Thomas Gölles

A Python package to analyze and visualize 3D point cloud time series.

[Pointcloudset](https://github.com/virtual-vehicle/pointcloudset/) is a unique package to work with point cloud datasets. It is designed for post-processing, analytics and visualization of point clouds from automotive lidar, terrestrial laser scanners, RGB-D (red, green, blue, depth) cameras, photogrammetry and more. The package is based on pandas, open3D, pyntcloud and dask which allows parallel processing of large datasets. The high level API makes it easy to get started. Common use cases for the package are: * post processing and analytics of lidar datasets recorded by the robot operating system (ROS). * collect multiple laser scans into one dataset * develop a processing algorithm and apply it to large datasets and analyze the results During the talk I will present datasets and workflows from automotive lidar (Ouster OS1-64) and terrestrial laser scanners (Riegl VZ-6000).