Final Presentation NAVISP EL1-104 bis "AI for Anomaly Detection in Multi-Sensor PNT"
Start date: 20/10/2026 10:00
End date: 20/10/2026 11:30
The main objective of this project is to develop an anomaly detection framework specifically tailored for Nitrogen-Vacancy (NV) quantum sensor systems in Position, Navigation, and Timing (PNT) applications. This framework will fuse data from both quantum and classical sensors, with particular attention to detecting inherent quantum sensor anomalies. The system will employ AI-driven methodologies to process and analyse multi-sensor data streams, aiming to outperform conventional machine learning approaches in PNT applications.
The technical implementation consists of three main phases:
1. Simulation environment development
2. Hardware integration and sensor fusion
3. Adaptive sensor fusion algorithm
This activity was fully funded under NAVISP Element 1, which aims to advance European innovation in Positioning, Navigation and Timing. Please check the agenda and register for the event to learn more about this project.
The technical implementation consists of three main phases:
1. Simulation environment development
2. Hardware integration and sensor fusion
3. Adaptive sensor fusion algorithm
This activity was fully funded under NAVISP Element 1, which aims to advance European innovation in Positioning, Navigation and Timing. Please check the agenda and register for the event to learn more about this project.