{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T18:34:22Z","timestamp":1757702062805},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2007,7,27]],"date-time":"2007-07-27T00:00:00Z","timestamp":1185494400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Intel Serv Robotics"],"published-print":{"date-parts":[[2008,1]]},"DOI":"10.1007\/s11370-007-0004-1","type":"journal-article","created":{"date-parts":[[2007,7,26]],"date-time":"2007-07-26T08:07:23Z","timestamp":1185437243000},"page":"51-72","source":"Crossref","is-referenced-by-count":9,"title":["Geometric and Bayesian models for safe navigation in dynamic environments"],"prefix":"10.1007","volume":"1","author":[{"given":"C.","family":"Laugier","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dizan","family":"Vasquez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Yguel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Th.","family":"Fraichard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"O.","family":"Aycard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2007,7,27]]},"reference":[{"key":"4_CR1","unstructured":"Elfes A (1989) Occupancy grids: a probabilistic framework for robot perception and navigation. PhD thesis, Carnegie Mellon University"},{"key":"4_CR2","doi-asserted-by":"crossref","DOI":"10.1137\/1.9781611970104","volume-title":"Ten lectures on wavelets. No. 61 in CBMS-NSF series in applied mathematics","author":"I Daubechies","year":"1992","unstructured":"Daubechies I (1992). Ten lectures on wavelets. No. 61 in CBMS-NSF series in applied mathematics. SIAM Publications, Philadelphia"},{"key":"4_CR3","volume-title":"A wavelet tour of signal processing","author":"S Mallat","year":"1998","unstructured":"Mallat S (1998). A wavelet tour of signal processing. Academic Press, San Diego"},{"key":"4_CR4","unstructured":"Stollnitz EJ, Derose TD, Salesin DH (1996) Wavelets for computer graphics: theory and applications. Morgan Kaufmann"},{"key":"4_CR5","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1023\/A:1025584807625","volume":"15","author":"S Thrun","year":"2003","unstructured":"Thrun S (2003). Learning occupancy grids with forward sensor models. Autonomous Robots, 15: 111\u2013127","journal-title":"Autonomous Robots,"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Yguel M, Aycard O, Laugier C (to appear in 2007) Efficient gpu-based construction of occupancy grids using several laser range-finders. Int J Vehicle Autonomous System","DOI":"10.1109\/IROS.2006.281817"},{"key":"4_CR7","unstructured":"Yguel M, Aycard O, Laugier C (2005) Wavelet occupancy grids: a method for compact map building. In: Proceedings of the international conference on field and service robotics, http:\/\/emotion. inrialpes.fr\/bibemotion\/2005\/YAL05"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Moravec HP, Elfes AE (1985) High resolution maps from wide angle sonar. In: Proceedings of the 1985 IEEE international conference on robotics and automation, pp 116\u2013121, St Louis","DOI":"10.1109\/ROBOT.1985.1087316"},{"key":"4_CR9","unstructured":"MacQueen J (1967) Some methods for classification and analysis of multivariate observations. In: Cam LL, Neyman J (eds) Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, University of California Press, vol 1, pp 281\u2013297"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Dempster N Aand Laird, Rubin D (1977) Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc 9(1):1\u201338, series B","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Kohonen T (1995) Self-organizing maps, Springer series in information sciences, vol 30. Springer, Berlin, (Second extended edition 1997)","DOI":"10.1007\/978-3-642-97610-0"},{"key":"4_CR12","unstructured":"Fritzke B (1995) A growing neural gas network learns topologies. Adv Neural Informat Proc Sys"},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Suzuki K, Horiba I, Sugie N (2000) Fast connected-component labeling based on sequential local operations in the course of forward-raster scan followed by backward-raster scan. In: Proceedings of the 15th International Conference on Pattern Recognition, Barcelona, vol 2, pp 434\u2013437","DOI":"10.1109\/ICPR.2000.906105"},{"issue":"2","key":"4_CR14","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1016\/j.cviu.2003.09.002","volume":"93","author":"F Chang","year":"2004","unstructured":"Chang F, Chen CJ and Lu CJ (2004). A linear-time component- labeling algorithm using contour tracing technique. Computer Vision Image Understand 93(2): 206\u2013220","journal-title":"Computer Vision Image Understand"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Schulz D, Burgard W, Fox D, Cremers A (2003) People tracking with a mobile robot using sample-based joint probabilistic data association filters. Int J Robotics Res","DOI":"10.1177\/0278364903022002002"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Johnson N, Hogg D (1995) Learning the distribution of object trajectories for event recognition. In: Proceedings of the british machine vision conference, vol 2, pp 583\u2013592","DOI":"10.5244\/C.9.58"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Kruse E, Wahl F (1998) Camera-based observation of