{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T10:45:23Z","timestamp":1745405123562,"version":"3.40.3"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031064265"},{"type":"electronic","value":"9783031064272"}],"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\/978-3-031-06427-2_64","type":"book-chapter","created":{"date-parts":[[2022,5,14]],"date-time":"2022-05-14T19:33:35Z","timestamp":1652556815000},"page":"773-786","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Learning Visual Landmarks for\u00a0Localization with\u00a0Minimal Supervision"],"prefix":"10.1007","author":[{"given":"Muhammad","family":"Haris","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mathias","family":"Franzius","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ute","family":"Bauer-Wersing","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,15]]},"reference":[{"key":"64_CR1","doi-asserted-by":"crossref","unstructured":"Bao, S.Y., Bagra, M., Chao, Y., Savarese, S.: Semantic structure from motion with points, regions, and objects. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2703\u20132710 (2012)","DOI":"10.1109\/CVPR.2012.6247992"},{"key":"64_CR2","doi-asserted-by":"crossref","unstructured":"Bowman, S.L., Atanasov, N., Daniilidis, K., Pappas, G.J.: Probabilistic data association for semantic slam. In: 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 1722\u20131729 (2017)","DOI":"10.1109\/ICRA.2017.7989203"},{"key":"64_CR3","series-title":"Springer Proceedings in Advanced Robotics","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/978-3-319-67361-5_23","volume-title":"Field and Service Robotics","author":"N Einecke","year":"2018","unstructured":"Einecke, N., Deigm\u00f6ller, J., Muro, K., Franzius, M.: Boundary wire mapping on autonomous lawn mowers. In: Hutter, M., Siegwart, R. (eds.) Field and Service Robotics. SPAR, vol. 5, pp. 351\u2013365. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-67361-5_23"},{"key":"64_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1007\/978-3-319-10605-2_54","volume-title":"Computer Vision \u2013 ECCV 2014","author":"J Engel","year":"2014","unstructured":"Engel, J., Sch\u00f6ps, T., Cremers, D.: LSD-SLAM: large-scale direct monocular SLAM. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8690, pp. 834\u2013849. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10605-2_54"},{"issue":"8","key":"64_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pcbi.0030166","volume":"3","author":"M Franzius","year":"2007","unstructured":"Franzius, M., Sprekeler, H., Wiskott, L.: Slowness and sparseness lead to place, head-direction, and spatial-view cells. PLoS Comput. Biol. 3(8), 1\u201318 (2007)","journal-title":"PLoS Comput. Biol."},{"issue":"3","key":"64_CR6","doi-asserted-by":"publisher","first-page":"736","DOI":"10.1109\/TRO.2018.2820722","volume":"34","author":"D Frost","year":"2018","unstructured":"Frost, D., Prisacariu, V., Murray, D.: Recovering stable scale in monocular slam using object-supplemented bundle adjustment. IEEE Trans. Rob. 34(3), 736\u2013747 (2018)","journal-title":"IEEE Trans. Rob."},{"key":"64_CR7","doi-asserted-by":"publisher","unstructured":"G\u00e1lvez-L\u00f3pez, D., Salas, M., Tard\u00f3s, J.D., Montiel, J.: Real-time monocular object slam. Robot. Auton. Syst. 75(PB), 435\u2013449 (2016). https:\/\/doi.org\/10.1016\/j.robot.2015.08.009","DOI":"10.1016\/j.robot.2015.08.009"},{"issue":"5","key":"64_CR8","doi-asserted-by":"publisher","first-page":"1188","DOI":"10.1109\/TRO.2012.2197158","volume":"28","author":"D Galvez-L\u00f3pez","year":"2012","unstructured":"Galvez-L\u00f3pez, D., Tardos, J.D.: Bags of binary words for fast place recognition in image sequences. Trans. Rob. 28(5), 1188\u20131197 (2012). https:\/\/doi.org\/10.1109\/TRO.2012.2197158","journal-title":"Trans. Rob."},{"key":"64_CR9","doi-asserted-by":"crossref","unstructured":"Haris, M., Franzius, M., Bauer-Wersing, U.: Robust outdoor self-localization in changing environments. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS 2019). IEEE (2019)","DOI":"10.1109\/IROS40897.2019.8967549"},{"key":"64_CR10","doi-asserted-by":"publisher","unstructured":"Haris, M., Franzius, M., Bauer-Wersing, U.: Unsupervised fast visual localization and mapping with slow features. In: 2021 IEEE International Conference on Image Processing (ICIP), pp. 519\u2013523 (2021). https:\/\/doi.org\/10.1109\/ICIP42928.2021.9506656","DOI":"10.1109\/ICIP42928.2021.9506656"},{"key":"64_CR11","unstructured":"Haris, M., Franzius, M., Bauer-Wersing, U., Karanam, S.K.K.: Visual localization and mapping with hybrid SFA. In: Kober, J., Ramos, F., Tomlin, C. (eds.) Proceedings of the 2020 Conference on Robot Learning. Proceedings of Machine Learning Research, vol. 155, pp. 1211\u20131220. PMLR, 16\u201318 November 2021. https:\/\/proceedings.mlr.press\/v155\/haris21a.html"},{"key":"64_CR12","doi-asserted-by":"crossref","unstructured":"Hosseinzadeh, M., Li, K., Latif, Y., Reid, I.: Real-time monocular object-model aware sparse slam. In: 2019 International Conference on Robotics and Automation (ICRA), pp. 7123\u20137129 (2019)","DOI":"10.1109\/ICRA.2019.8793728"},{"key":"64_CR13","doi-asserted-by":"crossref","unstructured":"Kendall, A., Cipolla, R.: Geometric loss functions for camera pose regression with deep learning. CoRR (2017)","DOI":"10.1109\/CVPR.2017.694"},{"key":"64_CR14","doi-asserted-by":"crossref","unstructured":"Kendall, A., Grimes, M., Cipolla, R.: Convolutional networks for real-time 6-DOF camera relocalization. CoRR (2015)","DOI":"10.1109\/ICCV.2015.336"},{"key":"64_CR15","doi-asserted-by":"publisher","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.: ImageNet classification with deep convolutional neural networks. In: Neural Information Processing Systems 25 (2012). https:\/\/doi.org\/10.1145\/3065386","DOI":"10.1145\/3065386"},{"key":"64_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740\u2013755. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_48"},{"key":"64_CR17","doi-asserted-by":"crossref","unstructured":"Metka, B., Franzius, M., Bauer-Wersing, U.: Outdoor self-localization of a mobile robot using slow feature analysis. In: Neural Information Processing (2013)","DOI":"10.1007\/978-3-642-42054-2_32"},{"key":"64_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/978-3-319-44781-0_58","volume-title":"Artificial Neural Networks and Machine Learning \u2013 ICANN 2016","author":"B Metka","year":"2016","unstructured":"Metka, B., Franzius, M., Bauer-Wersing, U.: Improving robustness of slow feature analysis based localization using loop closure events. In: Villa, A.E.P., Masulli, P., Pons Rivero, A.J. (eds.) ICANN 2016. LNCS, vol. 9887, pp. 489\u2013496. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-44781-0_58"},{"key":"64_CR19","doi-asserted-by":"publisher","unstructured":"Metka, B., Franzius, M., Bauer-Wersing, U.: Bio-inspired visual self-localization in real world scenarios using slow feature analysis. PLOS ONE 13(9), 1\u201318 (2018). https:\/\/doi.org\/10.1371\/journal.pone.0203994","DOI":"10.1371\/journal.pone.0203994"},{"issue":"5","key":"64_CR20","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1109\/TRO.2008.2004520","volume":"24","author":"MJ Milford","year":"2008","unstructured":"Milford, M.J., Wyeth, G.F.: Mapping a suburb with a single camera using a biologically inspired slam system. IEEE Trans. Rob. 24(5), 1038\u20131053 (2008). https:\/\/doi.org\/10.1109\/TRO.2008.2004520","journal-title":"IEEE Trans. Rob."},{"key":"64_CR21","doi-asserted-by":"publisher","unstructured":"Milford, M.J., Wyeth, G.F., Prasser, D.: RatSLAM: a hippocampal model for simultaneous localization and mapping. In: IEEE International Conference on Robotics and Automation, 2004, Proceedings, ICRA 2004, vol. 1, pp. 403\u2013408, April 2004. https:\/\/doi.org\/10.1109\/ROBOT.2004.1307183","DOI":"10.1109\/ROBOT.2004.1307183"},{"key":"64_CR22","doi-asserted-by":"publisher","unstructured":"Mur-Artal, R., Montiel, J.M.M., Tard\u00f3s, J.D.: ORB-SLAM: a versatile and accurate monocular SLAM system. IEEE Trans. Robot. 