{"id":"https://openalex.org/W2099399628","doi":"https://doi.org/10.1109/icara.2000.4803997","title":"Position probability grids for mobile robots obtained by convolution","display_name":"Position probability grids for mobile robots obtained by convolution","publication_year":2009,"publication_date":"2009-02-01","ids":{"openalex":"https://openalex.org/W2099399628","doi":"https://doi.org/10.1109/icara.2000.4803997","mag":"2099399628"},"language":"en","primary_location":{"id":"doi:10.1109/icara.2000.4803997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icara.2000.4803997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 4th International Conference on Autonomous Robots and Agents","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070190602","display_name":"Felix Hackbarth","orcid":null},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I884043246","display_name":"Hamburg University of Technology","ror":"https://ror.org/04bs1pb34","country_code":"DE","type":"education","lineage":["https://openalex.org/I884043246"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Felix Hackbarth","raw_affiliation_strings":["Institute of Automation, Hamburg University of Technology, Hamburg, Germany","Institute of Automation, Hamburg University of Technology, 21073, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Hamburg University of Technology, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309","https://openalex.org/I884043246"]},{"raw_affiliation_string":"Institute of Automation, Hamburg University of Technology, 21073, Germany","institution_ids":["https://openalex.org/I159176309","https://openalex.org/I884043246"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070190602"],"corresponding_institution_ids":["https://openalex.org/I159176309","https://openalex.org/I884043246"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"578","last_page":"583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11615","display_name":"Control and Dynamics of Mobile Robots","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.8060019612312317},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.7290633916854858},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6934773921966553},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6788669228553772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6566277742385864},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5826120972633362},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5006823539733887},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4597390592098236},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.44086793065071106},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4320332109928131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42229920625686646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34962254762649536},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14419955015182495},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12462607026100159},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.11155232787132263},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10389149188995361}],"concepts":[{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.8060019612312317},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.7290633916854858},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6934773921966553},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6788669228553772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6566277742385864},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5826120972633362},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5006823539733887},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4597390592098236},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.44086793065071106},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4320332109928131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42229920625686646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34962254762649536},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14419955015182495},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12462607026100159},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.11155232787132263},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10389149188995361},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icara.2000.4803997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icara.2000.4803997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 4th International Conference on Autonomous Robots and Agents","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W107715831","https://openalex.org/W1537690864","https://openalex.org/W1575210522","https://openalex.org/W1579593387","https://openalex.org/W1591763911","https://openalex.org/W1611476298","https://openalex.org/W2024908906","https://openalex.org/W2030021468","https://openalex.org/W2115696586","https://openalex.org/W2125409550","https://openalex.org/W2148228392","https://openalex.org/W2173782939","https://openalex.org/W2948578514","https://openalex.org/W6604329173","https://openalex.org/W6636175460"],"related_works":["https://openalex.org/W2724195622","https://openalex.org/W4205669743","https://openalex.org/W1969991288","https://openalex.org/W4200210047","https://openalex.org/W2614963770","https://openalex.org/W2980469219","https://openalex.org/W287737911","https://openalex.org/W2551663027","https://openalex.org/W1511332864","https://openalex.org/W1665215014"],"abstract_inverted_index":{"The":[0,64],"paper":[1],"presents":[2],"an":[3,14],"approach":[4],"to":[5,61,107],"use":[6],"relative":[7,76],"sensor":[8,44,77],"information":[9,78,84],"for":[10,47,52],"position":[11,16,49,55,83,91,98],"estimation":[12],"in":[13],"absolute":[15,48,82],"probability":[17,92],"grid.":[18],"Here":[19],"relatively":[20],"measuring":[21],"sensors":[22,31,59],"are":[23,104],"the":[24,53,75,96],"odometry":[25],"and":[26,87],"nine":[27],"narrow":[28],"beam":[29],"infrared":[30],"with":[32,71],"nonlinear":[33],"characteristics":[34],"mounted":[35],"on":[36],"a":[37],"mobile":[38],"robot.":[39],"An":[40],"inaccurate":[41],"indoor":[42],"GPS":[43],"is":[45,79],"available":[46],"data.":[50,73],"However,":[51],"best":[54],"estimate":[56],"all":[57],"these":[58,102],"have":[60],"be":[62,69],"considered.":[63],"data":[65],"fusion":[66],"can":[67],"only":[68],"done":[70],"comparable":[72],"Therefore,":[74],"transformed":[80],"into":[81],"by":[85],"convolution":[86],"represented":[88],"as":[89],"individual":[90],"grids.":[93],"To":[94],"determine":[95],"resulting":[97],"of":[99],"one":[100],"robot":[101],"grids":[103],"combined":[105],"according":[106],"Bayes":[108],"theorem.":[109]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
