{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T14:29:49Z","timestamp":1775485789615,"version":"3.50.1"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030110086","type":"print"},{"value":"9783030110093","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-11009-3_13","type":"book-chapter","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T06:24:44Z","timestamp":1548311084000},"page":"226-239","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Real-Time Point Cloud Alignment for Vehicle Localization in a High Resolution 3D Map"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0338-863X","authenticated-orcid":false,"given":"Bal\u00e1zs","family":"Nagy","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3203-0741","authenticated-orcid":false,"given":"Csaba","family":"Benedek","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,1,23]]},"reference":[{"key":"13_CR1","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.copbio.2017.01.009","volume":"45","author":"Behzad Bayat","year":"2017","unstructured":"Bayat, B., Crasta, N., Crespi, A., Pascoal, A.M., Ijspeert, A.: Environmental monitoring using autonomous vehicles: a survey of recent searching techniques. Curr. Opin. Biotechnol. 45, 76\u201384 (2017). https:\/\/doi.org\/10.1016\/j.copbio.2017.01.009. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0958166916302312","journal-title":"Current Opinion in Biotechnology"},{"key":"13_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"628","DOI":"10.1007\/978-3-319-16181-5_48","volume-title":"Computer Vision - ECCV 2014 Workshops","author":"A B\u00f6rcs","year":"2015","unstructured":"B\u00f6rcs, A., Nagy, B., Benedek, C.: Fast 3-D urban object detection on streaming point clouds. In: Agapito, L., Bronstein, M.M., Rother, C. (eds.) ECCV 2014. LNCS, vol. 8926, pp. 628\u2013639. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16181-5_48"},{"key":"13_CR3","doi-asserted-by":"publisher","unstructured":"Douillard, B., et al.: Scan segments matching for pairwise 3D alignment. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 3033\u20133040. St. Paul, May 2012. https:\/\/doi.org\/10.1109\/ICRA.2012.6224788","DOI":"10.1109\/ICRA.2012.6224788"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"G\u00e1lai, B., Nagy, B., Benedek, C.: Crossmodal point cloud registration in the Hough space for mobile laser scanning data. In: International Conference on Pattern Recognition (ICPR), pp. 3374\u20133379. IEEE, Cancun (2016)","DOI":"10.1109\/ICPR.2016.7900155"},{"key":"13_CR5","doi-asserted-by":"publisher","first-page":"117","DOI":"10.5194\/isprsannals-I-3-117-2012","volume":"I-3","author":"A. Gressin","year":"2012","unstructured":"Gressin, A., Cannelle, B., Mallet, C., Papelard, J.P.: Trajectory-based registration of 3D LIDAR point clouds acquired with a mobile mapping system. In: ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences, pp. 117\u2013122, July 2012. https:\/\/doi.org\/10.5194\/isprsannals-I-3-117-2012","journal-title":"ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences"},{"key":"13_CR6","doi-asserted-by":"publisher","first-page":"111","DOI":"10.5194\/isprsannals-I-3-111-2012","volume":"I-3","author":"A. Gressin","year":"2012","unstructured":"Gressin, A., Mallet, C., David, N.: Improving 3D LIDAR point cloud registration using optimal neighborhood knowledge. In: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 111\u2013116, July 2012. https:\/\/doi.org\/10.5194\/isprsannals-I-3-111-2012","journal-title":"ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences"},{"key":"13_CR7","doi-asserted-by":"publisher","unstructured":"Kang, M., Hur, S., Jeong, W., Park, Y.: Map building based on sensor fusion for autonomous vehicle. In: International Conference on Information Technology: New Generations, pp. 490\u2013495. Las Vegas, April 2014. https:\/\/doi.org\/10.1109\/ITNG.2014.30","DOI":"10.1109\/ITNG.2014.30"},{"key":"13_CR8","unstructured":"Magnusson, M.: The Three-Dimensional Normal-Distributions Transform - an Efficient Representation for Registration, Surface Analysis, and Loop Detection. Ph.D. thesis, \u00d6rebro University (December 2009)"},{"key":"13_CR9","doi-asserted-by":"publisher","unstructured":"Matthaei, R., Bagschik, G., Maurer, M.: Map-relative localization in lane-level maps for ADAS and autonomous driving. In: IEEE Intelligent Vehicles Symposium Proceedings, pp. 49\u201355, Dearborn, June 2014. https:\/\/doi.org\/10.1109\/IVS.2014.6856428","DOI":"10.1109\/IVS.2014.6856428"},{"key":"13_CR10","doi-asserted-by":"publisher","unstructured":"Men, H., Gebre, B., Pochiraju, K.: Color point cloud registration with 4D ICP algorithm. