{"id":"https://openalex.org/W1533037238","doi":"https://doi.org/10.1109/iecon.2014.7048903","title":"Iterative overlap-part estimation method for localization and generation of reliable terrain maps","display_name":"Iterative overlap-part estimation method for localization and generation of reliable terrain maps","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1533037238","doi":"https://doi.org/10.1109/iecon.2014.7048903","mag":"1533037238"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2014.7048903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2014.7048903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society","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/A5112662257","display_name":"Yasuharu Kunii","orcid":null},"institutions":[{"id":"https://openalex.org/I96679780","display_name":"Chuo University","ror":"https://ror.org/03qvqb743","country_code":"JP","type":"education","lineage":["https://openalex.org/I96679780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuharu Kunii","raw_affiliation_strings":["Chuo University","[Chuo-University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chuo University","institution_ids":["https://openalex.org/I96679780"]},{"raw_affiliation_string":"[Chuo-University]","institution_ids":["https://openalex.org/I96679780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102972583","display_name":"Naoki Hashimoto","orcid":"https://orcid.org/0000-0003-2228-4799"},"institutions":[{"id":"https://openalex.org/I96679780","display_name":"Chuo University","ror":"https://ror.org/03qvqb743","country_code":"JP","type":"education","lineage":["https://openalex.org/I96679780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Hashimoto","raw_affiliation_strings":["Chuo University","[Chuo-University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chuo University","institution_ids":["https://openalex.org/I96679780"]},{"raw_affiliation_string":"[Chuo-University]","institution_ids":["https://openalex.org/I96679780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061275111","display_name":"Noriaki Mizukami","orcid":"https://orcid.org/0000-0002-2246-5672"},"institutions":[{"id":"https://openalex.org/I96679780","display_name":"Chuo University","ror":"https://ror.org/03qvqb743","country_code":"JP","type":"education","lineage":["https://openalex.org/I96679780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriaki Mizukami","raw_affiliation_strings":["Chuo University","[Chuo-University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chuo University","institution_ids":["https://openalex.org/I96679780"]},{"raw_affiliation_string":"[Chuo-University]","institution_ids":["https://openalex.org/I96679780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.6034,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97118855,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"2792","last_page":"2797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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":1.0,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9965999722480774,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.7948595285415649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6988071799278259},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6047205924987793},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.5837218165397644},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5776312351226807},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5741968154907227},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5641777515411377},{"id":"https://openalex.org/keywords/global-map","display_name":"Global Map","score":0.5524590611457825},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5059420466423035},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4590086340904236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4554978013038635},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.44639596343040466},{"id":"https://openalex.org/keywords/digital-mapping","display_name":"Digital mapping","score":0.41125911474227905},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37088537216186523},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.31477105617523193},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1541014313697815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11601302027702332},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0942038893699646}],"concepts":[{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.7948595285415649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6988071799278259},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6047205924987793},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.5837218165397644},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5776312351226807},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5741968154907227},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5641777515411377},{"id":"https://openalex.org/C2779188883","wikidata":"https://www.wikidata.org/wiki/Q82446","display_name":"Global Map","level":3,"score":0.5524590611457825},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5059420466423035},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4590086340904236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4554978013038635},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.44639596343040466},{"id":"https://openalex.org/C181672929","wikidata":"https://www.wikidata.org/wiki/Q4115141","display_name":"Digital mapping","level":2,"score":0.41125911474227905},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37088537216186523},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.31477105617523193},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1541014313697815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11601302027702332},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0942038893699646},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2014.7048903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2014.7048903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society","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":17,"referenced_works":["https://openalex.org/W1489258026","https://openalex.org/W1567242735","https://openalex.org/W1968932964","https://openalex.org/W1993267444","https://openalex.org/W2011549544","https://openalex.org/W2022772618","https://openalex.org/W2049633694","https://openalex.org/W2049981393","https://openalex.org/W2081794857","https://openalex.org/W2099606917","https://openalex.org/W2118104180","https://openalex.org/W2128203477","https://openalex.org/W2134766262","https://openalex.org/W2161900517","https://openalex.org/W6642675602","https://openalex.org/W6679121286","https://openalex.org/W6679595560"],"related_works":["https://openalex.org/W4399671601","https://openalex.org/W1992962589","https://openalex.org/W3032871857","https://openalex.org/W1743191351","https://openalex.org/W1996725752","https://openalex.org/W2367524793","https://openalex.org/W2334516894","https://openalex.org/W2737204647","https://openalex.org/W2186313291","https://openalex.org/W1511159939"],"abstract_inverted_index":{"For":[0],"efficient":[1],"wide-area":[2],"exploration":[3,128],"by":[4,24,115,141],"an":[5,73],"autonomous":[6],"planetary":[7,127],"rover,":[8],"the":[9,54,99,103,122,150],"generation":[10],"of":[11,46,60,67,75,105,121,126],"a":[12,38,42,70,76,106,116,133,171,175],"global":[13,20,108,139],"environmental":[14],"map":[15,21],"is":[16,22,158],"very":[17,91],"important.":[18],"A":[19],"generated":[23],"matching":[25],"and":[26,53,72,94,147,163],"overlapping":[27,55,151],"terrain":[28,154],"features":[29,84],"from":[30,90,168],"digital":[31],"elevation":[32],"maps":[33,140],"that":[34,86],"are":[35],"obtained":[36,167],"during":[37],"rover":[39],"traveling":[40],"in":[41,50,57,69,98,144,153,174],"region.":[43],"Each":[44],"set":[45,59],"data":[47,61,65,87,162,166],"contains":[48],"information":[49],"different":[51],"areas,":[52],"part":[56],"each":[58],"may":[62],"be":[63,113],"missing":[64],"because":[66,120],"difference":[68],"position":[71],"orientation":[74],"rover.":[77],"Conventional":[78],"alignment":[79],"techniques":[80],"based":[81],"on":[82],"comparing":[83],"assume":[85],"were":[88],"measured":[89,100,145],"similar":[92],"positions":[93],"orientations.":[95],"Otherwise,":[96],"differences":[97,143],"region":[101],"deteriorate":[102],"quality":[104],"resulting":[107],"map.":[109],"This":[110],"problem":[111],"should":[112],"addressed":[114],"fairly":[117],"simple":[118],"way":[119],"limited":[123],"processing":[124],"capabilities":[125],"rovers.":[129],"Hence,":[130],"we":[131],"propose":[132],"method":[134,157],"for":[135],"generating":[136],"highly":[137],"accurate":[138],"considering":[142],"regions":[146],"iteratively":[148],"estimating":[149],"parts":[152],"data.":[155],"The":[156],"evaluated":[159],"using":[160,170],"simulated":[161],"some":[164],"experimental":[165],"experiments":[169],"mobile":[172],"robot":[173],"real":[176],"environment.":[177]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
