Future environment mapping

Secure local spaces
for BLE spatial context.

DarkDar’s LiDAR roadmap will let supported iPhone and iPad devices capture room geometry, define private local environments, and overlay BLE behavior onto physical context.

LiDAR roadmap

Map the room before interpreting the signal.

Live capture

LiDAR-capable iPhone and iPad devices can become premium field capture clients using ARKit and scene reconstruction where hardware supports it.

Point-cloud import

Desktop and browser review surfaces can import captured or external point clouds for alignment, replay, and analysis.

Zone modeling

Rooms, doors, hallways, walls, safe zones, alert zones, collector positions, and RF-obstruction notes can be modeled locally.

Uncertainty volumes

BLE targets should be rendered as probability volumes or bounding regions when RF and geometry disagree.

Spatial pipeline

Capture or import, normalize, downsample, index, overlay.

Capture

Use LiDAR-capable iOS or iPadOS hardware for live room capture, or import supported point-cloud files.

Normalize

Convert coordinates to meters, align the origin, and preserve a local-only environment profile.

Voxelize

Default to 0.05 meter voxel downsampling, configurable between 0.02 and 0.10 meters.

Index

Use Octree or BVH indexing for spatial queries, occlusion hints, and attenuation context.

Overlay

Render target estimates, trails, zones, and probability volumes inside the mapped local environment.

Supported import path

Start narrow and dependable.

The implementation-ready path starts with .ply, .las, and .pcd, then expands to additional formats after the core import, decimation, alignment, and replay workflow is stable.