Current Status

Current Status

Current Status

What We Did

The project was reviewed and split into two realities:

  1. the old mixed repo,
  2. the new clean implementation built around Project v1.

Completed so far

  1. reviewed the old repository and documented strengths and weaknesses,
  2. created Reviews/Review V1-0,
  3. created Plans/Plan V1-0 for the clean restart,
  4. created Plans/Plan V1-1 for multimodal fusion,
  5. created Project v1 as the clean implementation directory,
  6. built a modular radar simulation package,
  7. added scenario config files,
  8. added a runner for predefined scenarios,
  9. retained the radar and audio notebooks under ~/dev/python/HDDS2/Notebooks,
  10. added the cleaned audio inference package in Project v1/src/audio,
  11. aligned the audio runtime to drone_thesis_audio_training.ipynb,
  12. updated the sound paper and current documentation to point to drone_sound_model.h5.

Current Implementation In Project v1

Main implemented areas now include:

  1. waveform generation,
  2. channel simulation,
  3. geometry conversions,
  4. range-Doppler processing,
  5. CA-CFAR detection,
  6. plotting,
  7. scenario running,
  8. TUI-based custom radar scenario input,
  9. offline audio inference on video files through audio.video_test.

Important Files In The Repo

Repository-side notes and plans:

  • ~/dev/python/HDDS2/Review/Review V1-0.md
  • ~/dev/python/HDDS2/Plans/Plan V1-0.md
  • ~/dev/python/HDDS2/Plans/Plan V1-1.md

Current audio implementation:

  • ~/dev/python/HDDS2/Notebooks/drone_thesis_audio_training.ipynb
  • ~/dev/python/HDDS2/Project v1/src/audio/drone_sound_model.h5
  • ~/dev/python/HDDS2/Project v1/src/audio/video_test.py
  • ~/dev/python/HDDS2/Project v1/configs/audio.yaml

What Is Still Missing

  1. end-to-end validation in a dependency-complete environment,
  2. stronger radar temporal confirmation,
  3. vision module cleanup and integration,
  4. documented audio validation metrics on representative clips,
  5. temporal synchronization across modalities,
  6. fused decision logic,
  7. ablation experiments.

What Is Next

Immediate next execution order:

  1. install and test Project v1 locally,
  2. validate audio.video_test on labeled sample videos,
  3. tune radar-only baseline,
  4. add radar tracking / M-N confirmation,
  5. add vision branch,
  6. implement fusion.

Linked Notes

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