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

共 50 条

[21] Reference Architecture for AI-based Urban Heritage Preservation Risks Monitoring Tool
Fomin, V. Vladislav
Putrimas, Marius
Ziziunas, Tadas
Lauzikas, Rimvydas
BALTIC JOURNAL OF MODERN COMPUTING, 2022, 10 (02): : 142 - 158
[22] MONITORING DEVICE FOR USE WITH AN X-RAY DIFFRACTION CYLINDRICAL CAMERA
AHMED, MS
JOURNAL OF SCIENTIFIC INSTRUMENTS, 1952, 29 (05): : 163 - 164
[23] Occupant migration monitoring in residential buildings with the use of a depth registration camera
Dziedzic, Jakub
Yan, Da
Novakovic, Vojislav
10TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATION AND AIR CONDITIONING, ISHVAC2017, 2017, 205 : 1193 - 1200
[24] Towards a Real-Time and Energy-Efficient Edge AI Camera Architecture in Mega Warehouse Environment
Asai, Yusuke
Mori, Yuki
Higashiura, Keisuke
Yokoyama, Kodai
Katayama, Shin
Urano, Kenta
Yonezawa, Takuro
Kawaguchi, Nobuo
2024 IEEE 3RD REAL-TIME AND INTELLIGENT EDGE COMPUTING WORKSHOP, RAGE 2024, 2024, : 12 - 17
[25] Towards FAIR Explainable AI: a standardized ontology for mapping XAI solutions to use cases, explanations, and AI systems
Adhikari, Ajaya
Wenink, Edwin
van der Waa, Jasper
Bouter, Cornelis
Tolios, Ioannis
Raaijmakers, Stephan
PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2022, 2022, : 562 - 568
[26] Smart Camera Traps: Enabling Energy-Efficient Edge-AI for Remote Monitoring of Wildlife
Tulasi, Dhruv
Granados, Alys
Gunawardane, Prabath
Kashyap, Abhay
McDonald, Zara
Thulasidasan, Sunil
PROCEEDINGS OF THE 1ST ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON AI-DRIVEN SPATIO-TEMPORAL DATA ANALYSIS FOR WILDLIFE CONSERVATION, GEOWILDLIFE 2023, 2021, : 9 - 16
[27] Monitoring Vehicle Pollution and Fuel Consumption Based on AI Camera System and Gas Emission Estimator Model
Rodriguez Valido, Manuel
Gomez-Cardenes, Oscar
Magdaleno, Eduardo
SENSORS, 2023, 23 (01)
[28] Damage Mapping in Structural Health Monitoring Using a Multi-Grid Architecture
Mathews, V. John
41ST ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOL 34, 2015, 1650 : 1247 - 1255
[29] A Novel Architecture of Smart Camera
Xiu Xiaoyu
Zhou Guohui
MANUFACTURING PROCESS AND EQUIPMENT, PTS 1-4, 2013, 694-697 : 1953 - 1957
[30] Monitoring of flood embankments with the use of tomographic systems with distributed architecture
Rymarczyk, Tomasz
Cieplak, Tomasz
Tchorzewski, Pawel
Klosowski, Grzegorz
Sikora, Jan
PRZEGLAD ELEKTROTECHNICZNY, 2018, 94 (12): : 170 - 173

← 1 2 3 4 5 →