{"id":"https://openalex.org/W2070866676","doi":"https://doi.org/10.1109/ivs.2013.6629556","title":"Building variable resolution occupancy grid map from stereoscopic system — A quadtree based approach","display_name":"Building variable resolution occupancy grid map from stereoscopic system — A quadtree based approach","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2070866676","doi":"https://doi.org/10.1109/ivs.2013.6629556","mag":"2070866676"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2013.6629556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","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/A5100401819","display_name":"You Li","orcid":"https://orcid.org/0000-0002-0152-1655"},"institutions":[{"id":"https://openalex.org/I37553959","display_name":"Universit\u00e9 de technologie de belfort-montb\u00e9liard","ror":"https://ror.org/05bn3m307","country_code":"FR","type":"education","lineage":["https://openalex.org/I37553959"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"You Li","raw_affiliation_strings":["Institut de Recherche sur les Transports, lEnergie et la Soci\u00e9t\u00e9, laboratoire Syst\u00e8mes et Transport (IRTES-SET), Universit\u00e9 de Technologie de Belfort-Montb\u00e9liard, Belfort, France","Inst. de Rech. sur les Transp., l'Energie et la Soc., Univ. de Technol. de Belfort-Montbeliard, Belfort, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut de Recherche sur les Transports, lEnergie et la Soci\u00e9t\u00e9, laboratoire Syst\u00e8mes et Transport (IRTES-SET), Universit\u00e9 de Technologie de Belfort-Montb\u00e9liard, Belfort, France","institution_ids":["https://openalex.org/I37553959"]},{"raw_affiliation_string":"Inst. de Rech. sur les Transp., l'Energie et la Soc., Univ. de Technol. de Belfort-Montbeliard, Belfort, France","institution_ids":["https://openalex.org/I37553959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083239938","display_name":"Yassine Ruichek","orcid":"https://orcid.org/0000-0003-4795-8569"},"institutions":[{"id":"https://openalex.org/I37553959","display_name":"Universit\u00e9 de technologie de belfort-montb\u00e9liard","ror":"https://ror.org/05bn3m307","country_code":"FR","type":"education","lineage":["https://openalex.org/I37553959"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yassine Ruichek","raw_affiliation_strings":["Institut de Recherche sur les Transports, lEnergie et la Soci\u00e9t\u00e9, laboratoire Syst\u00e8mes et Transport (IRTES-SET), Universit\u00e9 de Technologie de Belfort-Montb\u00e9liard, Belfort, France","Inst. de Rech. sur les Transp., l'Energie et la Soc., Univ. de Technol. de Belfort-Montbeliard, Belfort, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut de Recherche sur les Transports, lEnergie et la Soci\u00e9t\u00e9, laboratoire Syst\u00e8mes et Transport (IRTES-SET), Universit\u00e9 de Technologie de Belfort-Montb\u00e9liard, Belfort, France","institution_ids":["https://openalex.org/I37553959"]},{"raw_affiliation_string":"Inst. de Rech. sur les Transp., l'Energie et la Soc., Univ. de Technol. de Belfort-Montbeliard, Belfort, France","institution_ids":["https://openalex.org/I37553959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37553959"],"apc_list":null,"apc_paid":null,"fwci":0.2079,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.47599426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"744","last_page":"749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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":0.9966999888420105,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9959999918937683,"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/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.8847230672836304},{"id":"https://openalex.org/keywords/quadtree","display_name":"Quadtree","score":0.8738324642181396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6969959735870361},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6374707818031311},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6359968185424805},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.589795708656311},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.578889012336731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5450255870819092},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.5408113598823547},{"id":"https://openalex.org/keywords/grid-reference","display_name":"Grid