{"id":"https://openalex.org/W4408913026","doi":"https://doi.org/10.1108/ir-08-2024-0372","title":"A moving object classification and dense sampling method for dynamic object tracking VSLAM system","display_name":"A moving object classification and dense sampling method for dynamic object tracking VSLAM system","publication_year":2025,"publication_date":"2025-03-27","ids":{"openalex":"https://openalex.org/W4408913026","doi":"https://doi.org/10.1108/ir-08-2024-0372"},"language":"en","primary_location":{"id":"doi:10.1108/ir-08-2024-0372","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-08-2024-0372","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: the international journal of robotics research and application","raw_type":"journal-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/A5101423664","display_name":"Zefeng Liu","orcid":"https://orcid.org/0009-0001-4518-8436"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefeng Liu","raw_affiliation_strings":["Xinjiang University , Urumqi,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University , Urumqi,","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091604093","display_name":"Teng Ran","orcid":"https://orcid.org/0000-0002-4496-7454"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Ran","raw_affiliation_strings":["Xinjiang University , Urumqi,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University , Urumqi,","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111728701","display_name":"Wendong Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wendong Xiao","raw_affiliation_strings":["Xinjiang University , Urumqi,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University , Urumqi,","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007505433","display_name":"Jianbo Zhang","orcid":"https://orcid.org/0000-0002-9066-709X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University , Shanghai,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University , Shanghai,","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101796567","display_name":"Song Peng","orcid":"https://orcid.org/0000-0001-9784-0900"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Peng","raw_affiliation_strings":["Xinjiang University , Urumqi,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University , Urumqi,","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100390896","display_name":"Liang Yuan","orcid":"https://orcid.org/0000-0002-7068-8766"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Yuan","raw_affiliation_strings":["Shanghai Jiao Tong University , Shanghai,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University , Shanghai,","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90768868,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"52","issue":"5","first_page":"783","last_page":"791"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9954000115394592,"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/computer-vision","display_name":"Computer vision","score":0.7526767253875732},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7028123736381531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6992108821868896},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5679656267166138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5061015486717224},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4315930902957916},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41432666778564453},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.050241947174072266}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7526767253875732},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7028123736381531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6992108821868896},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5679656267166138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5061015486717224},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4315930902957916},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41432666778564453},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.050241947174072266},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ir-08-2024-0372","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-08-2024-0372","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: the international journal of robotics research and application","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W612478963","https://openalex.org/W2046120746","https://openalex.org/W2047328415","https://openalex.org/W2085261163","https://openalex.org/W2097649661","https://openalex.org/W2117228865","https://openalex.org/W2158240273","https://openalex.org/W2535547924","https://openalex.org/W2797477360","https://openalex.org/W2808571300","https://openalex.org/W2950989657","https://openalex.org/W2963881378","https://openalex.org/W2998498821","https://openalex.org/W3028228043","https://openalex.org/W3102327032","https://openalex.org/W3106458387","https://openalex.org/W3108513211","https://openalex.org/W3146082954","https://openalex.org/W3186582707","https://openalex.org/W4311167006","https://openalex.org/W4312290933","https://openalex.org/W4324290686","https://openalex.org/W4383109197","https://openalex.org/W4391723800"],"related_works":["https://openalex.org/W4389065903","https://openalex.org/W2158788032","https://openalex.org/W2385949326","https://openalex.org/W2623195638","https://openalex.org/W1966005655","https://openalex.org/W3135795035","https://openalex.org/W2789220062","https://openalex.org/W2811496562","https://openalex.org/W2094665863","https://openalex.org/W2071984725"],"abstract_inverted_index":{"Purpose":[0],"Learning-based":[1],"methods":[2,230,239,259],"fail":[3],"to":[4,12,23,32,49,88,91,109,121,138,149,204,235,240],"use":[5],"geometric":[6,229,258],"information":[7,70],"fully":[8],"and":[9,43,68,114,118,165,186,208,231,257,277],"are":[10,136],"vulnerable":[11],"segmentation":[13],"accuracy.":[14],"This":[15,46,174,219],"paper":[16,154,175],"introduces":[17,105],"a":[18,29,106,167,170,190,233,248],"feature":[19],"point":[20],"classification":[21],"module":[22],"the":[24,34,51,56,60,66,72,75,84,93,123,156,160,177,181,198,205,212,237,252,270,282,300],"tracking":[25],"thread,":[26],"which":[27,62,291],"uses":[28],"Gaussian":[30,107],"distribution":[31,108],"model":[33,110],"interframe":[35,111],"distance":[36,85,112,147],"variation":[37],"induced":[38],"by":[39,54],"combining":[40,225],"scene":[41,116],"flow":[42,117],"epipolar":[44,119],"constraint.":[45],"study":[47],"aims":[48],"improve":[50],"positioning":[52],"accuracy":[53],"determining":[55],"motion":[57,124],"state":[58,69,125],"of":[59,71,97,126,214,254,266,273,286,294,302],"object,":[61],"can":[63,209],"accurately":[64,210],"obtain":[65],"attitude":[67,213],"object.":[73],"Meanwhile,":[74],"authors":[76],"designed":[77],"an":[78,140],"adaptive":[79,141],"sampling":[80,143],"strategy":[81,144],"based":[82,145],"on":[83,146,159,180],"transformation,":[86],"aiming":[87],"in":[89,288,299],"order":[90],"reduce":[92],"pose":[94],"estimation":[95,265],"error":[96],"dynamic":[98,134,215,289],"objects":[99,131,135],"during":[100],"tracking.":[101],"Design/methodology/approach":[102],"The":[103,193,245],"algorithm":[104,158,179,200,246],"variations":[113],"combines":[115],"constraints":[120],"perceive":[122],"real":[127,206],"objects.":[128,216],"In":[129],"addition,":[130],"recognized":[132],"as":[133],"used":[137],"design":[139],"dense":[142],"transformations":[148],"filter":[150],"noise.":[151],"Finally,":[152],"this":[153],"evaluates":[155,176],"proposed":[157,178,199],"publicly":[161,182],"available":[162,183],"KITTI":[163,184],"dataset":[164,185],"perform":[166],"validation":[168],"using":[169,189],"mobile":[171,191],"robot.":[172,192],"Findings":[173],"validates":[187],"it":[188],"experimental":[194],"results":[195],"show":[196],"that":[197],"is":[201,278,292],"closely":[202],"related":[203],"situation":[207],"estimate":[211],"Social":[217],"implications":[218],"approach":[220],"provides":[221,232,247],"new":[222,249],"ideas":[223],"for":[224,251,280,297],"deep":[226,255],"learning":[227,256],"with":[228,260],"path":[234],"expand":[236],"traditional":[238,271],"remove":[241],"noise":[242,275],"points.":[243],"Originality/value":[244],"idea":[250],"combination":[253],"applicable":[261],"localization":[262],"accuracy,":[263],"better":[264],"object":[267],"attitude,":[268],"extends":[269],"method":[272],"removing":[274],"points,":[276],"crucial":[279],"improving":[281],"autonomous":[283],"navigation":[284],"ability":[285],"robots":[287],"environments,":[290],"also":[293],"great":[295],"significance":[296],"applications":[298],"field":[301],"industrial":[303],"robotics.":[304]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
