{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T12:43:28Z","timestamp":1766580208086},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319237770"},{"type":"electronic","value":"9783319237787"}],"license":[{"start":{"date-parts":[[2015,11,13]],"date-time":"2015-11-13T00:00:00Z","timestamp":1447372800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-23778-7_52","type":"book-chapter","created":{"date-parts":[[2015,11,12]],"date-time":"2015-11-12T05:39:58Z","timestamp":1447306798000},"page":"791-805","source":"Crossref","is-referenced-by-count":13,"title":["Gaussian Process Occupancy Maps for Dynamic Environments"],"prefix":"10.1007","author":[{"given":"Simon T.","family":"O\u2019Callaghan","sequence":"first","affiliation":[]},{"given":"Fabio T.","family":"Ramos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,11,13]]},"reference":[{"key":"52_CR1","doi-asserted-by":"crossref","unstructured":"Bohg, J., Johnson-Roberson, M., Bj\u00f6rkman, M., Kragic, D.: Strategies for multi-modal scene exploration. In: Proceedings of the 2010 IEEE\/RSJ International Conference on Intelligent Robots and Systems, October 2010","DOI":"10.1109\/IROS.2010.5652967"},{"key":"52_CR2","doi-asserted-by":"crossref","unstructured":"Brechtel, S., Gindele, T., Dillmann, R.: Recursive importance sampling for efficient grid-based occupancy filtering in dynamic environments. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 3932\u20133938, May 2010","DOI":"10.1109\/ROBOT.2010.5509931"},{"key":"52_CR3","unstructured":"Chen, C., Tay, C., Laugier, C., Mekhnacha, K.: Dynamic environment modeling with gridmap: a multiple-object tracking application. In: 9th International Conference on Control, Automation, Robotics and Vision, 2006. ICARCV \u201906, pp. 1\u20136, December 2006"},{"key":"52_CR4","unstructured":"Elfes, A.: Occupancy grids: a probabilistic framework for robot perception and navigation. PhD thesis, Carnegie Mellon University (1989)"},{"key":"52_CR5","doi-asserted-by":"crossref","unstructured":"Ellis, D., Sommerlade, E., Reid, I.: Modelling pedestrian trajectories with gaussian processes. In: Ninth International Workshop on Visual Surveillance (2009)","DOI":"10.1109\/ICCVW.2009.5457470"},{"key":"52_CR6","unstructured":"Fleet, D., Weiss, Y.: Optical Flow Estimation. Springer, Berlin (2005)"},{"key":"52_CR7","unstructured":"Gan, S., Yang, K., Sukkarieh, S.: 3d path planning for a rotary wing UAV using a Gaussian process occupancy map. In: Proceedings of the Australasian Conference on Robotics and Automation (2009)"},{"key":"52_CR8","unstructured":"Gindele, T., Brechtel, S., Schroder, J., Dillmann, R.: Bayesian occupancy grid filter for dynamic environments using prior map knowledge. In: IEEE Intelligent Vehicles Symposium, 2009, pp. 669\u2013676, June 2009"},{"key":"52_CR9","unstructured":"Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the 7th International Joint Conference on Artificial Intelligence\u2014Volume 2, pp. 674\u2013679. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1981)"},{"key":"52_CR10","unstructured":"Melkumyan, A., Ramos, F.: Multi-kernel gaussian processes. In: IJCAI, pp. 1408\u20131413 (2011)"},{"key":"52_CR11","unstructured":"Moras, J., Cherfaoui, V., Bonnifait, P.: Credibilist occupancy grids for vehicle perception in dynamic environments. In: IEEE International Conference on Robotics and Automation (ICRA), 2011, pp. 84\u201389 (2011)"},{"issue":"1","key":"52_CR12","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1177\/0278364911421039","volume":"31","author":"ST O\u2019Callaghan","year":"2012","unstructured":"O\u2019Callaghan, S.T., Ramos, F.T.: Gaussian process occupancy maps. Int. J. Robot. Res. 31(1), 42\u201362 (2012)","journal-title":"Int. J. Robot. Res."},{"key":"52_CR13","unstructured":"O\u2019Callaghan, S.T., Singh, S.P.N., Alempijevic, A., Ramos, F.T.: Learning navigational maps by observing human motion patterns. In: IEEE International Conference on Robotics and Automation (ICRA), 2011, pp. 4333\u20134340, May 2011"},{"key":"52_CR14","doi-asserted-by":"crossref","unstructured":"Plagemann, C., Kersting, K., Burgard, W.: Nonstationary Gaussian process regression using point estimates of local smoothness. In: European Conference on Machine Learning (ECML) (2008)","DOI":"10.1007\/978-3-540-87481-2_14"},{"key":"52_CR15","doi-asserted-by":"crossref","unstructured":"Rasmussen, C.E.: Gaussian Processes for Machine Learning. MIT Press, Cambridge (2006)","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"52_CR16","unstructured":"Wang, C.C.: Simultaneous localization, mapping and moving object tracking. Ph.D. thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, April 2004"}],"container-title":["Springer Tracts in Advanced Robotics","Experimental Robotics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-23778-7_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T12:35:01Z","timestamp":1559306101000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-23778-7_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,13]]},"ISBN":["9783319237770","9783319237787"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-23778-7_52","relation":{},"ISSN":["1610-7438","1610-742X"],"issn-type":[{"type":"print","value":"1610-7438"},{"type":"electronic","value":"1610-742X"}],"subject":[],"published":{"date-parts":[[2015,11,13]]}}}