3D point cloud technology facilitates the automated and highly detailed acquisition of real-world environments such as assets, sites, and countries. We present a web-based system for the interactive exploration and inspection of arbitrary large 3D point clouds. Our approach is able to render 3D point clouds with billions of points using spatial data structures and level-of-detail representations. Point-based rendering techniques and post-processing effects are provided to enable task-specific and data-specific filtering, e.g., based on semantics. A set of interaction techniques allows users to collaboratively work with the data (e.g., measuring distances and annotating). Additional value is provided by the system’s ability to display additional, context-providing geodata alongside 3D point clouds and to integrate processing and analysis operations. We have evaluated the presented techniques and in case studies and with different data sets from aerial, mobile, and terrestrial acquisition with up to 120 billion points to show their practicality and feasibility.

3D点云技术促进了对现实环境（例如资产，站点和国家）的自动化和高度详细的获取。我们提出了一个基于Web的系统，用于交互式探索和检查任意大型3D点云。我们的方法能够使用空间数据结构和详细程度表示法绘制数十亿个点的3D点云。提供基于点的渲染技术和后处理效果，以实现特定于任务和特定于数据的过滤，例如基于语义。一组交互技术使用户可以与数据协同工作（例如，测量距离和注释）。该系统具有在3D点云旁边显示附加的，提供上下文的地理数据以及集成处理和分析操作的功能，从而提供了附加价值。