Pointcloud
Showing 12 of 12 projects
A standalone, large-scale open-source library for 2D/3D image and point cloud processing.
A ROS2 wrapper for Intel RealSense cameras that provides depth, color, and IMU data as ROS topics and services.
A web-based labeling tool for creating semantic segmentation training data from 2D images and 3D point clouds.
A realtime LiDAR odometry and mapping (LOAM) method for state estimation and mapping using 3D lidar sensors like Velodyne VLP16.
A deep learning framework for feature learning directly from point clouds using X-Conv operations, achieving state-of-the-art results in classification and segmentation.
A curated list of awesome LIDAR sensors, datasets, libraries, algorithms, and simulators for robotics and autonomous driving.
A curated list of awesome LIDAR sensors, datasets, libraries, algorithms, frameworks, and simulators for robotics and autonomous driving.
A Three.js-based JavaScript/WebGL framework for visualizing 3D geospatial data in web browsers.
A semi-automatic, web-based toolbox for annotating 3D bounding boxes in full-surround, multi-modal sensor data streams.
A ROS node for probabilistic 3-D/6-DOF localization of mobile robots using 3-D LIDAR pointclouds and Monte Carlo localization.
A ROS-based dataset and tools for autonomous vehicle development with seasonal multi-sensor data from Ford vehicles.
A ROS filter that removes points belonging to a robot's own body from laser scans and point clouds.
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