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