{"id":"https://openalex.org/W4405785340","doi":"https://doi.org/10.1109/iros58592.2024.10801597","title":"Enhancing 3D Single Object Tracking with Efficient Point Cloud Segmentation","display_name":"Enhancing 3D Single Object Tracking with Efficient Point Cloud Segmentation","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405785340","doi":"https://doi.org/10.1109/iros58592.2024.10801597"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10801597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5101569639","display_name":"Yushi Yang","orcid":"https://orcid.org/0009-0004-1980-0750"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushi Yang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Electronic and Optical Engineering, College of Flexible Electronics (Future Technology),Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Electronic and Optical Engineering, College of Flexible Electronics (Future Technology),Nanjing,China,210023","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088609880","display_name":"Baojie Fan","orcid":"https://orcid.org/0000-0002-1627-9726"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baojie Fan","raw_affiliation_strings":["College of Automation and College, Artificial Intelligence, Nanjing University of Posts and Telecommunications,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation and College, Artificial Intelligence, Nanjing University of Posts and Telecommunications,Nanjing,China,210023","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080282946","display_name":"Yuyu Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyu Jiang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation and College, Artificial Intelligence,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation and College, Artificial Intelligence,Nanjing,China,210023","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103116315","display_name":"Wuyang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuyang Zhou","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation and College, Artificial Intelligence,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation and College, Artificial Intelligence,Nanjing,China,210023","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067332736","display_name":"Chen Dong","orcid":"https://orcid.org/0000-0001-7546-3403"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Chen","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Electronic and Optical Engineering, College of Flexible Electronics (Future Technology),Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Electronic and Optical Engineering, College of Flexible Electronics (Future Technology),Nanjing,China,210023","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100591719","display_name":"Hongxin Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hongxin Xu","raw_affiliation_strings":["Delft University of Technology Landbergstraat 152628 CE Delft"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology Landbergstraat 152628 CE Delft","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9619,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82603774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"11631","last_page":"11638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9836999773979187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7498114109039307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.699982762336731},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6838662028312683},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6170302629470825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5990225076675415},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5434868335723877},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5193968415260315},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4941108524799347},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.44610750675201416},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4425722658634186}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7498114109039307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699982762336731},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6838662028312683},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6170302629470825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5990225076675415},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5434868335723877},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5193968415260315},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4941108524799347},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.44610750675201416},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4425722658634186},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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:10.1109/iros58592.2024.10801597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2150066425","https://openalex.org/W2962922818","https://openalex.org/W2988715931","https://openalex.org/W2990613095","https://openalex.org/W3034239841","https://openalex.org/W3035574168","https://openalex.org/W3035641096","https://openalex.org/W3093537218","https://openalex.org/W3118562309","https://openalex.org/W3167095230","https://openalex.org/W3194700450","https://openalex.org/W3199838280","https://openalex.org/W3202983506","https://openalex.org/W3208501016","https://openalex.org/W4296912875","https://openalex.org/W4308783087","https://openalex.org/W4312903973","https://openalex.org/W4312950653","https://openalex.org/W4313057812","https://openalex.org/W4313059369","https://openalex.org/W4313152844","https://openalex.org/W4382568075","https://openalex.org/W4385482925","https://openalex.org/W4385801295","https://openalex.org/W4386072382","https://openalex.org/W4387730130","https://openalex.org/W4392309450","https://openalex.org/W6739778489","https://openalex.org/W6753266022","https://openalex.org/W6763422710","https://openalex.org/W6777357828","https://openalex.org/W6839446344"],"related_works":["https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W1522196789","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852"],"abstract_inverted_index":{"3D":[0,66],"single":[1,67],"object":[2,68],"tracking":[3,29,56,153],"(SOT)":[4],"based":[5],"on":[6,32,118,141],"point":[7,44,76,151],"cloud":[8,45,77,152],"has":[9],"attracted":[10],"much":[11],"attention":[12],"due":[13],"to":[14,53,103,115],"its":[15],"important":[16],"role":[17],"in":[18,42,154],"machine":[19],"vision":[20],"and":[21,96,134,143,157],"autonomous":[22],"driving.":[23],"Recently,":[24],"M2-Track":[25],"proposes":[26],"a":[27],"two-stage":[28],"structure":[30],"centered":[31],"motion,":[33],"but":[34],"they":[35],"ignore":[36],"the":[37,49,60,80,88,93,98,101,109,119,123],"effect":[38],"of":[39,51,100,122],"segmentation":[40,83],"errors":[41],"sparse":[43],"scenarios,":[46],"which":[47],"hinder":[48],"ability":[50,99],"networks":[52,133],"accurately":[54],"represent":[55],"targets.":[57],"To":[58],"solve":[59],"problems,":[61],"we":[62],"propose":[63],"an":[64],"efficient":[65],"tracker":[69],"(Abbr.":[70],"EST)":[71],"that":[72,147],"can":[73],"effectively":[74],"segment":[75],"features.":[78],"Firstly,":[79],"proposed":[81],"fusion":[82],"module":[84,112,126],"makes":[85],"up":[86],"for":[87],"feature":[89],"loss":[90],"caused":[91],"by":[92,130],"downsampling":[94],"strategy":[95],"enhances":[97],"network":[102],"recognize":[104],"foreground":[105],"points.":[106],"In":[107],"addition,":[108],"global":[110,128],"embedded":[111],"is":[113],"used":[114],"further":[116],"focus":[117],"crucial":[120],"features":[121],"target.":[124],"This":[125],"provides":[127],"information":[129],"using":[131],"residual":[132],"adding":[135],"background":[136],"information.":[137],"Numerous":[138],"experiments":[139],"conducted":[140],"KITTI":[142],"NuScenes":[144],"benchmarks":[145],"show":[146],"EST":[148],"achieves":[149],"superior":[150],"both":[155],"performance":[156],"efficiency.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
