Showing 14 of 14 projects
A toolbox for calibrating multi-camera, visual-inertial, and rolling shutter sensor systems in robotics.
A multi-sensor calibration toolbox for autonomous driving, supporting IMU, LiDAR, camera, and radar calibration.
An open source platform for visual-inertial navigation research.
A ROS package for analyzing IMU performance using Allan variance on stationary data.
A curated collection of papers, toolboxes, and notes for LiDAR-camera extrinsic calibration methods.
A ROS-based method for extrinsic calibration between a 3D LiDAR and a 6-DOF pose sensor using point cloud crispness optimization.
A lightweight, accurate, and robust monocular visual-inertial odometry system based on a hybrid Multi-State Constraint Kalman Filter.
A ROS package for calibrating camera and LiDAR sensors using OpenCV's PnP and Levenberg-Marquardt optimization.
IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.
A ROS-based tool for manually calibrating extrinsic parameters between Livox LiDAR sensors and cameras using board corners.
A low-cost and accurate SLAM system that fuses Livox lidar with camera data for robust localization and mapping.
A ROS-based calibration tool for estimating extrinsic poses of lidar, radar, and camera sensor setups.
A self-supervised deep learning model for extrinsic calibration between LiDAR and camera sensors using 3D spatial transformer networks.
A MicroPython driver for Bosch BMP585, BMP581, BMP390, BMP280, and BME280 pressure sensors via I2C, supporting altitude calculation and sensor configuration.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.