{"id":"https://openalex.org/W4385453546","doi":"https://doi.org/10.1109/access.2023.3300708","title":"Monocular 3D Object Detection With Motion Feature Distillation","display_name":"Monocular 3D Object Detection With Motion Feature Distillation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385453546","doi":"https://doi.org/10.1109/access.2023.3300708"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3300708","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3300708","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198403.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198403.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087990889","display_name":"Henan Hu","orcid":"https://orcid.org/0000-0002-2681-880X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Henan Hu","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2681-880X","affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081449019","display_name":"Muyu Li","orcid":"https://orcid.org/0000-0001-7708-4474"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muyu Li","raw_affiliation_strings":["Centre for Intelligent Multidimensional Data Analysis Ltd., Hong Kong, China","Centre for Intelligent Multidimensional Data Analysis Limited, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7708-4474","affiliations":[{"raw_affiliation_string":"Centre for Intelligent Multidimensional Data Analysis Ltd., Hong Kong, China","institution_ids":[]},{"raw_affiliation_string":"Centre for Intelligent Multidimensional Data Analysis Limited, Hong Kong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027268630","display_name":"Ming Zhu","orcid":"https://orcid.org/0000-0001-5007-3919"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhu","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100836577","display_name":"Wen Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133343","display_name":"BYD (China)","ror":"https://ror.org/03kkp9n92","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133343"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["BYD Auto Industry Company Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BYD Auto Industry Company Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I4210133343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030623186","display_name":"Peiyu Liu","orcid":"https://orcid.org/0000-0003-4162-7486"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiyu Liu","raw_affiliation_strings":["Shenyang Aircraft Design & Research Institute, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4162-7486","affiliations":[{"raw_affiliation_string":"Shenyang Aircraft Design & Research Institute, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008306679","display_name":"K.L. Chan","orcid":"https://orcid.org/0000-0001-8290-211X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwok-Leung Chan","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-8290-211X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087990889"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210088164","https://openalex.org/I4210165038"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4613,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63903952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"82933","last_page":"82945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9990000128746033,"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":0.9987999796867371,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7566486597061157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7349228858947754},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6842551827430725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6580336689949036},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.651370644569397},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5409349799156189},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5095277428627014},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4911756217479706},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.44231724739074707},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43787914514541626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37417837977409363}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7566486597061157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7349228858947754},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6842551827430725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580336689949036},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.651370644569397},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5409349799156189},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5095277428627014},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4911756217479706},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.44231724739074707},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43787914514541626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37417837977409363},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2023.3300708","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3300708","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198403.