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Al-Kamil, S. J., & Szabolcsi, R. (2024). Enhancing Mobile Robot Navigation: Optimization of Trajectories through Machine Learning Techniques for Improved Path Planning Efficiency. Mathematics, 12(12), 1787. https://doi.org/10.3390/math12121787 Cite Download
Enhancing Mobile Robot Navigation: Optimization of Trajectories through Machine Learning Techniques for Improved Path Planning Efficiency. (n.d.). Retrieved June 20, 2025, from https://www.mdpi.com/2227-7390/12/12/1787 Cite
Keitaanniemi, A., Rönnholm, P., Kukko, A., & Vaaja, M. T. (2023). Drift analysis and sectional post-processing of indoor simultaneous localization and mapping (SLAM)-based laser scanning data. Automation in Construction, 147, 104700. https://doi.org/10.1016/j.autcon.2022.104700 Cite Download
Conti, A., Pagliaricci, G., Bonora, V., & Tucci, G. (2024). A COMPARISON BETWEEN TERRESTRIAL LASER SCANNING AND HAND-HELD MOBILE MAPPING FOR THE DOCUMENTATION OF BUILT HERITAGE. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-W4-2024, 141–147. https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-141-2024 Cite Download
Wang, J., Wang, L., Peng, P., Jiang, Y., Wu, J., & Liu, Y. (2023). Efficient and accurate mapping method of underground metal mines using mobile mining equipment and solid-state lidar. Measurement, 221, 113581. https://doi.org/10.1016/j.measurement.2023.113581 Cite
Trybała, P., Kasza, D., Wajs, J., & Remondino, F. (2023). COMPARISON OF LOW-COST HANDHELD LIDAR-BASED SLAM SYSTEMS FOR MAPPING UNDERGROUND TUNNELS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1-W1-2023, 517–524. https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-517-2023 Cite Download
Michiels, N., Jorissen, L., Put, J., Liesenborgs, J., Vandebroeck, I., Joris, E., & Van Reeth, F. (2024). Tracking and co-location of global point clouds for large-area indoor environments. Virtual Real., 28(2). https://doi.org/10.1007/s10055-024-01004-0 Cite Download
Otero, R., Lagüela, S., Garrido, I., & Arias, P. (2020). Mobile indoor mapping technologies: A review. Automation in Construction, 120, 103399. https://doi.org/10.1016/j.autcon.2020.103399 Cite
(PDF) Examination of Indoor Mobile Mapping Systems in a Diversified Internal/External Test Field. (2025). ResearchGate. https://doi.org/10.3390/app8030401 Cite Download
Treccani, D., Adami, A., Brunelli, V., & Fregonese, L. (2024). Mobile mapping system for historic built heritage and GIS integration: a challenging case study. Applied Geomatics, 16(1), 293–312. https://doi.org/10.1007/s12518-024-00555-w Cite Download
Campi, M., di Luggo, A., Monaco, S., Siconolfi, M., & Palomba, D. (2018). INDOOR AND OUTDOOR MOBILE MAPPING SYSTEMS FOR ARCHITECTURAL SURVEYS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII–2, 201–208. https://doi.org/10.5194/isprs-archives-XLII-2-201-2018 Cite Download
Zhang, K., & Fassi, F. (2025). Transforming Architectural Digitisation: Advancements in AI-Driven 3D Reality-Based Modelling. Heritage, 8(2), 81. https://doi.org/10.3390/heritage8020081 Cite Download
Li, F., Spettu, F., Achille, C., Vassena, G., & Fassi, F. (2024). The Role of Web Platforms in Balancing Sustainable Conservation and Development in Large Archaeological Site: the Naxos case study. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-W8-2024, 303–310. https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-303-2024 Cite Download
Perfetti, L., Vassena, G. P. M., Morandini, F., & Fassi, F. (2024). Photogrammetric digitisation of a bronze head – Surveying inside and outside for thickness measurement. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-W8-2024, 357–364. https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-357-2024 Cite Download
Mishra, M., Zhang, K., Mea, C., Barazzetti, L., Fassi, F., Fiorillo, F., & Previtali, M. (2024). Deep Learning-Based AI-Assisted Visual Inspection Systems for Historic Buildings and their Comparative Performance with ChatGPT-4O. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-W8-2024, 327–334. https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-327-2024 Cite Download
