- Expanded intel/internal/context.md with modern stage-based architecture and internal documentation structure.
- Corrected SNR calculation in model_wrapper.py by dividing out the CFAR threshold.
- Tuned CFAR threshold to 19dB for increased point cloud density.
- Integrated stop flag detection into PipelineManager and ShenronOrchestrator for graceful halting.
- Synchronized metrology gain offsets (-78.0dB) across production and testbench scripts.
- Added 'ti_cascade' support to default radar list and testbench visualization.
Established a common orchestration framework to eliminate logic
duplication between production data generation and the iterative
testbench.
Key changes:
- Created 'ShenronOrchestrator' in scripts/ISOLATE/shenron_orchestrator.py
to serve as the single source of truth for the processing loop.
- Refactored 'generate_shenron.py' to use the orchestrator, ensuring
production data benefit from research-level DSP improvements.
- Refactored 'test_shenron.py' to use the orchestrator, guaranteeing
that debug iterations are bit-identical to production outputs.
- Centralized LiDAR padding, model execution, and metrology/metric
serialization logic.
- Preserved Dashboard SSE telemetry patterns ([SHENRON_INIT/STEP])
to maintain full UI compatibility.
This restructuring ensures that any iterative changes made in the
'test_shenron' lab are automatically and safely inherited by the
Dashboard's automated simulation pipeline.
RUSHIL AMBARISH KADU