Research on automatic 3D modeling of street lamps based on 3DMax

Quanzhe Zhao; Xiaochen Shan; Yu Meng

doi:10.1117/12.3011373

8 November 2023 Research on automatic 3D modeling of street lamps based on 3DMax

Quanzhe Zhao, Xiaochen Shan, Yu Meng

Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 129230U (2023) https://doi.org/10.1117/12.3011373
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China

Abstract

With the rapid development of urban modernization, the management of road ancillary facilities is more scientific and systematic. As an important part of road ancillary facilities, street lamps have the characteristics of large quantity, unified specification and discrete distribution. How to quickly 3D the large number of two-dimensional component data is a research hotspot at present. In view of the shortcomings of low efficiency, high cost and low precision of traditional manual 3D modeling, when carrying out the real 3D project of Shanghai Road, the company proposes a 3D automatic modeling method of urban road street lamp based on 3DMax. Firstly, different types of street lamp models are established in 3DMax, and then the two-dimensional vector data provided by road collection are screened through script program to determine the attribute information such as the size and direction of street lamps. Finally, the batch automatic modeling of street lamps in corresponding positions is realized. After the project test, the automatic modeling method is compared with the manual modeling method. The results show that the automatic modeling method improves the modeling efficiency, saves the cost, and can ensure the integrity of road ancillary facilities data.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Quanzhe Zhao, Xiaochen Shan, and Yu Meng "Research on automatic 3D modeling of street lamps based on 3DMax", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 129230U (8 November 2023); https://doi.org/10.1117/12.3011373

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