CARLA ? C-Shenron based Simualtor for Sensor data generation.

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RUSHIL AMBARISH KADU 0f9d3d68b0 feat(radar): iteration 16 - refined physics & resolution independence Implemented a major architectural refactor of the C-SHENRON radar engine to achieve physically stable, context-independent detections. 1. Physics Engine Refactor (Iteration 16): - Sceneset.py: Replaced global 1/N normalization with a fixed Area-Density Integration model. This prevents Energy Starvation where buildings previously suppressed car detections. - Gaussian Damping: Integrated a 20 deg vertical beamwidth profile to physically suppress tree-top clutter while preserving boresight targets. - ConfigureRadar.py: Standardized hardware profiles with calibrated 110dB gain and removed Iteration 15 bandages. 2. Repository Reorganization: - Moved analysis and verification scripts to a new scripts/analysis/ directory. - Updated path resolution in moved scripts to ensure project-wide stability. 3. Documentation & Metrology: - Created 3D vertical energy suppression.md detailing the Resolution Independence breakthrough. - Updated Shenron_debug.md with Iterations 14-16, recording a +234% Target Magnitude recovery. - Updated Shenron_Debug_Plan.md and possible_issue_resolution.md to reflect resolved technical blockers.		1 month ago
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context.md	docs(intel): Finalize document organization and AI navigation roadmap	2 months ago
old_implement.md	feat(intel): Reorganize documentation and stabilize radar physics baseline	2 months ago