{"id":"https://openalex.org/W4308238103","doi":"https://doi.org/10.1109/icip46576.2022.9897311","title":"MONO6D: Monocular Vehicle 6D Pose Estimation with 3D Priors","display_name":"MONO6D: Monocular Vehicle 6D Pose Estimation with 3D Priors","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308238103","doi":"https://doi.org/10.1109/icip46576.2022.9897311"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897311","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5102878374","display_name":"Yangxintong Lyu","orcid":"https://orcid.org/0000-0002-2501-9010"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Yangxintong Lyu","raw_affiliation_strings":["Vrije Universiteit,Department of Electronics and Informatics,Brussel","Department of Electronics and Informatics, Vrije Universiteit, Brussel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit,Department of Electronics and Informatics,Brussel","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit, Brussel","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040709758","display_name":"Remco Royen","orcid":"https://orcid.org/0000-0001-9639-7775"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Remco Royen","raw_affiliation_strings":["Vrije Universiteit,Department of Electronics and Informatics,Brussel","Department of Electronics and Informatics, Vrije Universiteit, Brussel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit,Department of Electronics and Informatics,Brussel","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit, Brussel","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088598176","display_name":"Adrian Munteanu","orcid":"https://orcid.org/0000-0001-7290-0428"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Adrian Munteanu","raw_affiliation_strings":["Vrije Universiteit,Department of Electronics and Informatics,Brussel","Department of Electronics and Informatics, Vrije Universiteit, Brussel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit,Department of Electronics and Informatics,Brussel","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit, Brussel","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I13469542"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2187","last_page":"2191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10653","display_name":"Robot Manipulation and Learning","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9837999939918518,"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":0.979200005531311,"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/monocular","display_name":"Monocular","score":0.8180440664291382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7851065397262573},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7381556630134583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.721362292766571},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7135592699050903},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.619987964630127},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5905511379241943},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.49209994077682495},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4790878891944885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34924161434173584},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.16033446788787842}],"concepts":[{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.8180440664291382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7851065397262573},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7381556630134583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721362292766571},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7135592699050903},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.619987964630127},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5905511379241943},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.49209994077682495},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4790878891944885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34924161434173584},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.16033446788787842},{"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip46576.2022.9897311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897311","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:162068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ICIP46576.2022.9897311","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2194775991","https://openalex.org/W2560609797","https://openalex.org/W2605189827","https://openalex.org/W2799123546","https://openalex.org/W2950812781","https://openalex.org/W2956121407","https://openalex.org/W2962708411","https://openalex.org/W2963177347","https://openalex.org/W2963217716","https://openalex.org/W2963263347","https://openalex.org/W3005648068","https://openalex.org/W3009143969","https://openalex.org/W3094272964","https://openalex.org/W3108671865","https://openalex.org/W3176584633","https://openalex.org/W4212774754","https://openalex.org/W6726497184","https://openalex.org/W6763422710","https://openalex.org/W6764306722","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W3089306886","https://openalex.org/W2113785214","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4387967917","https://openalex.org/W4312694060","https://openalex.org/W4386075737","https://openalex.org/W4382141741","https://openalex.org/W4307623796"],"abstract_inverted_index":{"Predicting":[0],"the":[1,31,65,96,102],"6DoF":[2],"pose":[3,46],"of":[4,26],"vehicles":[5],"from":[6],"a":[7,40,75,83],"single":[8],"view":[9],"image":[10],"without":[11],"additional":[12],"constraints":[13],"remains":[14],"an":[15],"ill-posed":[16],"problem.":[17],"Current":[18],"monocular":[19,42],"approaches":[20,104],"require":[21],"expensive":[22],"and":[23,108],"time-consuming":[24],"annotations":[25],"vehicle-specific":[27],"feature":[28,33],"points":[29],"and/or":[30],"2D-3D":[32],"correspondences.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"novel":[41],"approach":[43],"for":[44],"vehicle":[45,54,59],"estimation":[47],"in":[48,105],"SE(3),":[49],"dubbed":[50],"Mono6D,":[51],"that":[52,95],"uses":[53],"3D":[55],"priors":[56],"provided":[57],"by":[58],"make-and-model":[60],"recognition":[61],"methods":[62],"to":[63,78,86,101],"estimate":[64],"6D":[66],"pose.":[67],"The":[68,91],"proposed":[69,97],"method":[70,98],"mainly":[71],"consists":[72],"of:":[73],"1)":[74],"two-separate-branch":[76],"module":[77],"learn":[79,87],"multi-modal":[80],"representations;":[81],"2)":[82],"fusion":[84],"schema":[85],"pose-specific":[88],"representative":[89],"embeddings.":[90],"experimental":[92],"results":[93],"show":[94],"is":[99],"superior":[100],"state-of-the-art":[103],"both":[106],"objective":[107],"subjective":[109],"terms.":[110]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}