The Kalibr visual-inertial calibration toolbox
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Updated
Feb 14, 2023 - C++
The Kalibr visual-inertial calibration toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
A ROS package tool to analyze the IMU performance.
A simple way to calibrate your neural network.
Control monitor settings using DDC/CI and USB
Automated, hardware-independent Hand-Eye Calibration
calibration for Imu and show gesture
A Library for Uncertainty Quantification.
This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.
IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.
[IROS2022] Robust Real-time LiDAR-inertial Initialization Method.
A multi-sensor capture system for free viewpoint video.
[ICCV21] Self-Calibrating Neural Radiance Fields
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
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