{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:54:16Z","timestamp":1742961256707,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031048807"},{"type":"electronic","value":"9783031048814"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-04881-4_30","type":"book-chapter","created":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T19:02:54Z","timestamp":1650913374000},"page":"378-389","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Innovative Vision System for\u00a0Floor-Cleaning Robots Based on\u00a0YOLOv5"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5184-3265","authenticated-orcid":false,"given":"Daniel","family":"Canedo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7313-6959","authenticated-orcid":false,"given":"Pedro","family":"Fonseca","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6424-6590","authenticated-orcid":false,"given":"Petia","family":"Georgieva","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5433-6667","authenticated-orcid":false,"given":"Ant\u00f3nio J. R.","family":"Neves","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,26]]},"reference":[{"key":"30_CR1","unstructured":"ACIN and IPA datasets. https:\/\/goo.gl\/6UCBpR. Accessed 17 Jan 2022"},{"key":"30_CR2","unstructured":"IPA dirt detection. http:\/\/wiki.ros.org\/ipa_dirt_detection. Accessed 12 Jan 2022"},{"key":"30_CR3","unstructured":"Tzutalin. labelimg. https:\/\/github.com\/tzutalin\/labelImg. Accessed 14 Jan 2022"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Bormann, R., Wang, X., Xu, J., Schmidt, J.: DirtNet: visual dirt detection for autonomous cleaning robots. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 1977\u20131983. IEEE (2020)","DOI":"10.1109\/ICRA40945.2020.9196559"},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Bormann, R., Weisshardt, F., Arbeiter, G., Fischer, J.: Autonomous dirt detection for cleaning in office environments. In: 2013 IEEE International Conference on Robotics and Automation, pp. 1260\u20131267. IEEE (2013)","DOI":"10.1109\/ICRA.2013.6630733"},{"issue":"2","key":"30_CR6","doi-asserted-by":"publisher","first-page":"125","DOI":"10.3390\/info11020125","volume":"11","author":"A Buslaev","year":"2020","unstructured":"Buslaev, A., Iglovikov, V.I., Khvedchenya, E., Parinov, A., Druzhinin, M., Kalinin, A.A.: Albumentations: fast and flexible image augmentations. Information 11(2), 125 (2020)","journal-title":"Information"},{"issue":"4","key":"30_CR7","doi-asserted-by":"publisher","first-page":"94","DOI":"10.3390\/technologies9040094","volume":"9","author":"D Canedo","year":"2021","unstructured":"Canedo, D., Fonseca, P., Georgieva, P., Neves, A.J.: A deep learning-based dirt detection computer vision system for floor-cleaning robots with improved data collection. Technologies 9(4), 94 (2021)","journal-title":"Technologies"},{"key":"30_CR8","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1007\/978-3-319-64107-2_34","volume-title":"Towards Autonomous Robotic Systems","author":"A Gr\u00fcnauer","year":"2017","unstructured":"Gr\u00fcnauer, A., Halmetschlager-Funek, G., Prankl, J., Vincze, M.: The power of GMMs: unsupervised dirt spot detection for industrial floor cleaning robots. In: Gao, Y., Fallah, S., Jin, Y., Lekakou, C. (eds.) TAROS 2017. LNCS (LNAI), vol. 10454, pp. 436\u2013449. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-64107-2_34"},{"key":"30_CR9","doi-asserted-by":"publisher","unstructured":"Jocher, G., et al.: ultralytics\/yolov5: v5.0 - YOLOv5-P6 1280 models, AWS, Supervise.ly and YouTube integrations, April 2021. https:\/\/doi.org\/10.5281\/zenodo.4679653","DOI":"10.5281\/zenodo.4679653"},{"issue":"4","key":"30_CR10","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1109\/TCE.2014.7027291","volume":"60","author":"MC Kang","year":"2014","unstructured":"Kang, M.C., Kim, K.S., Noh, D.K., Han, J.W., Ko, S.J.: A robust obstacle detection method for robotic vacuum cleaners. IEEE Trans. Consum. Electron. 60(4), 587\u2013595 (2014)","journal-title":"IEEE Trans. Consum. Electron."},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Marcu, A., Licaret, V., Costea, D., Leordeanu, M.: Semantics through time: semi-supervised segmentation of aerial videos with iterative label propagation. In: Proceedings of the Asian Conference on Computer Vision (2020)","DOI":"10.1007\/978-3-030-69525-5_32"},{"key":"30_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/978-3-662-44468-9_17","volume-title":"RoboCup 2013: Robot World Cup XVII","author":"AJR Neves","year":"2014","unstructured":"Neves, A.J.R., Trifan, A., Cunha, B.: Self-calibration of colormetric parameters in vision systems for autonomous soccer robots. In: Behnke, S., Veloso, M., Visser, A., Xiong, R. (eds.) RoboCup 2013. LNCS (LNAI), vol. 8371, pp. 183\u2013194. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-662-44468-9_17"},{"issue":"12","key":"30_CR13","doi-asserted-by":"publisher","first-page":"2649","DOI":"10.3390\/app8122649","volume":"8","author":"B Ramalingam","year":"2018","unstructured":"Ramalingam, B., Lakshmanan, A.K., Ilyas, M., Le, A.V., Elara, M.R.: Cascaded machine-learning technique for debris classification in floor-cleaning robot application. Appl. Sci. 8(12), 2649 (2018)","journal-title":"Appl. Sci."},{"key":"30_CR14","doi-asserted-by":"crossref","unstructured":"Ramalingam, B., Veerajagadheswar, P., Ilyas, M., Elara, M.R., Manimuthu, A.: Vision-based dirt detection and adaptive tiling scheme for selective area coverage. J. Sens. 2018 (2018)","DOI":"10.1155\/2018\/3035128"},{"key":"30_CR15","unstructured":"Yang, M., Thung, G.: Classification of trash for recyclability status. CS229 Project Report 2016 (2016)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-04881-4_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,22]],"date-time":"2024-09-22T22:52:47Z","timestamp":1727045567000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-04881-4_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031048807","9783031048814"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-04881-4_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"26 April 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IbPRIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberian Conference on Pattern Recognition and Image Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Aveiro","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 May 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ibpria2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ibpria.org\/2022\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","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":"54","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":"0","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":"75% - 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":"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":"3","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)"}}]}}