Elalailyi, A., Trybała, P., Morelli, L., Fassi, F., Remondino, F., & Fregonese, L. (2024). Pose Graph Data Fusion for Visual- and LiDAR-based Low-Cost Portable Mapping Systems. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-W8-2024, 147–154. https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-147-2024 Cite Download
Spettu, F., Achille, C., & Fassi, F. (2024). State-of-the-Art Web Platforms for the Management and Sharing of Data: Applications, Uses, and Potentialities. Heritage, 7(11), 6008–6035. https://doi.org/10.3390/heritage7110282 Cite Download
Li, F., Achille, C., Vassena, G. P. M., & Fassi, F. (2025). The Application of Three Dimensional Digital Technologies in Historic Gardens and Related Cultural Heritage: A Scoping Review. Heritage, 8(2), 46. https://doi.org/10.3390/heritage8020046 Cite Download
(N.d.). Cite
Cao, W., Liu, Q., & He, Z. (2020). Review of Pavement Defect Detection Methods. IEEE Access, 8, 14531–14544. https://doi.org/10.1109/ACCESS.2020.2966881 Cite Download
Prasanna, P., Dana, K., Gucunski, N., & Basily, B. (2012). Computer-vision based crack detection and analysis. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2012, 8345, 1143–1148. https://doi.org/10.1117/12.915384 Cite Download
Fan, Z., Li, C., Chen, Y., Wei, J., Loprencipe, G., Chen, X., & Di Mascio, P. (2020). Automatic Crack Detection on Road Pavements Using Encoder-Decoder Architecture. Materials, 13(13), 2960. https://doi.org/10.3390/ma13132960 Cite Download
Pavement Crack Detection Method Based on Deep Learning Models - Hu - 2021 - Wireless Communications and Mobile Computing - Wiley Online Library. (n.d.). Retrieved October 11, 2024, from https://onlinelibrary.wiley.com/doi/10.1155/2021/5573590 Cite
[2311.11815] CrackCLF: Automatic Pavement Crack Detection based on Closed-Loop Feedback. (n.d.). Retrieved October 11, 2024, from https://arxiv.org/abs/2311.11815 Cite Download
Review of Pavement Defect Detection Methods | IEEE Journals & Magazine | IEEE Xplore. (n.d.). Retrieved October 11, 2024, from https://ieeexplore.ieee.org/document/8960347 Cite
Review of Pavement Defect Detection Methods | IEEE Journals & Magazine | IEEE Xplore. (n.d.). Retrieved October 11, 2024, from https://ieeexplore.ieee.org/document/8960347 Cite
Review of Pavement Defect Detection Methods | IEEE Journals & Magazine | IEEE Xplore. (n.d.). Retrieved October 11, 2024, from https://ieeexplore.ieee.org/document/8960347 Cite
Review of Pavement Defect Detection Methods | IEEE Journals & Magazine | IEEE Xplore. (n.d.). Retrieved October 11, 2024, from https://ieeexplore.ieee.org/document/8960347 Cite
Review of Pavement Defect Detection Methods | IEEE Journals & Magazine | IEEE Xplore. (n.d.). Retrieved October 11, 2024, from https://ieeexplore.ieee.org/document/8960347 Cite
Saar, T., & Talvik, O. (2010). Automatic Asphalt pavement crack detection and classification using Neural Networks. 2010 12th Biennial Baltic Electronics Conference, 345–348. https://doi.org/10.1109/BEC.2010.5630750 Cite Download
Automatic Asphalt pavement crack detection and classification using Neural Networks | IEEE Conference Publication | IEEE Xplore. (n.d.). Retrieved October 11, 2024, from https://ieeexplore.ieee.org/document/5630750/figures#figures Cite
Spettu, F., Parri, S., Quaroni, P., Achille, C., & Fassi, F. (2024). TOWARDS MASTER DATA MANAGEMENT FOR CULTURAL HERITAGE: THE SACRI MONTI WEB PLATFORM. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-W4-2024, 421–428. https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-421-2024 Cite Download
Perfetti, L., Fassi, F., & Vassena, G. (2024). Ant3D—A Fisheye Multi-Camera System to Survey Narrow Spaces. Sensors, 24(13), 1–31. https://doi.org/10.3390/s24134177 Cite Download
Zhang, K., Mea, C., Fiorillo, F., & Fassi, F. (2024). CLASSIFICATION AND OBJECT DETECTION FOR ARCHITECTURAL PATHOLOGY: PRACTICAL TESTS WITH TRAINING SET. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-W4-2024(2), 477–484. https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-477-2024 Cite Download
Perfetti, L., Fassi, F., & Vassena, G. P. M. (2024). BUILT-IN LENS CORRECTION PROFILES IN LOW-COST CAMERAS: AN ISSUE FOR PHOTOGRAMMETRIC APPLICATIONS? INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES, XLVIII-2/W4-2024(2), 349–356. https://doi.org/10.5194/isprs-archives-xlviii-2-w4-2024-349-2024 Cite
