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

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Simulator/scripts/ISOLATE

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RUSHIL AMBARISH KADU 05f9d181e1 feat(radar): recalibrate visualization engine for high-fidelity diagnostics Restores sharp target peaks and improves signal clarity in Shenron radar outputs by optimizing windowing functions and disabling smoothing-heavy interpolation. - radar_processor.py: Switched windowing from Hann to Blackman-Harris for range and velocity processing to achieve deeper sidelobe rejection (-92 dB) and suppress horizontal artifacts. - test_shenron.py: Replaced 'bicubic' interpolation with 'nearest' for Range-Doppler (RD) and CFAR maps to restore diagnostic clarity and prevent target blurring. - config.yaml: Removed hardcoded RD plot limits (xRange/yRange) to ensure the renderer utilizes the true physical axis (e.g., ±26.8 m/s) derived from hardware specs. - Added technical comments explaining the trade-off between main-lobe width and dynamic range in the new DSP windowing.		2 weeks ago
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e2e_agent_sem_lidar2shenron_package	feat(shenron): gain recalibration and visualization stability	2 weeks ago
sim_radar_utils	feat(radar): recalibrate visualization engine for high-fidelity diagnostics	2 weeks ago
model_wrapper.py	feat(shenron): Physics audit, azimuth metrology & pipeline stability	2 weeks ago