The Kalibr visual-inertial calibration toolbox
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Updated
Mar 30, 2024 - C++
The Kalibr visual-inertial calibration toolbox
A generic and robust calibration toolbox for multi-camera systems
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
Calibration tools for multi-sensor, multi-modal robotic systems
Extrinsic Calibration of Multiple Inertial Sensors from Arbitrary Trajectories
Bayesian fitting package
Black-box abm calibration kit by the Bank of Italy
Python package of spatial calibration tools for science & engineering camera systems.
Optical multi-view motion capture with calibration suite
Object Oriented Modular Abstract Calibration Toolbox
LiDAR-Camera Calibration for non-repeative scanning Livox LiDAR
Black-box Bayesian inference for agent-based models in the social sciences
Image and depth+image rig calibration, image and mesh co-registration, bundle adjustment, large-scale mesh generation, and seamless texturing
Collection of tools and code examples designed to help users improving the accuracy of the MPS MagAlpha magnetic angle sensor by implementing a calibration curve.
The Kalibr visual-inertial calibration toolbox
Markerless Robot 3D Camera Calibration Tool; reduces at least a half-day effort to 5-min.
Robust RGB-D-IMU Calibration Method Applied to GPS-aided Pose Estimation
Camera calibration library which aims to be easier and faster to use than OpenCVs calib3d
structure from motion (SfM) is the process of estimating the 3D structure of a scene from a set of 2D images. here I estimate the poses of a calibrated camera from two images, reconstruct the 3D structure of the scene up to an unknown scale factor, and then recover the actual scale factor by detecting an object of a known
Simple extrinsic autocalibration framework
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