{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:42:40Z","timestamp":1760488960300,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030584672"},{"type":"electronic","value":"9783030584689"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-58468-9_26","type":"book-chapter","created":{"date-parts":[[2020,8,30]],"date-time":"2020-08-30T23:04:02Z","timestamp":1598828642000},"page":"364-373","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Generating Synthetic Point Clouds of Sewer Networks: An Initial Investigation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8660-1672","authenticated-orcid":false,"given":"Kasper Sch\u00f8n","family":"Henriksen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8492-1274","authenticated-orcid":false,"given":"Mathias S.","family":"Lynge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9240-5360","authenticated-orcid":false,"given":"Mikkel D. B.","family":"Jeppesen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3212-0731","authenticated-orcid":false,"given":"Moaaz M. J.","family":"Allahham","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4952-8848","authenticated-orcid":false,"given":"Ivan A.","family":"Nikolov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0544-0422","authenticated-orcid":false,"given":"Joakim Bruslund","family":"Haurum","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7584-5209","authenticated-orcid":false,"given":"Thomas B.","family":"Moeslund","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,31]]},"reference":[{"key":"26_CR1","doi-asserted-by":"publisher","unstructured":"Bruls, T., Porav, H., Kunze, L., Newman, P.: Generating all the roads to rome: Road layout randomization for improved road marking segmentation. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 831\u2013838 (2019). https:\/\/doi.org\/10.1109\/ITSC.2019.8916785","DOI":"10.1109\/ITSC.2019.8916785"},{"key":"26_CR2","doi-asserted-by":"publisher","unstructured":"Bulczak, D., Lambers, M., Kolb, A.: Quantified, interactive simulation of AMCW ToF camera including multipath effects. Sensors 18(1), 13 (2018). https:\/\/doi.org\/10.3390\/s18010013","DOI":"10.3390\/s18010013"},{"key":"26_CR3","unstructured":"DTVK: TV-H, H\u00e5ndbog for TV-inspektion (2019)"},{"key":"26_CR4","unstructured":"ENST, EDF, Daniel Girardeau-Montaut: Cloud compare. http:\/\/www.cloudcompare.org\/. Accessed 01 Feb 2020"},{"key":"26_CR5","unstructured":"EnviDan: Envidan er med i nyt udviklingsprojekt, hvor robotter i kloakken vil spare samfundet for k\u00e6mpe millionbel\u00f8b! (2019). https:\/\/www.envidan.dk\/cases\/asir-udviklingsprojekt"},{"issue":"2","key":"26_CR6","doi-asserted-by":"publisher","first-page":"1931","DOI":"10.1109\/LRA.2020.2969927","volume":"5","author":"J Fang","year":"2020","unstructured":"Fang, J., et al.: Augmented lidar simulator for autonomous driving. IEEE Robot. Autom. Lett. 5(2), 1931\u20131938 (2020). https:\/\/doi.org\/10.1109\/LRA.2020.2969927","journal-title":"IEEE Robot. Autom. Lett."},{"key":"26_CR7","doi-asserted-by":"publisher","unstructured":"Gokturk, S.B., Yalcin, H., Bamji, C.: A time-of-flight depth sensor - system description, issues and solutions. In: 2004 Conference on Computer Vision and Pattern Recognition Workshop, p. 35 (2004). https:\/\/doi.org\/10.1109\/CVPR.2004.291","DOI":"10.1109\/CVPR.2004.291"},{"key":"26_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2016\/8742920","volume":"2016","author":"RA Hamzah","year":"2016","unstructured":"Hamzah, R.A., Ibrahim, H.: Literature survey on stereo vision disparity map algorithms. J. Sens. 2016, 1\u201323 (2016). https:\/\/doi.org\/10.1155\/2016\/8742920","journal-title":"J. Sens."},{"key":"26_CR9","doi-asserted-by":"publisher","unstructured":"Jans, R.M., Green, A.S., Koerner, L.J.: Characterization of a miniaturized IR depth sensor with a programmable region-of-interest that enables hazard mapping applications. IEEE Sens. J. 20, 1 (2020). https:\/\/doi.org\/10.1109\/JSEN.2020.2971595","DOI":"10.1109\/JSEN.2020.2971595"},{"key":"26_CR10","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/978-3-030-29930-9_8","volume-title":"Computer Analysis of Images and Patterns","author":"A Kamilaris","year":"2019","unstructured":"Kamilaris, A., van den Brink, C., Karatsiolis, S.: Training deep learning models via synthetic data: Application in unmanned aerial vehicles. In: Vento, M., Percannella, G., Colantonio, S., Giorgi, D., Matuszewski, B.J., Kerdegari, H., Razaak, M. (eds.) CAIP 2019. CCIS, vol. 1089, pp. 81\u201390. