3D object detection and recognition based on RGBD Image using Pointcloud and Artificial Neural Network at ROS Workspace
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Updated
Jan 27, 2021 - C++
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
3D object detection and recognition based on RGBD Image using Pointcloud and Artificial Neural Network at ROS Workspace
PointCloud to PointCloud2 and inverse converter, http://wiki.ros.org/point_cloud_converter by Radu Bogdan Rusu revived
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Generating a cost map from point cloud data using local elevation binning
A 3D and 2D processing base on glam
利用 gazebo 仿真 kinect 深度相机实现 PointCloud2 点云数据转换为 pcd 文件
Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''
2 Python API functions for point cloud conversion between Open3D and ROS. Compatible for XYZ and XYZRGB point type.
Point cloud semantic segmentation via Deep 3D Convolutional Neural Network
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
NSL-3130AA ROS2 USB interface
Examples of how to build (with docker) and use pointcloud-raster