{"id":"https://openalex.org/W2154734240","doi":"https://doi.org/10.1109/robio.2010.5723459","title":"Dictionary-based map compression using modified RANSAC map-matching","display_name":"Dictionary-based map compression using modified RANSAC map-matching","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2154734240","doi":"https://doi.org/10.1109/robio.2010.5723459","mag":"2154734240"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2010.5723459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2010.5723459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Robotics and Biomimetics","raw_type":"proceedings-article"},"type":"article","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/A5059454525","display_name":"Nagasaka Tomomi","orcid":null},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Nagasaka Tomomi","raw_affiliation_strings":["Faculty of Engineering, University of Fukui, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007423029","display_name":"Tanaka Kanji","orcid":"https://orcid.org/0000-0002-1143-5478"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tanaka Kanji","raw_affiliation_strings":["Faculty of Engineering, University of Fukui, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059454525"],"corresponding_institution_ids":["https://openalex.org/I111966504"],"apc_list":null,"apc_paid":null,"fwci":4.3066,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.93649676,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"980","last_page":"985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.996999979019165,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11106","display_name":"Data Management and Algorithms","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.9425768852233887},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7893705368041992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7456049919128418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6305893659591675},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5641207695007324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.537439227104187},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5361784100532532},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4771144688129425},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.44969093799591064},{"id":"https://openalex.org/keywords/map-matching","display_name":"Map matching","score":0.42911583185195923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3389221429824829},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.18760502338409424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15220516920089722},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07878580689430237}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.9425768852233887},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7893705368041992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7456049919128418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6305893659591675},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5641207695007324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.537439227104187},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5361784100532532},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4771144688129425},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.44969093799591064},{"id":"https://openalex.org/C2778559875","wikidata":"https://www.wikidata.org/wiki/Q1892023","display_name":"Map matching","level":3,"score":0.42911583185195923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3389221429824829},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.18760502338409424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15220516920089722},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07878580689430237},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2010.5723459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2010.5723459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Robotics and Biomimetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1517069437","https://openalex.org/W2033336992","https://openalex.org/W2057749491","https://openalex.org/W2106199912","https://openalex.org/W2109069996","https://openalex.org/W2111112895","https://openalex.org/W2115990511","https://openalex.org/W2118121744","https://openalex.org/W2119411698","https://openalex.org/W2122059483","https://openalex.org/W2122107023","https://openalex.org/W2125543527","https://openalex.org/W2128017662","https://openalex.org/W2129363926","https://openalex.org/W2131846894","https://openalex.org/W2134138606","https://openalex.org/W2139970544","https://openalex.org/W2148963710","https://openalex.org/W2158187199","https://openalex.org/W2164785268","https://openalex.org/W2171011251","https://openalex.org/W2534320940","https://openalex.org/W2913932916","https://openalex.org/W6631173521","https://openalex.org/W6758860047"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2032414556","https://openalex.org/W2169871401","https://openalex.org/W2057878850"],"abstract_inverted_index":{"Obtaining":[0],"a":[1,5,13,33],"compact":[2],"representation":[3],"of":[4,36,43,49,82],"large-size":[6],"map":[7,27,53,83],"built":[8],"by":[9,66],"mapper":[10],"robots":[11],"is":[12,30,46],"critical":[14],"issue":[15],"for":[16],"information":[17],"sharing":[18],"in":[19,80],"robotic":[20],"sensor":[21],"networks.":[22],"In":[23],"the":[24,44,47],"paper,":[25],"this":[26],"compression":[28,54,84],"problem":[29],"explored":[31],"from":[32],"novel":[34],"perspective":[35],"lossless":[37],"data":[38],"compression.":[39],"The":[40],"primary":[41],"contribution":[42],"paper":[45],"proposal":[48],"an":[50],"efficient":[51,64],"dictionary-based":[52],"approach":[55],"employing":[56],"RANSAC":[57,69],"map-matching":[58],"techniques.":[59],"We":[60],"also":[61],"present":[62],"several":[63],"schemes":[65],"using":[67],"preemptive":[68],"as":[70,72,86,88],"well":[71,87],"adaptive":[73],"sample":[74],"size.":[75],"Experiments":[76],"show":[77],"promising":[78],"results":[79],"terms":[81],"ratio":[85],"computational":[89],"efficiency.":[90]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}