{"id":"https://openalex.org/W4400645814","doi":"https://doi.org/10.1109/iv55156.2024.10588514","title":"Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check","display_name":"Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400645814","doi":"https://doi.org/10.1109/iv55156.2024.10588514"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","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/A5093192059","display_name":"Sheng-Yao Kuan","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Sheng-Yao Kuan","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062299746","display_name":"Jen\u2010Hao Cheng","orcid":"https://orcid.org/0000-0003-0210-2185"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jen-Hao Cheng","raw_affiliation_strings":["University of Washington,USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101699930","display_name":"Hsiang-Wei Huang","orcid":"https://orcid.org/0000-0003-0373-9487"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hsiang-Wei Huang","raw_affiliation_strings":["University of Washington,USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103021774","display_name":"Wenhao Chai","orcid":"https://orcid.org/0000-0003-2611-0008"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenhao Chai","raw_affiliation_strings":["University of Washington,USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047672937","display_name":"Cheng-Yen Yang","orcid":"https://orcid.org/0009-0004-2631-6756"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng-Yen Yang","raw_affiliation_strings":["University of Washington,USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041766127","display_name":"Hugo Latapie","orcid":"https://orcid.org/0000-0003-2755-5930"},"institutions":[{"id":"https://openalex.org/I2801562743","display_name":"Cisco College","ror":"https://ror.org/03gc7jk79","country_code":"US","type":"education","lineage":["https://openalex.org/I2801562743"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hugo Latapie","raw_affiliation_strings":["Cisco,USA"],"affiliations":[{"raw_affiliation_string":"Cisco,USA","institution_ids":["https://openalex.org/I2801562743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038197511","display_name":"Gaowen Liu","orcid":"https://orcid.org/0000-0003-0236-5831"},"institutions":[{"id":"https://openalex.org/I2801562743","display_name":"Cisco College","ror":"https://ror.org/03gc7jk79","country_code":"US","type":"education","lineage":["https://openalex.org/I2801562743"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gaowen Liu","raw_affiliation_strings":["Cisco,USA"],"affiliations":[{"raw_affiliation_string":"Cisco,USA","institution_ids":["https://openalex.org/I2801562743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110513522","display_name":"Wu Bing-Fei","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bing-Fei Wu","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101702810","display_name":"Jenq\u2013Neng Hwang","orcid":"https://orcid.org/0000-0002-8877-2421"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jenq-Neng Hwang","raw_affiliation_strings":["University of Washington,USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5093192059"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":9.1078,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97108462,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2125","last_page":"2132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9941999912261963,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9941999912261963,"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":0.9868999719619751,"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":0.978600025177002,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7914884090423584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7362242937088013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6879476308822632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6775490045547485},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6015595197677612},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5143455266952515},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4612833857536316},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.44514793157577515},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44207990169525146},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.37517985701560974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19335749745368958},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08649662137031555}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7914884090423584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7362242937088013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6879476308822632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6775490045547485},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6015595197677612},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5143455266952515},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4612833857536316},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.44514793157577515},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44207990169525146},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.37517985701560974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19335749745368958},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08649662137031555},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2963323244","https://openalex.org/W2997747012","https://openalex.org/W2999423154","https://openalex.org/W3034314779","https://openalex.org/W3034604951","https://openalex.org/W3035461736","https://openalex.org/W3035574168","https://openalex.org/W3099746624","https://openalex.org/W3105073457","https://openalex.org/W3108426750","https://openalex.org/W3118479569","https://openalex.org/W3128655704","https://openalex.org/W3130463448","https://openalex.org/W3167095230","https://openalex.org/W3184439416","https://openalex.org/W3206598848","https://openalex.org/W3212045733","https://openalex.org/W4214558638","https://openalex.org/W4230808100","https://openalex.org/W4281773951","https://openalex.org/W4283722442","https://openalex.org/W4283748233","https://openalex.org/W4285357233","https://openalex.org/W4286904999","https://openalex.org/W4304192510","https://openalex.org/W4308080461","https://openalex.org/W4309134000","https://openalex.org/W4312707458","https://openalex.org/W4313117614","https://openalex.org/W4319866011","https://openalex.org/W4383066393","https://openalex.org/W4383108631","https://openalex.org/W4385804922","https://openalex.org/W4386057730","https://openalex.org/W4386076204","https://openalex.org/W4386076400","https://openalex.org/W4386076667","https://openalex.org/W4393023344","https://openalex.org/W4400644494","https://openalex.org/W4402702917","https://openalex.org/W4402916760","https://openalex.org/W6845720290","https://openalex.org/W6854917811","https://openalex.org/W6857581841","https://openalex.org/W6863443113"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W2963610131","https://openalex.org/W2965594636"],"abstract_inverted_index":{"In":[0],"the":[1,6,24,40,80,105],"domain":[2],"of":[3,8,26,43,107],"autonomous":[4,113],"driving,":[5],"integration":[7],"multi-modal":[9],"perception":[10],"techniques":[11],"based":[12],"on":[13,93,99],"data":[14],"from":[15],"diverse":[16],"sensors":[17],"has":[18],"demonstrated":[19],"substantial":[20],"progress.":[21],"Effectively":[22],"surpassing":[23],"capabilities":[25],"state-of-the-art":[27],"single-modality":[28],"detectors":[29],"through":[30],"sensor":[31,109],"fusion":[32,78,110],"remains":[33],"an":[34],"active":[35],"challenge.":[36],"This":[37],"work":[38],"leverages":[39],"respective":[41],"advantages":[42],"cameras":[44],"in":[45,50,79,111],"perspective":[46],"view":[47],"and":[48,60],"radars":[49],"Bird\u2019s":[51],"Eye":[52],"View":[53],"(BEV)":[54],"to":[55,75,84],"greatly":[56],"enhance":[57,76],"overall":[58],"detection":[59],"tracking":[61,81,101],"performance.":[62],"Our":[63],"approach,":[64],"Camera-Radar":[65],"Associated":[66],"Fusion":[67],"Tracking":[68],"Booster":[69],"(CRAFTBooster)":[70],"represents":[71],"a":[72],"pioneering":[73],"effort":[74],"radar-camera":[77],"stage,":[82],"contributing":[83],"improved":[85],"3D":[86],"MOT":[87],"accuracy.":[88],"The":[89],"superior":[90],"experimental":[91],"results":[92],"K-Radaar":[94],"dataset,":[95],"which":[96],"exhibit":[97],"5-6%":[98],"IDF1":[100],"performance":[102],"gain,":[103],"validate":[104],"potential":[106],"effective":[108],"advancing":[112],"driving.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