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 1511\u20131516, Shanghai, May 2011. https:\/\/doi.org\/10.1109\/ICRA.2011.5980407","DOI":"10.1109\/ICRA.2011.5980407"},{"issue":"2","key":"13_CR11","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1007\/s11263-009-0296-z","volume":"89","author":"A Mian","year":"2010","unstructured":"Mian, A., Bennamoun, M., Owens, R.: On the repeatability and quality of keypoints for local feature-based 3D object retrieval from cluttered scenes. Int. J. Comput. Vis. 89(2), 348\u2013361 (2010). https:\/\/doi.org\/10.1007\/s11263-009-0296-z","journal-title":"Int. J. Comput. Vis."},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Nagy, B., Benedek, C.: 3D CNN based phantom object removing from mobile laser scanning data. In: International Joint Conference on Neural Networks (IJCNN), pp. 4429\u20134435, Anchorage, May 2017","DOI":"10.1109\/IJCNN.2017.7966417"},{"key":"13_CR13","unstructured":"Qi, C., Yi, L., Su, H., Guibas, L.: PointNet++: deep hierarchical feature learning on point sets in a metric space. In: Conference on Neural Information Processing Systems (NIPS), pp. 5105\u20135114. Long Beach (2017)"},{"issue":"8","key":"13_CR14","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1109\/34.531800","volume":"18","author":"NK Ratha","year":"1996","unstructured":"Ratha, N.K., Karu, K., Chen, S., Jain, A.K.: A real-time matching system for large fingerprint databases. IEEE Trans. Pattern Anal. Mach. Intell. 18(8), 799\u2013813 (1996). https:\/\/doi.org\/10.1109\/34.531800","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"13_CR15","doi-asserted-by":"publisher","unstructured":"Rusu, R.B., Blodow, N., Beetz, M.: Fast point feature histograms (FPFH) for 3D registration. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 3212\u20133217, Kobe, May 2009. https:\/\/doi.org\/10.1109\/ROBOT.2009.5152473","DOI":"10.1109\/ROBOT.2009.5152473"},{"key":"13_CR16","doi-asserted-by":"publisher","unstructured":"Rusu, R.B., Cousins, S.: 3D is here: point cloud library (PCL). In: IEEE International Conference on Robotics and Automation (ICRA), pp. 1\u20134, Shanghai, May 2011. https:\/\/doi.org\/10.1109\/ICRA.2011.5980567","DOI":"10.1109\/ICRA.2011.5980567"},{"issue":"2","key":"13_CR17","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/J.ENG.2016.02.010","volume":"2","author":"Heiko G. Seif","year":"2016","unstructured":"Seif, H.G., Hu, X.: Autonomous driving in the iCity\u2014HD maps as a key challenge of the automotive industry. Engineering 2(2), 159\u2013162 (2016). https:\/\/doi.org\/10.1016\/J.ENG.2016.02.010, http:\/\/www.sciencedirect.com\/science\/article\/pii\/S2095809916309432","journal-title":"Engineering"},{"issue":"7","key":"13_CR18","doi-asserted-by":"publisher","first-page":"4130","DOI":"10.1109\/TGRS.2016.2537830","volume":"54","author":"Y Yu","year":"2016","unstructured":"Yu, Y., Li, J., Guan, H., Wang, C.: Automated detection of three-dimensional cars in mobile laser scanning point clouds using DBM-hough-forests. IEEE Trans. Geosci. Rem. Sens. 54(7), 4130\u20134142 (2016). https:\/\/doi.org\/10.1109\/TGRS.2016.2537830","journal-title":"IEEE Trans. Geosci. Rem. Sens."},{"issue":"2","key":"13_CR19","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/BF01427149","volume":"13","author":"Z Zhang","year":"1994","unstructured":"Zhang, Z.: Iterative point matching for registration of free-form curves and surfaces. Int. J. Comput. Vis. 13(2), 119\u2013152 (1994)","journal-title":"Int. J. Comput. Vis."}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-11009-3_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,22]],"date-time":"2023-01-22T01:07:36Z","timestamp":1674349656000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-11009-3_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030110086","9783030110093"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-11009-3_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}