Lei, Y., Fiorillo, F., & Fassi, F. (2024). 3D SURVEY POINT CLOUD DATA AS DIRECT RENDERING ASSETS FOR VISUALISING COMPLEX HERITAGE IN VIRTUAL APPLICATIONS. INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES, XLVIII-2/W4-2024(2), 279–286. https://doi.org/10.5194/isprs-archives-xlviii-2-w4-2024-279-2024 Cite
Spettu, F., Zhang, K., Elalailyi, A., Perfetti, L., Achille, C., & Fassi, F. (2024). Towards an Integrated Approach to the Digitization of Cultural Heritage: a Case Study from Survey to Information Management. ZHONGGUO WENHUA YICHAN, 2024–01, 17–26. Cite
Achille, C., Fassi, F., & Scaioni, M. (2023). Il Rilievo con laser scanner terrestre. In Building Information Modelling-strumenti (pp. 11–16). Sole 24 ore. Cite
Achille, C., Fiorillo, F., Rigamonti, B., Perossi, P., & Fassi, F. (2023). Heritage places and inclusive paths: responsibility and shared practices. Book of Conference Abstracts, 388–388. https://openarchive.icomos.org/id/eprint/2878/1/ICOMOS_ScSy2023_Book_of_Abstracts_v20230901.pdf Cite
Scaioni, M., Achille, C., & Fassi, F. (2023). La stazione totale: uno strumento all-in-one per il rilievo e il tracciamento topografico. In Building Information Modelling-strumenti (pp. 5–10). Sole 24 ore. Cite
Perfetti, L., Elalailyi, A., & Fassi, F. (2022). PORTABLE MULTI-CAMERA SYSTEM: FROM FAST TUNNEL MAPPING TO SEMI-AUTOMATIC SPACE DECOMPOSITION AND CROSS-SECTION EXTRACTION. INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES, XLIII-B2-2022(2–2022), 259–266. https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-259-2022 Cite Download
Achille, C., Ambrosi, C., Apuani, T., Bignami, D. F., Cannata, M., Castelletti, S., Ceriani, M., Fassi, F., Frattini, P., Lisignoli, G., Lualdi, M., Marotta, F., Perfetti, L., Pigazzi, E., Scapozza, C., & Spataro, A. (2022). Modelli digitali delle grandi frane alpine tra Italia e Svizzera. Conoscere il passato per comprendere il futuro. Geomatica per La Transizione Verde e Digitale, 1–8. Cite
Cao, Y., Teruggi, S., Fassi, F., & Scaioni, M. (2022). A Comprehensive Understanding of Machine Learning and Deep Learning Methods for 3D Architectural Cultural Heritage Point Cloud Semantic Segmentation. Geomatics for Green and Digital Transition, 1651, 329–341. https://doi.org/10.1007/978-3-031-17439-1_24 Cite
Achille, C., Fassi, F., Mandelli, A., Del Pero, C., Leonforte, F., & Aste, N. (2021). Designing remote places in the post-war and pandemic scenarios. Smart surveying of the gahayr campus in mogadishu. INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES, 46(M-1–2021), 1–8. https://doi.org/10.5194/isprs-Archives-XLVI-M-1-2021-1-2021 Cite
Fassi, F., Perfetti, L., & Parri, S. (2022). MULTI-CAMERA THREE-DIMENSIONAL CAPTURING AND RECONSTRUCTION SYSTEM. Cite
Russo, M., Grilli, E., Remondino, F., Teruggi, S., & Fassi, F. (2021). Machine Learning for Cultural Heritage Classification. In Augmented Reality and Artificial Intelligence in Cultural Heritage and Innovative Design Domain (pp. 209–214). FrancoAngeli. https://doi.org/10.3280/oa-686.33 Cite
Teruggi, S., & Fassi, F. (2021). Machines Learning for Mixed Reality: The Milan Cathedral from Survey to Holograms. In Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021 (pp. 613–627). Springer, Cham. https://doi.org/10.1007/978-3-030-68796-0_44 Cite
Teruggi, S., Grilli, E., Russo, M., Fassi, F., & Remondino, F. (2020). A Hierarchical Machine Learning Approach for Multi-Level and Multi-Resolution 3D Point Cloud Classification. REMOTE SENSING, 12(16), 1–27. https://doi.org/10.3390/rs12162598 Cite
Fassi, F. (2020). Reality-Based HBIM for the Management of Monumental Architectonic Heritage. 2019 - The 1st International Symposium on Digital Heritage: Convergence of Digital Humanities, 1, 1–24. Cite
Grilli, E., Teruggi, S., Fassi, F., Remondino, F., & Russo, M. (2020). Approccio gerarchico di machine learning per la segmentazione semantica di nuvole di punti 3D. BOLLETTINO DELLA SOCIETÀ ITALIANA DI FOTOGRAMMETRIA E TOPOGRAFIA, 1(1), 38–46. https://www.sifet.org/bollettino/index.php/bollettinosifet/article/view/2160 Cite Download

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