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 is the resources in the competition about LineDetection_Robot_Lego in 2019

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.

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 robust computer vision system that detects and tracks lane boundaries in real-time driving conditions using advanced image processing techniques, developed as part of the Udacity Self-Driving Car Nanodegree program.

A simple self driving car

This is the code for LineDetective_Robot in the competition in 2018