# SLAM 3D map

**Workload class:** 3D mapping and **SLAM** from sensor submissions — mesh fidelity, semantic structure, and agreement with ground truth where the subnet defines it.

Miners compete on reconstruction quality. **Sensor bundles** (camera, IMU, LiDAR, or other channels as required) are part of the PoPW record; validators score outputs **independently** of the operator who captured the data.

## Testnet

The public dashboard URL for this workload will be announced with the testnet release.

## Task shape (illustrative)

Tasks may request maps, reconstructions, semantic labeling, or comparison to held-out references, depending on subnet configuration. Use the live dashboard for the current fields and testKNX costs when URLs are published.

## Why this matters

3D and SLAM outputs support mine engineering, built-environment reviews, and industrial digital twins. Verifiable provenance matters: not only a convincing mesh, but evidence that data came from a real run aligned to a defined instruction.

## See also

* [ORB-SLAM3 & RTAB-Map](/supported-ai-models/orb-slam3.md) — reference SLAM / 3D mapping stacks
* [Subnets overview](/subnets-workload-classes/subnets.md)
* [Proof-of-Physical-Work](/understand-konnex/contracts-and-popw.md)


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