{"id":"https://openalex.org/W4312596674","doi":"https://doi.org/10.1109/tits.2022.3219474","title":"CAMRL: A Joint Method of Channel Attention and Multidimensional Regression Loss for 3D Object Detection in Automated Vehicles","display_name":"CAMRL: A Joint Method of Channel Attention and Multidimensional Regression Loss for 3D Object Detection in Automated Vehicles","publication_year":2022,"publication_date":"2022-11-10","ids":{"openalex":"https://openalex.org/W4312596674","doi":"https://doi.org/10.1109/tits.2022.3219474"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3219474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3219474","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","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/A5087225784","display_name":"Honghao Gao","orcid":"https://orcid.org/0000-0001-6861-9684"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]},{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN","KR"],"is_corresponding":true,"raw_author_name":"Honghao Gao","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China","College of Future Industry, Gachon University, Seongnam, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]},{"raw_affiliation_string":"College of Future Industry, Gachon University, Seongnam, South Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066647100","display_name":"Danqing Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danqing Fang","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050556973","display_name":"Junsheng Xiao","orcid":"https://orcid.org/0000-0002-7781-856X"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junsheng Xiao","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065669269","display_name":"Walayat Hussain","orcid":"https://orcid.org/0000-0003-0610-4006"},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Walayat Hussain","raw_affiliation_strings":["Victoria University Business School, Victoria University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Victoria University Business School, Victoria University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I71270174"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078674769","display_name":"Jungyoon Kim","orcid":"https://orcid.org/0000-0002-2396-9514"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jung Yoon Kim","raw_affiliation_strings":["College of Future Industry, Gachon University, Seongnam, South Korea"],"affiliations":[{"raw_affiliation_string":"College of Future Industry, Gachon University, Seongnam, South Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087225784"],"corresponding_institution_ids":["https://openalex.org/I12832649","https://openalex.org/I141962983"],"apc_list":null,"apc_paid":null,"fwci":5.9093,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.97349221,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"24","issue":"8","first_page":"8831","last_page":"8845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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":0.9986000061035156,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7424530982971191},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7394986748695374},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6727219223976135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6548811197280884},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6536270976066589},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6515495181083679},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47709235548973083},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4409123659133911},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3379296660423279},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10016694664955139}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7424530982971191},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7394986748695374},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6727219223976135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6548811197280884},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6536270976066589},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6515495181083679},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47709235548973083},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4409123659133911},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3379296660423279},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10016694664955139},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2022.3219474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3219474","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:eprints.vu.edu.au:46184","is_oa":false,"landing_page_url":"https://vuir.vu.edu.au/46184/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1803059841","https://openalex.org/W2115579991","https://openalex.org/W2126452053","https://openalex.org/W2150066425