{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T08:30:17Z","timestamp":1743064217647,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031159077"},{"type":"electronic","value":"9783031159084"}],"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\/978-3-031-15908-4_10","type":"book-chapter","created":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T13:04:24Z","timestamp":1662123864000},"page":"114-127","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["EMap: Real-Time Terrain Estimation"],"prefix":"10.1007","author":[{"given":"Jacobus C.","family":"Lock","sequence":"first","affiliation":[]},{"given":"Fanta","family":"Camara","sequence":"additional","affiliation":[]},{"given":"Charles","family":"Fox","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,1]]},"reference":[{"issue":"3","key":"10_CR1","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s10514-012-9321-0","volume":"34","author":"A Hornung","year":"2013","unstructured":"Hornung, A., Wurm, K.M., Bennewitz, M., Stachniss, C., Burgard, W.: OctoMap: an efficient probabilistic 3D mapping framework based on octrees. Auton. Robot. 34(3), 189\u2013206 (2013)","journal-title":"Auton. Robot."},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Duberg, D., Jensfelt, P.: UFOMap: an efficient probabilistic 3D mapping framework that embraces the unknown. arXiv preprint arXiv:2003.04749 (2020)","DOI":"10.1109\/LRA.2020.3013861"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Gingras, D., Lamarche, T., Bedwani, J.-L., Dupuis, \u00c9.: Rough terrain reconstruction for rover motion planning. In: 2010 Canadian Conference on Computer and Robot Vision, pp. 191\u2013198. IEEE (2010)","DOI":"10.1109\/CRV.2010.32"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Malartre, F., Feraud, T., Debain, C., Chapuis, R.: Digital elevation map estimation by vision-lidar fusion. In: 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 523\u2013528. IEEE (2009)","DOI":"10.1109\/ROBIO.2009.5420701"},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Sock, J., Kim, J., Min, J., Kwak, K.: Probabilistic traversability map generation using 3D-lidar and camera. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 5631\u20135637. IEEE (2016)","DOI":"10.1109\/ICRA.2016.7487782"},{"issue":"10","key":"10_CR6","doi-asserted-by":"publisher","first-page":"1790","DOI":"10.1109\/LGRS.2017.2736013","volume":"14","author":"K-W Chiang","year":"2017","unstructured":"Chiang, K.-W., Tsai, G.-J., Li, Y.-H., El-Sheimy, N.: Development of LiDAR-based UAV system for environment reconstruction. IEEE Geosci. Remote Sens. Lett. 14(10), 1790\u20131794 (2017)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10_CR7","unstructured":"Survey, U.G.: The national map\u2014new data delivery homepage, advanced viewer, lidar visualization. US Geological Survey, Technical report (2019)"},{"key":"10_CR8","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.rse.2012.01.018","volume":"121","author":"C Hladik","year":"2012","unstructured":"Hladik, C., Alber, M.: Accuracy assessment and correction. Remote Sens. Environ. 121, 224\u2013235 (2012)","journal-title":"Remote Sens. Environ."},{"issue":"7","key":"10_CR9","doi-asserted-by":"publisher","first-page":"8178","DOI":"10.1016\/j.eswa.2010.12.162","volume":"38","author":"I Werbrouck","year":"2011","unstructured":"Werbrouck, I., et al.: Digital elevation model generation for historical landscape analysis based on LiDAR data, a case study in Flanders (Belgium). Expert Syst. Appl. 38(7), 8178\u20138185 (2011)","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"10_CR10","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/0146-664X(82)90104-6","volume":"19","author":"D Meagher","year":"1982","unstructured":"Meagher, D.: Geometric modeling using octree encoding. Comput. Graph. Image Process. 19(2), 129\u2013147 (1982)","journal-title":"Comput. Graph. Image Process."},{"issue":"3","key":"10_CR11","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1109\/LGRS.2006.873687","volume":"3","author":"C-W Yeu","year":"2006","unstructured":"Yeu, C.-W., Lim, M.-H., Huang, G.-B., Agarwal, A., Ong, Y.-S.: A new machine learning paradigm for terrain reconstruction. IEEE Geosci. Remote Sens. Lett. 3(3), 382\u2013386 (2006)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10_CR12","series-title":"Springer Tracts in Advanced Robotics","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1007\/978-3-319-07488-7_22","volume-title":"Field and Service Robotics","author":"S Kim","year":"2015","unstructured":"Kim, S., Kim, J.: GPmap: a unified framework for robotic mapping based on sparse Gaussian processes. In: Mejias, L., Corke, P., Roberts, J. (eds.) Field and Service Robotics. STAR, vol. 105, pp. 319\u2013332. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-07488-7_22"},{"key":"10_CR13","doi-asserted-by":"crossref","unstructured":"Wang, J., Englot, B.: Fast, accurate gaussian process occupancy maps via test-data octrees and nested Bayesian fusion. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 1003\u20131010. IEEE (2016)","DOI":"10.1109\/ICRA.2016.7487232"},{"key":"10_CR14","unstructured":"Eriksson, D., Dong, K., Lee, E., Bindel, D., Wilson, A.G.: Scaling gaussian process regression with derivatives. In: Advances in Neural Information Processing Systems, pp. 6867\u20136877 (2018)"},{"issue":"11","key":"10_CR15","doi-asserted-by":"publisher","first-page":"2719","DOI":"10.1162\/089976600300014908","volume":"12","author":"V Tresp","year":"2000","unstructured":"Tresp, V.: A Bayesian committee machine. Neural Comput. 12(11), 2719\u20132741 (2000)","journal-title":"Neural Comput."},{"key":"10_CR16","unstructured":"Berger, M., et al.: State of the art in surface reconstruction from point clouds. In: Eurographics 2014 - State of the Art Reports (2014)"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Leung, C., Appleton, B., Lovell, B.C., Sun, C.: An energy minimisation approach to stereo-temporal dense reconstruction. In: Proceedings of ICPR (2004)","DOI":"10.1109\/ICPR.2004.1333708"},{"issue":"8","key":"10_CR18","doi-asserted-by":"publisher","first-page":"2275","DOI":"10.1111\/j.1467-8659.2009.01530.x","volume":"28","author":"P Labatut","year":"2009","unstructured":"Labatut, P., Pons, J.-P., Keriven, R.: Robust and efficient surface reconstruction from range data. Comput. Graph. Forum 28(8), 2275\u20132290 (2009)","journal-title":"Comput. Graph. Forum"}],"container-title":["Lecture Notes in Computer Science","Towards Autonomous Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-15908-4_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T13:06:11Z","timestamp":1662123971000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-15908-4_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031159077","9783031159084"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-15908-4_10","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":"1 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TAROS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Annual Conference Towards Autonomous Robotic Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Culham","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","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":"7 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"taros2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ukaeaevents.com\/23rd-taros\/","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","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38","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":"14","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":"10","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":"37% - 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":"2.5","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)"}}]}}