Our Technology
Synthetic sensor data for perception development
Perception systems are safety critical but are difficult to develop because of their impact on the rest of the AV stack, the complexity of on-road testing, and a near infinite number of scenarios that an autonomous vehicle could encounter in the real world.
Many of the world’s most advanced autonomy programs use Spectral to generate synthetic sensor data, which enables them to reliably train, test, and validate their perception systems in any scenario or environment of interest.

Validated models of the cutting-edge sensors enable Spectral to generate high-fidelity synthetic camera, lidar, and radar data.

Procedurally generated 3D environments empower teams to generate synthetic data that directly matches their operational design domain (ODD).
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Programmatically generated ground truth labels facilitate model training and evaluation without the hassle or error associated with manually generated labels.