform including hyperparameter finetuning at test time.

This repository contains a Python script that demonstrates line detection in a video using OpenCV. The script processes a video file to detect and highlight lines, which can be useful for applications such as lane detection in autonomous driving.

This is the resources in the competition about LineDetection_Robot_Lego in 2019

System detects lanes, traffic signs, vehicles and speed (fast, slow, stop).

Line detection and merging method

This is the resources in the competition about LineDetective_Robot_Lego in 2018

A simple self driving car

This is the code for LineDetective_Robot in the competition in 2018