A Streamlit dashboard for reviewing LiDAR, camera, radar, and fused sensor captures, tracking spatial anomalies, scoring point density and sync quality, monitoring occlusion, and identifying labeling or recollection needs in self-driving data operations.
- Log new sensor reviews in the UI
- Upload CSV support
- Filter by review date, city, route, modality, severity, status, and reviewer
- Point density, sync quality, and occlusion tracking
- Spatial / sensor anomaly analysis
- Modality review chart
- Priority queue for high, critical, escalated, or recollection-needed reviews
- Route summary table
- Download filtered CSV exports
- Sample data fallback for testing
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
streamlit run app.py