Research on Rapid Parameterized Modeling of CityEngine in the Application of Smart Campus Platform

• Published in: E3S web of conferences Vol. 512; p. 1027
• Main Author: Liu, Xinyu
• Format: Journal Article
• Language: English
• Published: EDP Sciences 01.01.2024
• ISSN: 2267-1242; 2267-1242
• DOI: 10.1051/e3sconf/202451201027

Currently, government departments in various regions are vigorously promoting the construction of smart cities. As a part of smart cities, quickly obtaining or creating three-dimensional spatial models of campuses is an important part of the basic framework of smart campus construction. Existing modeling methods have problems such as low modeling efficiency and difficult maintenance in the later stage. This article proposes a CGA (Computer Generated Architecture) parameterized 3D modeling method based on CityEngine, exploring the parameterized modeling rules of important modeling entities such as roads and buildings in university campuses. By expanding and customizing the modeling rules, campus road and building modeling rule templates are created. The results showed that the proposed method and texture mapping rules were used to achieve fast and accurate 3D scene modeling of the campus, avoiding a lot of repetitive modeling work and improving the efficiency of modeling work.