Simulation of Urban Area Mapping and Classification System Using a 3D Camera in MATLAB

Abstract

A methodology for efficiently capturing images of urban areas, specifically US city block scenes generated from the Unreal Engine, through the strategic planning of UAV flight paths. The process leverages the capabilities of the Unmanned Aerial Vehicles (UAV) toolbox to enable precise flight path planning. Subsequently, the acquired images undergo comprehensive processing and integration using a combination of MATLAB toolboxes, including Simulink, Image Processing Toolbox, and Computer Vision Toolbox. In this paper ultimate goal is to create an integrated map of the urban area. Furthermore, this paper demonstrates how to categorize the desired urban region effectively, employing the powerful features provided by the aforementioned MATLAB toolboxes.