obstacle motions to derive statistical data for mobile robot motion planning. In: Proceedings of the IEEE international conference on robotics and automation, Leuven (BE), pp 662\u2013667","DOI":"10.1109\/ROBOT.1998.677048"},{"issue":"8","key":"4_CR18","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1109\/34.868677","volume":"22","author":"C Stauffer","year":"2000","unstructured":"Stauffer C and Grimson E (2000). Learning patterns of activity using real-time tracking. IEEE Trans Pattern Anal Machine Intell 22(8): 747\u2013757","journal-title":"IEEE Trans Pattern Anal Machine Intell"},{"issue":"9","key":"4_CR19","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1016\/S0262-8856(99)00073-6","volume":"18","author":"N Sumpter","year":"2000","unstructured":"Sumpter N and Bulpitt A (2000). Learning spatio-temporal patterns for predicting object behaviour. Image Vision Comput 18(9): 697\u2013704","journal-title":"Image Vision Comput"},{"key":"4_CR20","doi-asserted-by":"crossref","unstructured":"Junejo I, Javed O, Shah M (2004) Multi feature path modeling for video surveillance. In: Proceedings of the 17th conference of the international conference on pattern recognition (ICPR), pp 716\u2013719","DOI":"10.1109\/ICPR.2004.1334359"},{"issue":"1","key":"4_CR21","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1109\/TNN.2003.820668","volume":"15","author":"W Hu","year":"2004","unstructured":"Hu W, Xie D and Tan T (2004). A hierarchical self-organizing approach for learning the patterns of motion trajectories. IEEE Trans Neural Networks 15(1): 135\u2013144","journal-title":"IEEE Trans Neural Networks"},{"issue":"1","key":"4_CR22","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1177\/0278364904048962","volume":"24","author":"M Bennewitz","year":"2005","unstructured":"Bennewitz M, Burgard W, Cielniak G and Thrun S (2005). Learning motion patterns of people for compliant robot motion. Int J Robotics Res 24(1): 31\u201348","journal-title":"Int J Robotics Res"},{"issue":"9","key":"4_CR23","doi-asserted-by":"crossref","first-page":"1450","DOI":"10.1109\/TPAMI.2006.176","volume":"28","author":"W Hu","year":"2006","unstructured":"Hu W, Xiao X, Fu Z, Xie D, Tan T and Maybank S (2006). A system for learning statistical motion patterns. IEEE Trans Pattern Anal Machine Intelli 28(9): 1450\u20131464","journal-title":"IEEE Trans Pattern Anal Machine Intelli"},{"key":"4_CR24","doi-asserted-by":"crossref","unstructured":"Rabiner LR (1990) A tutorial on hidden markov models and selected applications in speech recogn. Readings Speech Recognition. pp 267\u2013296","DOI":"10.1016\/B978-0-08-051584-7.50027-9"},{"key":"4_CR25","unstructured":"Walter M, Psarrow A, Gong S (1999) Learning prior and observation augmented density models for behaviour recognition. In: Proceedings of the British machine vision conference, pp 23\u201332"},{"key":"4_CR26","unstructured":"Makris D, Ellis T (2002) Spatial and probabilistic modelling of pedestrian behavior. In: Proceedings of the British machine vision conference, Cardiff, pp 557\u2013566"},{"key":"4_CR27","first-page":"397","volume":"I","author":"T Martinetz","year":"1991","unstructured":"Martinetz T and Schulten K (1991). A \u201cneural-gas\u201d network learns topologies. Artif Neural Networks I: 397\u2013402","journal-title":"Artif Neural Networks"},{"key":"4_CR28","doi-asserted-by":"crossref","unstructured":"Martinetz T (1993) Competitive hebbian learning rule forms perfectly topology preserving maps. In: Gielen S, Kappen B (eds) In Proceedings of the international and conference on artificial neural networks (ICANN-93), Springer, Amsterdam, pp 427\u2013434","DOI":"10.1007\/978-1-4471-2063-6_104"},{"key":"4_CR29","unstructured":"Jockusch J, Ritter H (1999) An instantaneous topological map for correlated stimuli. In: In Proceedings of the international joint conference on neural Networks, Washington, vol 1, pp 529\u2013534"},{"key":"4_CR30","doi-asserted-by":"crossref","unstructured":"Marsland S, Shapiro J, Nehmzow U (2002) A self-organizing network that grows when required. Neural Networks","DOI":"10.1016\/S0893-6080(02)00078-3"},{"issue":"2","key":"4_CR31","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G Schwarz","year":"1978","unstructured":"Schwarz G (1978). Estimating the dimension of a model. Ann Stat 6(2): 461\u2013464","journal-title":"Ann Stat"}],"container-title":["Intelligent Service Robotics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-007-0004-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11370-007-0004-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-007-0004-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,3]],"date-time":"2019-06-03T10:23:36Z","timestamp":1559557416000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11370-007-0004-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,7,27]]},"references-count":31,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2008,1]]}},"alternative-id":["4"],"URL":"https:\/\/doi.org\/10.1007\/s11370-007-0004-1","relation":{},"ISSN":["1861-2776","1861-2784"],"issn-type":[{"value":"1861-2776","type":"print"},{"value":"1861-2784","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007,7,27]]}}}