ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
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Updated
Apr 4, 2023 - C++
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
ArUco-based EKF-SLAM.
Working examples/tutorial for detection and pose estimation of ArUco markers with C++, including instructions to build and install OpenCV from source.
design and implementation of a camera pose estimator using a known sized detected square. in this project we used Aruco markers but you can use any square else to estimate the camera position.
ROS wrapper for the OpenCV integration of ArUco and ChArUco
C interface to the aruco, calib3 and ccalib OpenCV modules for ArucoUnity.
To make, detect, and estimate pose based on ArUco Marker
Camera localization using aruco markers.
Simple ARUCO marker detector for ROS
A C++ module for augmented reality with groups of ArUco markers and LK optical flow based on FAST features' tracking.
Track ArUco markers and output movement commands to re-center the marker to serial port
Augmented reality using ArUco markers or point cloud data from RGB-D camera
Edge+Autodriving demo system.
Contains an augmented reality project which includes Aruco markers.
Repository for Camera Calibration and ArUco detection
Uses a downward facing camera to see a landing target, and guides the drone to land there. This node will consume and leverage topics with the Xeni drone nodes.
Warehouse Automation
Sample to detect position and orientation of aruco markers (http://goo.gl/k4LniZ) using OpenCv and ros-indigo
Modified names to run alongside apriltag_ros for tagslam
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