Calibration
Showing 15 of 15 projects
A toolbox for calibrating multi-camera, visual-inertial, and rolling shutter sensor systems in robotics.
A high-performance TensorFlow library for quantitative finance, providing mathematical methods, pricing models, and calibration tools.
A multi-sensor calibration toolbox for autonomous driving, supporting IMU, LiDAR, camera, and radar calibration.
A ROS package for extrinsic calibration between LiDAR and camera sensors using 3D-3D point correspondences.
A ROS package for analyzing IMU performance using Allan variance on stationary data.
A target-less, automatic toolbox for LiDAR-camera extrinsic calibration that works with various sensor models without requiring calibration targets.
Python tools for working with the KITTI autonomous driving dataset, providing data loaders and utilities for computer vision and robotics.
Automated, hardware-independent hand-eye calibration for ROS1 with GUI support for robot vision tasks.
A TensorFlow library implementing constrained and interpretable lattice-based models with shape constraints like monotonicity and convexity.
A robust system for multi-LiDAR extrinsic calibration, real-time odometry, and mapping without manual intervention.
A ROS2 package for calibrating robot parameters like camera intrinsics, joint offsets, and frame transforms via optimization.
A Python implementation for fully automatic extrinsic calibration of 3D LiDAR and cameras using laser reflectance intensity.
A ROS wrapper for the AprilTag 3 visual fiducial detector, enabling marker-based pose estimation in robotics applications.
A curated list of academic papers, datasets, and code for correcting rolling shutter effects, radial distortions, and text distortions in images and videos.
A real-time fiducial tag system for LiDAR point clouds, robust to lighting and compatible with visual markers like AprilTags.
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