Unity-Based Visualization and Analysis of Error Propagation in Multi-Sensor Imaging Systems
18th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2026, Bucharest, Romanya, 2 - 03 Temmuz 2026, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/ecai69016.2026.11613665
- Basıldığı Şehir: Bucharest
- Basıldığı Ülke: Romanya
- Anahtar Kelimeler: boresight analysis, error propagation, LOS deviation, multi-sensor systems, Unity simulation
- Gazi Üniversitesi Adresli: Evet
Özet
Multi-sensor imaging systems are widely used in defense, robotics, autonomous systems, and advanced perception applications. In such systems, maintaining accurate geometric alignment between sensors is critical for ensuring reliable system performance. However, mechanical tolerances, assembly imperfections, and environmental effects may introduce angular misalignments between sensors, leading to increasing Line-of-Sight (LOS) deviations and error propagation at the system level. Although existing studies mainly focus on calibration parameter estimation and alignment optimization, limited work has been conducted on intuitive and real-time visualization of angular alignment error propagation under varying scene conditions.In this study, a Unity-based interactive simulation framework is proposed for analyzing and visualizing angular alignment error propagation in multi-sensor imaging systems. The proposed environment models a master-slave camera configuration mounted on a shared mechanical structure, where angular offsets can be dynamically adjusted while the target scene distance is varied. Real-time LOS separation and propagated error metrics are calculated and visualized simultaneously, allowing observation of how small angular deviations evolve into significant scene-level divergences at long distances. Experimental analyses demonstrate that small angular offsets produce critical LOS separations as scene distance increases, with the propagation rate scaling significantly with the applied offset magnitude. The proposed framework also provides a preliminary decision-support mechanism for evaluating whether observed deviations can be corrected electronically through boresight compensation or require mechanical realignment. The presented approach offers an intuitive visualization-based analysis environment for understanding system-level error propagation in multi-sensor systems and provides a scalable foundation for future real-time augmented reality-assisted calibration and diagnostic applications.