This project explores the creation of a high-resolution 3D point cloud viewer, built to handle and visualize data captured with LiDAR technology. At its core, the system renders millions of points in real time, offering an immersive way to navigate complex 3D environments. The viewer supports interaction, navigation, and flexible coloring, making it a versatile foundation for advanced 3D mapping applications.

The most compelling challenge lies in scalability. Rendering millions of points in the Browser, while maintaining smooth navigation requires careful optimization of memory, GPU usage, and rendering pipelines. Balancing performance with visual fidelity is key, as high-resolution LiDAR data is both dense and heavy. Another challenge is designing interaction mechanisms that remain responsive at scale—users should be able to explore, zoom, and recolor massive datasets without lag. Finally, there is the question of extensibility: the viewer is not only a stand-alone tool but also the basis for future projects, so it must be modular, flexible, and ready to integrate with advanced features such as semantic layers, data overlays, or real-time analysis.

See the video below…