Online ArUco markers generator

A ROS wrapper of the AprilTag 3 visual fiducial detector

Detection of CCTag markers made up of concentric circles.

computer vision framework for tangible interactive surfaces

Augmented reality for Unreal Engine 4

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Precision landing using visual targets

STag: A Stable Fiducial Marker System

Robust Fiducial Markers for Augmented Reality And Robotics

This is a fiducial marker system designed for LiDAR sensors. Different visual fiducial marker systems (Apriltag, ArUco, CCTag, etc.) can be easily embedded. The usage is as convenient as that of the visual fiducial marker. The system shows potential in SLAM, multi-sensor calibration, augmented reality, and so on.

This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.

This is the repository for our paper 'Occlusion-Resistant LiDAR Fiducial Marker Detection'

Unofficial pytorch implementation of the model proposed in Deep ChArUco: Dark ChArUco Marker Pose Estimation CVPR2019 https://arxiv.org/abs/1812.03247 for ChArUco board localization.

A fiducial marker system powered by OpenCV - Supports ArUco and April

This repo provides a practical usage and anaylysis for the fiducial marker systems AprilTag, ArUco, ChAruCo, STag and TopoTag.

Hybrid behavioral tracking combining deep learning-based tracking and fiducial tags

This package introduces the concept of optimizing target shape to remove pose ambiguity for LiDAR point clouds. Both the simulation and the experimental results confirm that by using the optimal shape and the global solver, we achieve centimeter error in translation and a few degrees in rotation even when a partially illuminated target is placed…

Autonomous UAV Navigation in a GPS-Denied Outdoor Environment Using Discontinuous Visual Contact with Fiducial Markers

A ROS package to create ALVAR marker models for Gazebo simulation

The essence of the project is to utilize a technique known as Visual Servoing to control the motion of a robot. Visual Servoing is the method of controlling a robot’s motion using real-time feedback from vision sensors to execute tasks like tracking objects and following objects.