Turn drone data into actionable spatial intelligence.
Reconstruct tactical environments for mission rehearsal, analyze adversary UAV/UGV footage, and coordinate autonomous systems and human-machine teams through a shared 3D coordinate frame.
Use case 01
Rehearse the actual objective
Create rehearsal-grade 3D reconstructions from your own small UAS, in hours, without reachback
Turn sparse RGB and IR drone captures into a metric-scale, rehearsal-grade 3D reconstruction for mission planning and objective rehearsal at the tactical edge.
Walk through the model from the team’s approach angle and practice the mission against the environment they will encounter.
Check wall, window, courtyard, road, breach-point, and line-of-sight dimensions before execution.
Generate the reconstruction on self-contained compute at the staging site, without network reachback.
Use case 02
Put recovered enemy footage on the map
Intercepted or recovered footage can be localized frame by frame against geo-registered 3D models, producing the platform’s route, likely launch area, and dwell points.
Use Niantic Spatial’s Visual Positioning System to localize intercepted or recovered UAV and UGV video against available spatial reference data.
The mapping flights your platforms already fly build the reference.
A per-frame position trace turns footage into a flight path with a start point.
Analyze the scene and flight path to assess areas or assets that may have been under surveillance.
Use case 03
Give autonomous teams a common operating frame
Visually localize autonomous swarms and human-machine teams in a shared coordinate frame for collaboration, deconfliction, and execution.
Integrate with UAS, UGV, and human-machine systems without replacing the autonomy or command stack.
What the aircraft sees and what the vehicle or operator sees resolve to the same coordinates. Relate aerial, ground, and human-operated views against a common spatial reference.
Estimate relative position and orientation across agents from a single observation.
Provide visual spatial context in GPS-denied or degraded environments.
We’re taking on design partners to shape the product.
Available for Authorized Government Customers
Niantic Spatial’s 3D Reconstruction and Visual Positioning System (VPS) solutions have been deemed Awardable through Chief Digital and Artificial Intelligence Office's (CDAO) Tradewinds Solutions Marketplace, IARPA Solutions Marketplace, Army Applications Laboratory DevX Autonomy Marketplace.
Talk to us
If this is a problem your customers face today, let’s set up a working session with our Product team to discuss potential applications: tactical-edge objective rehearsal, adversary UAV/UGV footage analysis, or swarm coordination.
Frequently Asked Questions
01What drones and sensors does reconstruction work with?
Reconstructions are built from sparse RGB and IR captures from your own small UAS.
02Does reconstruction require network connectivity?
No. The reconstruction is generated on self-contained compute at the staging site, without network reachback, and can be walked and measured before mission execution.
03What reference data is needed to localize recovered footage?
Intercepted or recovered footage is localized frame by frame against geo-registered 3D models. The mapping flights your platforms already fly build the reference.
04Does localization work when GPS is jammed or unavailable?
Yes. Visual localization provides spatial context in GPS-denied or degraded environments, and can estimate relative position and orientation across agents from a single observation.
05Does it replace our autonomy or command stack?
No. It is a positioning layer that integrates with UAS, UGV, and human-machine systems without replacing the autonomy or command stack.
06How can government customers procure these capabilities?
Niantic Spatial’s 3D Reconstruction and Visual Positioning System (VPS) solutions have been deemed Awardable through the CDAO Tradewinds Solutions Marketplace, the IARPA Solutions Marketplace, and the Army Applications Laboratory DevX Autonomy Marketplace.