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-29930-9_8"},{"issue":"3","key":"26_CR11","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1109\/3.910448","volume":"37","author":"R Lange","year":"2001","unstructured":"Lange, R., Seitz, P.: Solid-state time-of-flight range camera. IEEE J. Quantum Electron. 37(3), 390\u2013397 (2001). https:\/\/doi.org\/10.1109\/3.910448","journal-title":"IEEE J. Quantum Electron."},{"key":"26_CR12","unstructured":"Oniga, E., SAVU, A., Negrila, A.: The evaluation of cloudcompare software in the process of tls point clouds registration. RevCAD J. Geodesy Cadastre 21, 117\u2013124 (2016)"},{"key":"26_CR13","unstructured":"pmd: Development kit brief camboard pico flexx. https:\/\/pmdtec.com\/picofamily\/wp-content\/uploads\/2018\/03\/PMD_DevKit_Brief_CB_pico_flexx_CE_V0218-1.pdf. Accessed 13 Dec 2019"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Prakash, A., Boochoon, S., Brophy, M., Acuna, D., Cameracci, E., State, G., Shapira, O., Birchfield, S.: Structured domain randomization: Bridging the reality gap by context-aware synthetic data. https:\/\/arxiv.org\/abs\/1810.10093 (2018). Accessed 28 Feb 2020","DOI":"10.1109\/ICRA.2019.8794443"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Rajendra, Y., et al.: Evaluation of partially overlapping 3d point cloud\u2019s registration by using ICP variant and cloudcompare (2014)","DOI":"10.5194\/isprsarchives-XL-8-891-2014"},{"key":"26_CR16","doi-asserted-by":"publisher","unstructured":"Ros, G., Sellart, L., Materzynska, J., Vazquez, D., Lopez, A.M.: The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3234\u20133243 (2016). https:\/\/doi.org\/10.1109\/CVPR.2016.352","DOI":"10.1109\/CVPR.2016.352"},{"key":"26_CR17","unstructured":"Rusinkiewicz, S., Levoy, M.: Efficient variants of the ICP algorithm (2001)"},{"key":"26_CR18","unstructured":"Sarbolandi, H., Lefloch, D., Kolb, A.: Kinect range sensing: Structured-light versus time-of-flight kinect (2015). https:\/\/arxiv.org\/abs\/1505.05459"},{"key":"26_CR19","doi-asserted-by":"publisher","first-page":"237","DOI":"10.5194\/isprs-archives-XLII-2-W8-237-2017","volume":"42","author":"M Sarker","year":"2017","unstructured":"Sarker, M., Ali, T., Abdelfatah, A., Yehia, S., Elaksher, A.: A cost-effective method for crack detection and measurement on concrete surface. Int. Arch. Photogrammetry Remote Sens. Spat. Inf. Sci. 42, 237 (2017). https:\/\/doi.org\/10.5194\/isprs-archives-XLII-2-W8-237-2017","journal-title":"Int. Arch. Photogrammetry Remote Sens. Spat. Inf. Sci."},{"key":"26_CR20","unstructured":"Tobin, J., Fong, R., Ray, A., Schneider, J., Zaremba, W., Abbeel, P.: Domain randomization for transferring deep neural networks from simulation to the real world (2017). https:\/\/ieeexplore.ieee.org\/abstract\/document\/8202133"},{"key":"26_CR21","unstructured":"Valkenburg, R., McIvor, A.: Accurate 3d measurement using a structured light system. Image Vis. Comput. 16(2), 99\u2013110 (1998). https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-0032000083&partnerID=40&md5=af7a27632873263c1d548f1cd6c8c948. cited By 220"}],"container-title":["Lecture Notes in Computer Science","Augmented Reality, Virtual Reality, and Computer Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58468-9_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T09:35:17Z","timestamp":1619256917000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58468-9_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030584672","9783030584689"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58468-9_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"31 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AVR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Augmented Reality, Virtual Reality and Computer Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lecce","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"avr2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.salentoavr.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OCS - Unisalento Conferences","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"99","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"45","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"45% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2-3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}