Static characterization of sensor fusion systems

This study focuses on integrating distance measurement technologies to enhance infrastructure management and development. We propose a sensor fusion system that combines a image sensor and a distance sensor aligned on the same optical axis. Using a special spectral prism, the system separates incident light into visible and near-infrared components, perfectly aligning the image (RGB) and distance (ToF) data to capture real-time phenomena. This reduces the need for complex calibration. In this study, we performed a static characterization of the depth data using targets with known characteristics. Future research will explore the combination of imaging and ranging systems for practical applications in infrastructure.