In order to scale back the life cycle costs of an establishment from construction maintenance, it is very effective monitor structural health a structure. At present, maintenance and integrity checks on structure require personnel entry into normally inaccessible areas perform necessary non-destructive inspections. This paper discusses implementation budgeted, battery-powered based collision av...

With the difficulty of collecting desirable training data due to heterogeneities IoT sensors in various buildings and scarcity fire events, it is time consuming expensive apply data-driven deep learning approaches detection systems specific building environments. Simulation-based has been actively researched mitigate problems by reproducing potential events. Since simulation-based mainly depend...

Effective separation of buildings from trees is a major challenge in image-based automatic building detection. This paper presents a three-step method for effective separation of buildings from trees using aerial imagery and LIDAR data. Firstly, it uses cues such as height to remove objects of low height such as bushes, and width to exclude trees with small horizontal coverage. The height thres...

This paper describes an approach to building extraction using Digital Surface Models (DSM) as input data. The approach consists of building detection and reconstruction using parametric and prismatic building models. The main focus is on the extraction of roof structures, an extension of the previously published work, as first step towards the extraction of polyhedral building descriptions in o...

This paper addresses the problem of building detection in high-resolution (1m) images and proposes an Active Contour Model as one of the solutions to ease the problem. In building segmentation, it is important to identify approximated building regions, i.e., the regions where buildings are likely to exist. Once the approximated building regions are identified, the problem of building extraction...