Abstract
Abstract. Increasing urbanisation, changes in land use (e.g., more impervious area) and climate change have all led to an increasing frequency and severity of flood events and increased socio-economic impact. In order to deploy an urban flood disaster and risk management system, it is necessary to know what the consequences of a specific urban flood event are to adapt to a potential event and prepare for its impact. Therefore, an accurate socio-economic impact assessment must be conducted. Unfortunately, until now, there has been a lack of data regarding the design and construction of flood-prone building structures (e.g., locations and dimensions of doors and door thresholds and presence and dimensions of basement ventilation holes) to consider when calculating the flood impact on buildings. We propose a pipeline to detect the dimension and location of doors and windows based on mobile LiDAR data and 360° images. This paper reports on the current state of research in the domain of object detection and instance segmentation of images to detect doors and windows in mobile LiDAR data. The use and improvement of this algorithm can greatly enhance the accuracy of socio-economic impact of urban flood events and, therefore, can be of great importance for flood disaster management.
Highlights
For a variety of applications, like the evaluation of the effect of design, various construction methods, and engineering applications on the damage due to flood events, flood damage and risk assessment would benefit from the consideration of the distinctiveness of buildings [1]
2.1 Data Preparation some research is conducted on running object detection and semantic segmentation on panorama images, in most scientific studies, spherical images are first converted into a less distorted format. 360° spherical panorama images are converted to cube boxes via the so-called cube mapping process
The point cloud of the mobile mapping has an accuracy between 1 to 2 cm, which means that the extracted location and dimensions of doors, windows and door thresholds will be accurate enough to use in flood risk assessment studies [44]
Summary
For a variety of applications, like the evaluation of the effect of (architectural) design, various construction methods, and engineering applications on the damage due to flood events, flood damage and risk assessment would benefit from the consideration of the distinctiveness of buildings [1]. In such an effective case-by-case analysis of damage to a building at micro level, building components that resist against flood impacts and are unique to each building need to be taken into account [2]. As a result of these openings, the flood water reaches equal levels on all sides of the construction and lessen the potential for damage caused by a difference in hydrostatic loads on opposite sides of the structure
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
