{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T13:12:35Z","timestamp":1763644355315,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031625817"},{"type":"electronic","value":"9783031625824"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-62582-4_17","type":"book-chapter","created":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T08:10:19Z","timestamp":1719475819000},"page":"187-196","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Investigation of an Integrated Synthetic Dataset Generation Workflow for Computer Vision Applications"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3215-9265","authenticated-orcid":false,"given":"Julian","family":"Rolf","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0628-7570","authenticated-orcid":false,"given":"Mario","family":"Wolf","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3266-7526","authenticated-orcid":false,"given":"Detlef","family":"Gerhard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,28]]},"reference":[{"key":"17_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.procir.2022.02.001","volume":"105","author":"S Mangold","year":"2022","unstructured":"Mangold, S., Steiner, C., Friedmann, M., Fleischer, J.: Vision-based screw head detection for automated disassembly for remanufacturing. Procedia CIRP 105, 1\u20136 (2022). https:\/\/doi.org\/10.1016\/j.procir.2022.02.001","journal-title":"Procedia CIRP"},{"key":"17_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.array.2021.100094","volume":"12","author":"DP Brogan","year":"2021","unstructured":"Brogan, D.P., DiFilippo, N.M., Jouaneh, M.K.: Deep learning computer vision for robotic disassembly and servicing applications. Array 12, 100094 (2021). https:\/\/doi.org\/10.1016\/j.array.2021.100094","journal-title":"Array"},{"key":"17_CR3","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1016\/j.procir.2022.10.068","volume":"115","author":"FP Basamakis","year":"2022","unstructured":"Basamakis, F.P., Bavelos, A.C., Dimosthenopoulos, D., Papavasileiou, A., Makris, S.: Deep object detection framework for automated quality inspection in assembly operations. Procedia CIRP 115, 166\u2013171 (2022). https:\/\/doi.org\/10.1016\/j.procir.2022.10.068","journal-title":"Procedia CIRP"},{"key":"17_CR4","unstructured":"Borkman, S., et al.: Unity Perception: Generate Synthetic Data for Computer Vision (2021). http:\/\/arxiv.org\/pdf\/2107.04259v2"},{"key":"17_CR5","unstructured":"NVIDIA Omniverse Replicator. https:\/\/developer.nvidia.com\/nvidia-omniverse-platform\/replicator. Accessed 25 Jan 2023"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Greff, K., et al.: Kubric: a scalable dataset generator (2022)","DOI":"10.1109\/CVPR52688.2022.00373"},{"key":"17_CR7","unstructured":"Siemens SynthAI. https:\/\/synth.ai.sws.siemens.com\/. Accessed 25 Jan 2023"},{"key":"17_CR8","unstructured":"Cabon, Y., Murray, N., Humenberger, M.: Virtual KITTI 2 (2020). https:\/\/arxiv.org\/pdf\/2001.10773"},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Frid-Adar, M., Klang, E., Amitai, M., Goldberger, J., Greenspan, H.: Synthetic data augmentation using GAN for improved liver lesion classification. In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 289\u2013293 (2018)","DOI":"10.1109\/ISBI.2018.8363576"},{"key":"17_CR10","doi-asserted-by":"crossref","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:\/\/arxiv.org\/pdf\/1703.06907","DOI":"10.1109\/IROS.2017.8202133"},{"key":"17_CR11","unstructured":"Jocher, G., et al.: ultralytics\/ YOLOv 5: v7.0 - YOLOv5 SOTA Realtime Instance Segmentation, Zenodo (2022)"}],"container-title":["IFIP Advances in Information and Communication Technology","Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-62582-4_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T08:12:41Z","timestamp":1719475961000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-62582-4_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031625817","9783031625824"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-62582-4_17","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"28 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PLM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Product Lifecycle Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montreal, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"plm2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.plm-conference.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}