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01 PERCEIVE
Trust-Calibrated Predictive Multi-Sensor Fusion
Fuse heterogeneous observations while reducing the influence of degraded or deceptive sources and preserving confidence-aware track continuity.
Research question
What does the system preserve when conditions become uncertain?
What the lab exposes
- Trust-weighted source contribution
- Predictive continuity through dropout
- Baseline comparison under deception
Method
Interactive, synthetic, inspectable.
The laboratory is preserved as a focused standalone experiment so its controls, visualizations, scenario logic, and evidence remain intact. Open it in a separate tab for the complete interactive surface.