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Infrastructure management represents a critical economic milestone. The current decision-making process in infrastructure rehabilitation\udis essentially based on qualitative parameters obtained from visual inspections and subject to the ability of technicians. In order\udto increase both efficiency and productivity in infrastructure management, this work addresses the integration of different instrumentation\udand sensors in a mobile mapping vehicle. This vehicle allows the continuous recording of quantitative data suitable for roadside\udinspection. The geometric integration and synchronization of these sensors is achieved through hardware and/or software strategies\udthat permit the georeferencing of the data obtained with each sensor. In addition, a visualization software for simpler data management\udwas implemented using Qt framework, PCL library and C++. As a result, the developed system supports the decision-making in road\udinspection, providing quantitative information suitable for sophisticated analysis systems

SITEGI Project: Applying Geotechnologies to Road Inspection. Sensor Integration and software processing