Benefits of sensor integration and data fusion in CBRN agents measurements

Woloszczuk, K.*; Maik, P.*; Safronov, A.*; Wieczorek, A.*; 森下 祐樹   ; 眞田 幸尚   ; Szklarski, L.*

Woloszczuk, K.*; Maik, P.*; Safronov, A.*; Wieczorek, A.*; Morishita, Yuki; Sanada, Yukihisa; Szklarski, L.*

In an era of rapidly evolving Chemical, Biological, Radiological and Nuclear (CBRN) threats, integrated detection systems using real-time data fusion are increasingly essential for public safety. This article examines how sensor integration enhances the accuracy and timeliness of CBRN measurements, focusing on radiological detection as a representative case. Through literature review, prototype development and laboratory evaluations in an accredited facility, the study shows that combining multiple sensor outputs-such as dose-rate data and gamma spectra-reduces false positives and improves situational awareness for first responders. The results highlight the value of modular system architectures that unify heterogeneous sensor data into standardised formats, supporting faster decision-making at both tactical and command levels. Advanced calibration, real-time processing and peak-detection algorithms further enhance measurement reliability across a wide dose range. Providing concise, context-relevant data to on-site teams while retaining richer datasets for strategic use also helps prevent cognitive overload during emergencies. These outcomes form a basis for extending the integrated framework to other CBRN agents and for scaling to complex real-world environments.