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/07ade758-bc78-406d-a564-5d9fd084d52b","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/07ade758-bc78-406d-a564-5d9fd084d52b","pdf_url":"https://scholars.cityu.edu.hk/files/165976251/163523734.pdf","source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"HU, H, LI, M, ZHU, M, GAO, W, LIU, P & CHAN, K-L 2023, 'Monocular 3D Object Detection with Motion Feature Distillation', IEEE Access, vol. 11, pp. 82933-82945. https://doi.org/10.1109/ACCESS.2023.3300708","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:0caa157fa36343519964ea2e82d250b1","is_oa":true,"landing_page_url":"https://doaj.org/article/0caa157fa36343519964ea2e82d250b1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 82933-82945 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3300708","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3300708","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198403.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G2114326318","display_name":null,"funder_award_id":"20220201146GX","funder_id":"https://openalex.org/F4320335953","funder_display_name":"Jilin Scientific and Technological Development Program"},{"id":"https://openalex.org/G5048328594","display_name":null,"funder_award_id":"7005855","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321920","display_name":"Innovation and Technology Commission","ror":"https://ror.org/04vf9tr09"},{"id":"https://openalex.org/F4320335953","display_name":"Jilin Scientific and Technological Development Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385453546.pdf","grobid_xml":"https://content.openalex.org/works/W4385453546.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2222512263","https://openalex.org/W2952787292","https://openalex.org/W2962793285","https://openalex.org/W3035574168","https://openalex.org/W3108124733","https://openalex.org/W3109395584","https://openalex.org/W3157157071","https://openalex.org/W3177390622","https://openalex.org/W3204217726","https://openalex.org/W3207615232","https://openalex.org/W3215100485","https://openalex.org/W4221155238","https://openalex.org/W4224947594","https://openalex.org/W4226017864","https://openalex.org/W4226305814","https://openalex.org/W4281672996","https://openalex.org/W4281851959","https://openalex.org/W4292061909","https://openalex.org/W4297899592","https://openalex.org/W4301374177","https://openalex.org/W4303443326","https://openalex.org/W4312596674","https://openalex.org/W4312660290","https://openalex.org/W4312894406","https://openalex.org/W4318474445","https://openalex.org/W4382464460","https://openalex.org/W4382466543","https://openalex.org/W4390872833","https://openalex.org/W6638523607","https://openalex.org/W6802311648","https://openalex.org/W6810001583","https://openalex.org/W6810161144","https://openalex.org/W6811230113","https://openalex.org/W6838873368","https://openalex.org/W6838957033","https://openalex.org/W6839131283","https://openalex.org/W6839355098","https://openalex.org/W6839364997","https://openalex.org/W6843796254","https://openalex.org/W6845491643","https://openalex.org/W6848127970"],"related_works":["https://openalex.org/W3213997683","https://openalex.org/W2995270189","https://openalex.org/W2084124712","https://openalex.org/W2435467664","https://openalex.org/W2091635186","https://openalex.org/W4381188157","https://openalex.org/W4251947321","https://openalex.org/W2011626633","https://openalex.org/W2037866696","https://openalex.org/W2027891072"],"abstract_inverted_index":{"In":[0],"the":[1,22,29,33,52,56,61,69,75,96,142,150,197,221],"context":[2],"of":[3,12,24,55,63,91,153,179,199],"autonomous":[4],"driving,":[5],"environmental":[6],"perception":[7,46],"within":[8],"a":[9,100,160],"360-degree":[10],"field":[11],"view":[13],"is":[14,48,166],"extremely":[15],"important.":[16],"This":[17],"can":[18],"be":[19],"achieved":[20],"via":[21],"detection":[23,104,203],"three-dimensional":[25],"(3D)":[26],"objects":[27,170],"in":[28,171,219],"surrounding":[30],"scene":[31],"with":[32,122,162,185],"inputs":[34],"acquired":[35],"by":[36,225],"sensors":[37],"such":[38,88],"as":[39,51,89,204],"LiDAR":[40],"or":[41],"RGB":[42,58,70],"camera.":[43],"The":[44,127],"3D":[45,102,172,201],"generated":[47,77],"commonly":[49],"represented":[50],"bird\u2019s-eye-view":[53],"(BEV)":[54],"sensor.":[57],"camera":[59],"has":[60],"advantages":[62],"low-cost":[64],"and":[65,112,130,135,146,183,189,229],"long-range":[66],"acquisition.":[67],"As":[68],"images":[71,80],"are":[72,120,133],"two-dimensional":[73],"(2D),":[74],"BEV":[76,151,176],"from":[78,82,206],"2D":[79],"suffers":[81],"low":[83],"accuracy":[84,198],"due":[85],"to":[86,168],"limitations":[87],"lack":[90],"temporal":[92,118,157],"correlation.":[93],"To":[94],"address":[95],"problems,":[97],"we":[98],"propose":[99],"monocular":[101,200],"object":[103,202],"method":[105,194,215],"based":[106,140],"on":[107,141,210,227,231],"long":[108,155],"short-term":[109,117,156],"feature":[110,114,124,164,177],"fusion":[111],"motion":[113,128,163,187],"distillation.":[115],"Long":[116],"features":[119,129,188],"extracted":[121],"different":[123,180],"map":[125],"resolutions.":[126],"depth":[131,190],"information":[132],"combined":[134],"encoded":[136],"using":[137],"an":[138],"encoder":[139],"Transformer":[143],"cross-correlation":[144],"module,":[145],"further":[147],"integrated":[148],"into":[149],"space":[152],"fused":[154],"features.":[158],"Subsequently,":[159],"decoder":[161],"distillation":[165],"used":[167],"localize":[169],"space.":[173],"By":[174],"combining":[175],"representations":[178],"time":[181],"steps,":[182],"supplemented":[184],"embedded":[186],"information,":[191],"our":[192],"proposed":[193,214],"significantly":[195],"improves":[196],"demonstrated":[205],"experimental":[207],"results":[208],"obtained":[209],"nuScenes":[211],"dataset.":[212],"Our":[213],"outperforms":[216],"state-of-the-art":[217],"methods,":[218],"particular":[220],"previous":[222],"best":[223],"art":[224],"6.7%":[226],"mAP,":[228],"8.3%":[230],"mATE.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}