Control of assets plays a pivotal role in the success of architecture projects, often incurring significant expenses in preserving and revising asset data. This process of information acquiring is particularly time-intensive during the creation of a system for Control of asset. To address the challenges of a timeframe as well as expenses associated with information acquisition, the given study introduces a cost-effective System for mobile mapping (MMS) that integrates a laser scanner and cameras. The research begins by evaluating the suitability of inexpensive sensory devices for creating an inventory of 3D assets through the development of appropriate sensor models. It then outlines the calibration processes needed to determine the alignment of the GPS (Global Positioning System) antenna, cameras, laser scanner, and Inertial Measurement Unit (IMU). Using the developed sensor models, the system generates geo-referenced images and 3D point clouds. The quality of the collected information is validated, and a framework is proposed for extracting road assets, employing both automated and manual methods.