Voxelmaps Reality Capture Network: Mapping San Jose in 3D (LiDAR, Voxels & Gaussian Splats)

Voxelmaps is deploying its Reality Capture Network across cities in the United States, beginning with San Jose. Our mobile mapping sensors continuously collect high-resolution multimodal data including LiDAR, imagery, and video to create detailed digital representations of the real world.

This video showcases the capture and processing of urban environments into high-resolution point clouds, voxelized spatial data, and advanced 3D Gaussian Splats (3DGS). The resulting datasets help power next-generation world models, robotics, autonomous systems, and large-scale digital twins.

Voxelmaps’ distributed sensor network is designed to continuously map cities, providing dynamic, high-fidelity spatial data for AI training, robotics, and intelligent infrastructure.

Key technologies featured:
• Mobile LiDAR mapping
• Multimodal urban data capture
• High-resolution point clouds
• Voxels and volumetric mapping
• 3D Gaussian Splats (3DGS)
• Reality Capture Networks for cities

Learn more about how Voxelmaps is building the data infrastructure for machines to understand the physical world.

Видео Voxelmaps Reality Capture Network: Mapping San Jose in 3D (LiDAR, Voxels & Gaussian Splats) канала Voxelmaps