","https://openalex.org/W2165065922","https://openalex.org/W2194775991","https://openalex.org/W2468368736","https://openalex.org/W2504335775","https://openalex.org/W2520707372","https://openalex.org/W2560544142","https://openalex.org/W2601564443","https://openalex.org/W2605189827","https://openalex.org/W2752782242","https://openalex.org/W2798462325","https://openalex.org/W2805396166","https://openalex.org/W2884585870","https://openalex.org/W2886335102","https://openalex.org/W2889874857","https://openalex.org/W2911486422","https://openalex.org/W2954174912","https://openalex.org/W2962766617","https://openalex.org/W2962845546","https://openalex.org/W2963037989","https://openalex.org/W2963323244","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963488291","https://openalex.org/W2963794551","https://openalex.org/W2963809933","https://openalex.org/W2963927307","https://openalex.org/W2964010755","https://openalex.org/W2964121718","https://openalex.org/W2969050719","https://openalex.org/W2971011093","https://openalex.org/W2971197296","https://openalex.org/W2972211064","https://openalex.org/W2990916692","https://openalex.org/W2997747012","https://openalex.org/W2998564420","https://openalex.org/W2999947750","https://openalex.org/W3011371059","https://openalex.org/W3034479628","https://openalex.org/W3035180028","https://openalex.org/W3035254347","https://openalex.org/W3048943743","https://openalex.org/W3087402140","https://openalex.org/W3109240920","https://openalex.org/W3109988092","https://openalex.org/W3130569205","https://openalex.org/W3176287975","https://openalex.org/W6725739302","https://openalex.org/W6760424586","https://openalex.org/W6797993295"],"related_works":["https://openalex.org/W2046435967","https://openalex.org/W4231775656","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W3134658850","https://openalex.org/W2355938171","https://openalex.org/W2780079842","https://openalex.org/W4292830139"],"abstract_inverted_index":{"Fully":[0],"automated":[1,93],"vehicles":[2,94],"collect":[3],"information":[4],"about":[5],"their":[6,11,209],"road":[7,135],"environments":[8],"to":[9,41,99,114,127,149,177,186,222],"adjust":[10],"driving":[12],"actions,":[13],"such":[14],"as":[15],"braking":[16],"and":[17,26,46,73,83,118,154,168,193,208,220,242,256],"slowing":[18],"down.":[19],"The":[20],"development":[21],"of":[22,29,37,52,104,120,165,172,252],"artificial":[23],"intelligence":[24,51],"(AI)":[25],"the":[27,34,50,101,111,116,130,134,152,158,162,166,169,173,179,188,194,197,215,233],"Internet":[28],"Things":[30],"(IoT)":[31],"has":[32],"improved":[33],"cognitive":[35],"abilities":[36],"vehicles,":[38],"allowing":[39,184],"them":[40],"detect":[42],"traffic":[43],"signs,":[44],"pedestrians,":[45],"obstacles":[47],"for":[48,69,88],"increasing":[49],"these":[53],"transportation":[54],"systems.":[55],"Three-dimensional":[56],"(3D)":[57],"object":[58,71,90,106,180,192,226,254],"detection":[59,72,91,107,255],"in":[60,92,250],"front-view":[61],"images":[62,136],"taken":[63],"by":[64,108,138],"vehicle":[65,139,216],"cameras":[66],"is":[67,97,125,147,200,227,240],"important":[68],"both":[70],"depth":[74,170,181,210],"estimation.":[75],"In":[76],"this":[77],"paper,":[78],"a":[79,142,203],"joint":[80],"channel":[81,123],"attention":[82,124],"multidimensional":[84,143],"regression":[85,144],"loss":[86,145],"method":[87,239],"3D":[89,105,253],"(called":[95],"CAMRL)":[96],"proposed":[98],"improve":[100],"average":[102],"precision":[103],"focusing":[109],"on":[110,232],"model\u2019s":[112],"ability":[113],"infer":[115],"locations":[117],"sizes":[119],"objects.":[121],"First,":[122],"introduced":[126],"effectively":[128],"learn":[129],"yaw":[131],"angles":[132],"from":[133],"captured":[137],"cameras.":[140],"Second,":[141],"algorithm":[146],"designed":[148],"further":[150],"optimize":[151],"size":[153,199],"position":[155],"parameters":[156,164],"during":[157],"training":[159],"process.":[160],"Third,":[161],"intrinsic":[163],"camera":[167,195],"estimate":[171],"model":[174],"are":[175,206,212],"combined":[176],"reduce":[178],"computation":[182],"error,":[183],"us":[185],"calculate":[187],"distance":[189],"between":[190],"an":[191,225],"after":[196],"object\u2019s":[198],"confirmed.":[201],"As":[202],"result,":[204],"objects":[205],"detected,":[207],"estimations":[211],"validated.":[213],"Then,":[214],"can":[217],"determine":[218],"when":[219],"how":[221],"stop":[223],"if":[224],"nearby.":[228],"Finally,":[229],"experiments":[230],"conducted":[231],"KITTI":[234],"dataset":[235],"demonstrate":[236],"that":[237],"our":[238],"effective":[241],"performs":[243],"better":[244],"than":[245],"other":[246],"baseline":[247],"methods,":[248],"especially":[249],"terms":[251],"bird\u2019s-eye":[257],"view":[258],"(BEV)":[259],"evaluation.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":21}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
