Research on key technologies of UAV oblique photography and SLAM in surveying and mapping for the preservation of ancient buildings

Kun Gou; Xiwei Li; Gang Wang; Yang Chen

doi:10.1117/12.3048994

27 November 2024 Research on key technologies of UAV oblique photography and SLAM in surveying and mapping for the preservation of ancient buildings

Kun Gou, Xiwei Li, Gang Wang, Yang Chen

Author Affiliations +

Proceedings Volume 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024); 1340213 (2024) https://doi.org/10.1117/12.3048994
Event: International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 2024, Zhengzhou, China

Abstract

This study focuses on a Tibetan Buddhist temple as the research subject and employs UAV oblique photography and SLAM technology for mapping and preserving ancient buildings. By acquiring oblique photography data of the historical structures, along with indoor and outdoor point cloud data, we integrate UAV oblique photography with ground laser point cloud fusion modeling to rectify missing image point clouds in the oblique photography model, resulting in a high-precision three-dimensional oblique model. Through precise measurement of feature points and side lengths of the ancient buildings, which are compared with the accuracy of the three-dimensional model achieved at centimeter-level precision, this study significantly contributes to the conservation of ancient architecture. The primary objective is to explore innovative technical approaches for proactive protection, architectural mapping, and restoration.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kun Gou, Xiwei Li, Gang Wang, and Yang Chen "Research on key technologies of UAV oblique photography and SLAM in surveying and mapping for the preservation of ancient buildings", Proc. SPIE 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 1340213 (27 November 2024); https://doi.org/10.1117/12.3048994

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