reference","score":0.4615931510925293},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41520148515701294},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2551703453063965},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17349976301193237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14333128929138184},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.09972253441810608},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08355212211608887},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07723262906074524}],"concepts":[{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.8847230672836304},{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.8738324642181396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6969959735870361},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6374707818031311},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6359968185424805},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.589795708656311},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.578889012336731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5450255870819092},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.5408113598823547},{"id":"https://openalex.org/C156172958","wikidata":"https://www.wikidata.org/wiki/Q3438407","display_name":"Grid reference","level":4,"score":0.4615931510925293},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41520148515701294},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2551703453063965},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17349976301193237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14333128929138184},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.09972253441810608},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08355212211608887},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07723262906074524},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2013.6629556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W80201019","https://openalex.org/W1568331653","https://openalex.org/W1912649600","https://openalex.org/W1924453835","https://openalex.org/W1991752086","https://openalex.org/W2008196645","https://openalex.org/W2036204721","https://openalex.org/W2100193157","https://openalex.org/W2117248802","https://openalex.org/W2122736190","https://openalex.org/W2134550343","https://openalex.org/W2142085191","https://openalex.org/W2142238328","https://openalex.org/W2154418813","https://openalex.org/W2162010041","https://openalex.org/W2164638305","https://openalex.org/W6603194255","https://openalex.org/W6640185247"],"related_works":["https://openalex.org/W2107319482","https://openalex.org/W2145602062","https://openalex.org/W2927957939","https://openalex.org/W3005654007","https://openalex.org/W2854504557","https://openalex.org/W2106649082","https://openalex.org/W129792992","https://openalex.org/W3116399485","https://openalex.org/W1990684564","https://openalex.org/W3091223906","https://openalex.org/W2165677293","https://openalex.org/W2071319577","https://openalex.org/W1585854120","https://openalex.org/W2248854783","https://openalex.org/W2747753476","https://openalex.org/W2787549181","https://openalex.org/W3152657932","https://openalex.org/W2217407910","https://openalex.org/W2288365613","https://openalex.org/W2769422688"],"abstract_inverted_index":{"In":[0,41,99],"intelligent":[1],"vehicle":[2],"field,":[3],"occupancy":[4,15,46,89,163],"grid":[5,47,90,105,164,179],"maps":[6,53,65],"are":[7,28,66],"popular":[8],"tools":[9],"for":[10],"representing":[11],"the":[12,18,77,100,120,137,144,148,160,176],"environment.":[13],"Usually,":[14],"grids,":[16],"mapping":[17,48,165],"environment":[19],"as":[20],"a":[21,86,103,108,114],"field":[22],"of":[23,33,44,63,143,178],"uniformly":[24],"distributed":[25],"binary/ternary":[26],"variables,":[27],"generated":[29],"by":[30,84,131,182],"various":[31],"kinds":[32],"sensors":[34],"(e.g.":[35],"lidar,":[36],"radar,":[37],"monocular/binocular":[38],"vision":[39],"system).":[40],"literature,":[42],"most":[43],"proposed":[45,101,145],"methods":[49],"create":[50],"array-based":[51],"fixed-resolution":[52],"in":[54,136],"either":[55],"cartesian,":[56],"polar,":[57],"or":[58,133],"column/disparity":[59],"spaces.":[60],"The":[61,140],"problems":[62],"such":[64],"accuracy":[67,177],"deficiency":[68],"and":[69],"prohibitive":[70],"memory":[71],"cost":[72],"when":[73],"trying":[74],"to":[75,127,150,189],"increase":[76],"resolution.":[78],"This":[79],"paper":[80],"addresses":[81],"these":[82],"issues":[83],"presenting":[85],"novel":[87],"variableresolution":[88],"map":[91,106,123,180],"based":[92,162],"on":[93],"quadtree":[94,138],"structure":[95],"from":[96,113,187],"stereovision":[97],"measurements.":[98],"method,":[102],"quadtree-based":[104],"with":[107,156,171],"settled":[109],"resolution":[110,126],"is":[111,147,167,185],"calculated":[112],"stereoscopic":[115],"system":[116],"at":[117],"first.":[118],"Then,":[119],"previously":[121],"created":[122,181],"adapts":[124],"its":[125],"actual":[128],"stereo":[129],"measurements":[130],"merging":[132],"splitting":[134],"nodes":[135],"structure.":[139],"principal":[141],"advantage":[142],"method":[146,184],"ability":[149],"improve":[151],"map's":[152],"accuracy.":[153],"Meanwhile,":[154],"compared":[155],"some":[157],"existing":[158],"methods,":[159],"stereo-vision":[161],"algorithm":[166],"improved.":[168],"Experimental":[169],"results":[170],"real":[172],"datasets":[173],"demonstrate":[174],"that":[175],"our":[183],"promoted":[186],"decimeter":[188],"centimeter.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}