{"id":"https://openalex.org/W3172841933","doi":"https://doi.org/10.1109/lra.2021.3084891","title":"Robust Data Association for Multi-Object Detection in Maritime Environments Using Camera and Radar Measurements","display_name":"Robust Data Association for Multi-Object Detection in Maritime Environments Using Camera and Radar Measurements","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3172841933","doi":"https://doi.org/10.1109/lra.2021.3084891","mag":"3172841933"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2021.3084891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3084891","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","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/A5006327139","display_name":"Keunhwan Kim","orcid":"https://orcid.org/0000-0002-0784-9301"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Keunhwan Kim","raw_affiliation_strings":["Intelligent Robotics Research Center, Korea Electronics Technology Institute, Bucheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0784-9301","affiliations":[{"raw_affiliation_string":"Intelligent Robotics Research Center, Korea Electronics Technology Institute, Bucheon, South Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011681417","display_name":"Jonghwi Kim","orcid":"https://orcid.org/0000-0001-7484-7982"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jonghwi Kim","raw_affiliation_strings":["Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7484-7982","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054727482","display_name":"Jinwhan Kim","orcid":"https://orcid.org/0000-0001-6886-2449"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinwhan Kim","raw_affiliation_strings":["Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-6886-2449","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006327139"],"corresponding_institution_ids":["https://openalex.org/I4210131650"],"apc_list":null,"apc_paid":null,"fwci":20.8021,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.98837389,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"6","issue":"3","first_page":"5865","last_page":"5872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9979000091552734,"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":0.9979000091552734,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7912740707397461},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6997557282447815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6982519030570984},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6683014631271362},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6177617311477661},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5292322635650635},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4601060152053833},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45962750911712646},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.44211190938949585},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42295610904693604},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42120420932769775},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21027624607086182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1289587914943695}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7912740707397461},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6997557282447815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6982519030570984},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6683014631271362},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6177617311477661},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5292322635650635},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4601060152053833},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45962750911712646},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.44211190938949585},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42295610904693604},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42120420932769775},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21027624607086182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1289587914943695},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2021.3084891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3084891","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2031489346","https://openalex.org/W2042149502","https://openalex.org/W2082796773","https://openalex.org/W2188358482","https://openalex.org/W2296901909","https://openalex.org/W2336883343","https://openalex.org/W2505294839","https://openalex.org/W2517199115","https://openalex.org/W2552331162","https://openalex.org/W2765940344","https://openalex.org/W2796347433","https://openalex.org/W2979711725","https://openalex.org/W2990171823","https://openalex.org/W3001138495","https://openalex.org/W3106237718","https://openalex.org/W4293584584","https://openalex.org/W6639824700","https://openalex.org/W6725047729","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2397288865","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W2368524271","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2095030957","https://openalex.org/W2066827917"],"abstract_inverted_index":{"This":[0],"letter":[1],"presents":[2],"a":[3,69,120],"robust":[4,89],"data":[5,90],"association":[6,91],"method":[7,87,111],"for":[8,36],"fusing":[9],"camera":[10,49,61,100],"and":[11,22,51,62,74,96,101,106],"marine":[12],"radar":[13,55,63,102],"measurements":[14],"in":[15,119],"order":[16],"to":[17,28,44],"automatically":[18],"detect":[19],"surface":[20],"ships":[21],"determine":[23],"their":[24],"locations":[25],"with":[26],"respect":[27],"the":[29,33,60,75,79,99,109],"observing":[30],"ship.":[31],"In":[32],"preprocessing":[34],"step":[35],"sensor":[37],"fusion,":[38],"convolutional":[39],"neural":[40],"networks":[41],"are":[42,66,83,112],"used":[43],"perform":[45],"feature":[46],"extraction":[47],"from":[48,54],"images":[50],"semantic":[52],"segmentation":[53],"images.":[56],"The":[57,85,104],"correspondences":[58],"between":[59,98],"image":[64],"features":[65,82],"optimized":[67],"using":[68,114],"pair":[70],"of":[71,77,108],"geometric":[72],"parameters,":[73],"positions":[76],"all":[78],"matched":[80],"object":[81],"determined.":[84],"proposed":[86,110],"enables":[88],"even":[92],"without":[93],"accurate":[94],"calibration":[95],"alignment":[97],"measurements.":[103],"feasibility":[105],"performance":[107],"demonstrated":[113],"an":[115],"experimental":[116],"dataset":[117],"obtained":[118],"real":[121],"coastal":[122],"environment.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}