{"id":"https://openalex.org/W4298616724","doi":"https://doi.org/10.1080/01691864.2022.2126732","title":"Moving objects extraction for building environmental maps describing human walking activity using a 3D LiDAR","display_name":"Moving objects extraction for building environmental maps describing human walking activity using a 3D LiDAR","publication_year":2022,"publication_date":"2022-10-01","ids":{"openalex":"https://openalex.org/W4298616724","doi":"https://doi.org/10.1080/01691864.2022.2126732"},"language":"en","primary_location":{"id":"doi:10.1080/01691864.2022.2126732","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01691864.2022.2126732","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1080/01691864.2022.2126732","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074601635","display_name":"Takumi Nishio","orcid":null},"institutions":[{"id":"https://openalex.org/I193666615","display_name":"Kawasaki Heavy Industries (Japan)","ror":"https://ror.org/01sggg367","country_code":"JP","type":"company","lineage":["https://openalex.org/I193666615"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takumi Nishio","raw_affiliation_strings":["Kawasaki Heavy Industries, Ltd., Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"Kawasaki Heavy Industries, Ltd., Hyogo, Japan","institution_ids":["https://openalex.org/I193666615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023242375","display_name":"Mihoko Niitsuma","orcid":"https://orcid.org/0009-0008-3800-7319"},"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":true,"raw_author_name":"Mihoko Niitsuma","raw_affiliation_strings":["Department of Precision Mechanics, Chuo University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Precision Mechanics, Chuo University, Tokyo, Japan","institution_ids":["https://openalex.org/I96679780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023242375"],"corresponding_institution_ids":["https://openalex.org/I96679780"],"apc_list":null,"apc_paid":null,"fwci":0.4257,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.5560149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"36","issue":"23","first_page":"1291","last_page":"1304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9930999875068665,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9861999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6857786774635315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.640857994556427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5972498655319214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5572406649589539},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5487570762634277},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.522637128829956},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5206274390220642},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2111966907978058},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1936594545841217}],"concepts":[{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6857786774635315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.640857994556427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5972498655319214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5572406649589539},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5487570762634277},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.522637128829956},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5206274390220642},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2111966907978058},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1936594545841217},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01691864.2022.2126732","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01691864.2022.2126732","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/01691864.2022.2126732","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01691864.2022.2126732","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522795305","https://openalex.org/W1940621874","https://openalex.org/W1964475161","https://openalex.org/W2001563151","https://openalex.org/W2053939793","https://openalex.org/W2069127380","https://openalex.org/W2069151624","https://openalex.org/W2099606917","https://openalex.org/W2102402541","https://openalex.org/W2103820944","https://openalex.org/W2126786328","https://openalex.org/W2129725504","https://openalex.org/W2142729340","https://openalex.org/W2164437425","https://openalex.org/W2291306286","https://openalex.org/W2344601550","https://openalex.org/W2544953446","https://openalex.org/W2897790791","https://openalex.org/W2947240406","https://openalex.org/W2966377333","https://openalex.org/W4221002858"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W4210818033","https://openalex.org/W4221065211"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"an":[3],"indoor":[4,16],"movable":[5,29,49,64],"static":[6,37,50,65],"object":[7],"extraction":[8],"approach":[9],"for":[10,47],"building":[11],"environmental":[12],"maps":[13],"that":[14,62],"describe":[15],"human":[17],"activities.":[18],"In":[19],"particular,":[20],"it":[21],"is":[22],"essential":[23],"to":[24],"distinguishing":[25],"people":[26,76],"from":[27],"non-human":[28],"objects.":[30,81],"To":[31],"address":[32],"this":[33],"issue,":[34],"we":[35],"classify":[36],"objects":[38,51,66],"into":[39],"three":[40],"categories":[41],"based":[42],"on":[43],"their":[44],"features.":[45],"Methods":[46],"extracting":[48],"using":[52],"each":[53],"feature":[54],"are":[55],"presented.":[56],"We":[57],"conducted":[58],"experiments":[59],"and":[60,70,74],"confirmed":[61],"the":[63],"were":[67,77],"successfully":[68],"detected":[69],"redefined":[71],"as":[72,79],"backgrounds,":[73],"only":[75],"determined":[78],"dynamic":[80]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