31(5), 1147\u20131163 (2015). https:\/\/doi.org\/10.1109\/TRO.2015.2463671","DOI":"10.1109\/TRO.2015.2463671"},{"key":"64_CR23","unstructured":"Nicholson, L., Milford, M., S\u00fcnderhauf, N.: Quadricslam: constrained dual quadrics from object detections as landmarks in semantic SLAM. CoRR abs\/1804.04011 (2018)"},{"key":"64_CR24","doi-asserted-by":"publisher","unstructured":"O\u2019Keefe, J., Dostrovsky, J.: The hippocampus as a spatial map. preliminary evidence from unit activity in the freely-moving rat. Brain Res. 34(1), 171\u2013175 (1971). https:\/\/doi.org\/10.1016\/0006-8993(71)90358-1","DOI":"10.1016\/0006-8993(71)90358-1"},{"key":"64_CR25","doi-asserted-by":"crossref","unstructured":"Parkhiya, P., Khawad, R., Murthy, J.K., Bhowmick, B., Krishna, K.M.: Constructing category-specific models for monocular object-SLAM. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 4517\u20134524 (2018)","DOI":"10.1109\/ICRA.2018.8460816"},{"key":"64_CR26","unstructured":"Redmon, J., Farhadi, A.: YOLOv3: an incremental improvement. CoRR abs\/1804.02767 (2018)"},{"key":"64_CR27","doi-asserted-by":"crossref","unstructured":"Sucar, E., Hayet, J.: Bayesian scale estimation for monocular slam based on generic object detection for correcting scale drift. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 5152\u20135158 (2018)","DOI":"10.1109\/ICRA.2018.8461178"},{"key":"64_CR28","doi-asserted-by":"publisher","unstructured":"Taube, J., Muller, R., Ranck, Jr, J.: Head-direction cells recorded from the postsubiculum in freely moving rats. I. Description and quantitative analysis. J. Neurosci. 10, 420\u201335 (1990). https:\/\/doi.org\/10.1523\/JNEUROSCI.10-02-00420.1990","DOI":"10.1523\/JNEUROSCI.10-02-00420.1990"},{"key":"64_CR29","doi-asserted-by":"publisher","unstructured":"Thrun, S.: Bayesian landmark learning for mobile robot localization. Mach. Learn. 33(1), 41\u201376 (1998). https:\/\/doi.org\/10.1023\/A:1007554531242","DOI":"10.1023\/A:1007554531242"},{"issue":"4","key":"64_CR30","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1162\/089976602317318938","volume":"14","author":"L Wiskott","year":"2002","unstructured":"Wiskott, L., Sejnowski, T.: Slow feature analysis: unsupervised learning of invariances. Neural Comput. 14(4), 715\u2013770 (2002)","journal-title":"Neural Comput."},{"key":"64_CR31","doi-asserted-by":"publisher","unstructured":"Yang, S., Scherer, S.: CubeSLAM: monocular 3-D object slam. IEEE Trans. Robot. 1\u201314 (2019). https:\/\/doi.org\/10.1109\/TRO.2019.2909168","DOI":"10.1109\/TRO.2019.2909168"},{"key":"64_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/978-3-030-02931-9_8","volume-title":"Wired\/Wireless Internet Communications","author":"Z Zhao","year":"2018","unstructured":"Zhao, Z., Carrera, J., Niklaus, J., Braun, T.: Machine learning-based real-time indoor landmark localization. In: Chowdhury, K.R., Di Felice, M., Matta, I., Sheng, B. (eds.) WWIC 2018. LNCS, vol. 10866, pp. 95\u2013106. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-02931-9_8"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2013 ICIAP 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-06427-2_64","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T11:41:07Z","timestamp":1710243667000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-06427-2_64"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031064265","9783031064272"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-06427-2_64","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":"15 May 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 May 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap2021.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"307","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":"168","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":"55% - 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":"4","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)"}}]}}