RAPTOR_V4
The JANUS Rapid Target Predictor (RAPTOR) enables rapid generation of synthetic target signatures to support time critical applications employing 3D CAD models as input. Industry-standard NVIDIA GPU-accelerated ray tracing is used to generate target predictions in EO, IR and SAR sensor modalities. The capability to rapidly generate synthetic target signature data over a broad range of geometries, illumination conditions, and target types helps mitigate issues with limited target data availability from real-world data collections in often anti-access/area denial (A2AD) regions. Combining synthetic target signatures with real-world data allows the user to rapidly generate large volumes of image scene data over a broad range of target types and conditions to support AI/ML network training, algorithm validation work, and trade studies.
Key Features
GPU-Accelerated Ray Tracing
Industry-standard NVIDIA GPU-accelerated ray tracing for rapid generation of synthetic target signatures across EO, IR, and SAR sensor modalities.
3D CAD Model Input
Employs 3D CAD models as input to generate target predictions over a broad range of geometries, illumination conditions, and target types.
AI/ML Training Support
Combines synthetic target signatures with real-world data to rapidly generate large volumes of image scene data for AI/ML network training, algorithm validation, and trade studies.
Proven Performance
Synthetic Signature Generation
Rapidly generates synthetic target signature data to mitigate limited target data availability from real-world collections in anti-access/area denial (A2AD) regions.
- Multi-Modality Support (EO/IR/SAR)
- Broad Geometry & Illumination Coverage
System_Parameters
Value_Proposition
Rapidly generate synthetic target signatures to overcome limited real-world data availability, supporting AI/ML training, algorithm validation, and trade studies across EO, IR, and SAR modalities.