Automatic generation of architecture drawings from point clouds

IF 8.5 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2024-07-07 DOI:10.1111/mice.13302

Fengyu Zhang, Qingzhao Kong, Cheng Yuan, Peizhen Li

引用次数: 0

Abstract

Traditional methods for producing architectural drawings require extensive manual labor. This paper proposes an automated method for generating a comprehensive set of three-view drawings, including the standardized labeling of doors and annotation of dimensions and areas. The output drawings are software-readable and editable, and the method is applicable to intricate structures with non-orthogonal or curved walls. To fully validate the accuracy of the proposed method, two distinct building scenarios were selected for experimentation.

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根据点云自动生成建筑图纸

传统的建筑图纸绘制方法需要大量的手工劳动。本文提出了一种自动生成全套三视图的方法，包括门的标准化标注以及尺寸和面积的注释。输出的图纸可由软件读取和编辑，该方法适用于非正交或弯曲墙壁的复杂结构。为了充分验证建议方法的准确性，我们选择了两种不同的建筑场景进行实验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer-Aided Civil and Infrastructure Engineering 工程技术-工程：土木

CiteScore

17.60

自引率

19.80%

发文量

146

审稿时长

1 months

期刊介绍： Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.