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.
Use of Camera and AI for Mapping Monitoring for Architecture / Falcone, M.; Napolitano Dell'Annunziata, G.. - In: NEXUS NETWORK JOURNAL. - ISSN 1590-5896. - 25:S1(2023), pp. 423-429. [10.1007/s00004-023-00733-0]
Use of Camera and AI for Mapping Monitoring for Architecture
Falcone M.;Napolitano Dell'Annunziata G.
2023
Abstract
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.File in questo prodotto:
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