{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T23:24:43Z","timestamp":1770679483181,"version":"3.49.0"},"reference-count":21,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2024,1,3]],"date-time":"2024-01-03T00:00:00Z","timestamp":1704240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Point clouds are considered one of the fundamental pillars for representing the 3D digital landscape [...]<\/jats:p>","DOI":"10.3390\/s24010283","type":"journal-article","created":{"date-parts":[[2024,1,3]],"date-time":"2024-01-03T05:50:38Z","timestamp":1704261038000},"page":"283","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Intelligent Point Cloud Processing, Sensing, and Understanding"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1125-9299","authenticated-orcid":false,"given":"Miaohui","family":"Wang","sequence":"first","affiliation":[{"name":"Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518052, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6761-8767","authenticated-orcid":false,"given":"Guanghui","family":"Yue","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen 518037, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4720-4102","authenticated-orcid":false,"given":"Jian","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Communications and Information Engineering, Nanjing University of Post and Telecommunications, Nanjing 210042, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8289-5968","authenticated-orcid":false,"given":"Sukun","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Stomatology, Peking University, Beijing 100081, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"110085","DOI":"10.1016\/j.buildenv.2023.110085","article-title":"Quantifying the effects of 2D\/3D urban landscape patterns on land surface temperature: A perspective from cities of different sizes","volume":"233","author":"Xu","year":"2023","journal-title":"Build. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1038\/s41586-021-03259-y","article-title":"A universal 3D imaging sensor on a silicon photonics platform","volume":"590","author":"Rogers","year":"2021","journal-title":"Nature"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1109\/JETCAS.2018.2885981","article-title":"Emerging MPEG standards for point cloud compression","volume":"9","author":"Schwarz","year":"2018","journal-title":"IEEE J. Emerg. Sel. Top. Circuits Syst."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1007\/s11831-019-09320-4","article-title":"Computational methods of acquisition and processing of 3D point cloud data for construction applications","volume":"27","author":"Wang","year":"2020","journal-title":"Arch. Comput. Methods Eng."},{"key":"ref_5","first-page":"100712","article-title":"A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops","volume":"26","author":"Amarasingam","year":"2022","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"6707","DOI":"10.1109\/TIP.2022.3203213","article-title":"C2FNet: A coarse-to-fine network for multi-view 3D point cloud generation","volume":"31","author":"Lei","year":"2022","journal-title":"IEEE Trans. Image Process."},{"key":"ref_7","first-page":"5407612","article-title":"A Robust Multispectral Point Cloud Generation Method Based on 3D Reconstruction from Multispectral Images","volume":"62","author":"Wang","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.autcon.2017.09.021","article-title":"Point cloud quality requirements for Scan-vs-BIM based automated construction progress monitoring","volume":"84","author":"Rebolj","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"13749","DOI":"10.1109\/TPAMI.2023.3296509","article-title":"Surface Geometry Processing: An Efficient Normal-based Detail Representation","volume":"45","author":"Xie","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"101501","DOI":"10.1016\/j.aei.2021.101501","article-title":"3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review","volume":"51","author":"Mirzaei","year":"2022","journal-title":"Adv. Eng. Inform."},{"key":"ref_11","first-page":"1","article-title":"A Task-Driven Scene-Aware LiDAR Point Cloud Coding Framework for Autonomous Vehicles","volume":"1","author":"Sun","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Pomerleau, F., Colas, F., and Siegwart, R. (2015). A Review of Point Cloud Registration Algorithms for Mobile Robotics, Now Publishers Foundations and Trends\u00ae in Robotics.","DOI":"10.1561\/9781680830255"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"022082","DOI":"10.1088\/1742-6596\/1237\/2\/022082","article-title":"An overview of augmented reality technology","volume":"1237","author":"Chen","year":"2019","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"9151","DOI":"10.1080\/01431161.2010.550645","article-title":"An approach to classification of airborne laser scanning point cloud data in an urban environment","volume":"32","author":"Alexander","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3412","DOI":"10.1109\/TNNLS.2020.3015992","article-title":"Deep learning for LiDAR point clouds in autonomous driving: A review","volume":"32","author":"Li","year":"2020","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4338","DOI":"10.1109\/TPAMI.2020.3005434","article-title":"Deep learning for 3D point clouds: A survey","volume":"43","author":"Guo","year":"2020","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Huang, Z., Yu, Y., Xu, J., Ni, F., and Le, X. (2020, January 13\u201319). Pf-net: Point fractal network for 3d point cloud completion. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA.","DOI":"10.1109\/CVPR42600.2020.00768"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Huang, R., and Wang, M. (2023, January 22\u201324). Patch-Wise LiDAR Point Cloud Geometry Compression Based on Autoencoder. Proceedings of the International Conference on Image and Graphics (ICIG), Nanjing, China.","DOI":"10.1007\/978-3-031-46311-2_25"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Ma, B., Liu, Y.S., Zwicker, M., and Han, Z. (2022, January 18\u201324). Surface reconstruction from point clouds by learning predictive context priors. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA.","DOI":"10.1109\/CVPR52688.2022.00622"},{"key":"ref_20","unstructured":"Zhou, Y., Sun, P., Zhang, Y., Anguelov, D., Gao, J., Ouyang, T., Guo, J., Ngiam, J., and Vasudevan, V. (2020, January 16\u201318). End-to-end multi-view fusion for 3D object detection in lidar point clouds. Proceedings of the Conference on Robot Learning (CoRL), Virtual."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1080\/10095020.2023.2175478","article-title":"Progress and perspectives of point cloud intelligence","volume":"26","author":"Yang","year":"2023","journal-title":"Geo-Spat. Inf. Sci."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/1\/283\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:38:54Z","timestamp":1760103534000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/1\/283"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,3]]},"references-count":21,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,1]]}},"alternative-id":["s24010283"],"URL":"https:\/\/doi.org\/10.3390\/s24010283","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,3]]}}}