Use of Camera and AI for Mapping Monitoring for Architecture

被引：0

作者：

Falcone, Marika ^{[1
]}

Dell'Annunziata, Guido Napolitano ^{[2
]}

机构：

[1] Univ Naples Federico II, Dept Architecture, Via Francesco Manzo, 53, I-80125 Naples, Italy

[2] Univ Naples Federico II, Dept Ind Engn, Via Paolo Valle, 20B, I-80125 Naples, Italy

来源：

NEXUS NETWORK JOURNAL | 2023年 / 25卷 / SUPPL 1期

关键词：

Cultural heritage; Damage detection; Low-cost sensors; Dynamic acquisition; Convolutional neural networks;

D O I：

10.1007/s00004-023-00733-0

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This research focuses on studying low-cost techniques for rapid mapping, utilizing sensors equipped on smartphones. These devices were installed on a radio-controlled vehicle to conduct an experimental campaign aimed at evaluating the performance of LiDAR sensor. By collecting data, machine learning algorithms were employed for the detection of architectural defects.

引用

页码：423 / 429

页数：7

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