{"id":"https://openalex.org/W4315472139","doi":"https://doi.org/10.1109/icarcv57592.2022.10004312","title":"3D Object Localization With 2D Object Detector and 2D Localization","display_name":"3D Object Localization With 2D Object Detector and 2D Localization","publication_year":2022,"publication_date":"2022-12-11","ids":{"openalex":"https://openalex.org/W4315472139","doi":"https://doi.org/10.1109/icarcv57592.2022.10004312"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv57592.2022.10004312","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icarcv57592.2022.10004312","pdf_url":null,"source":{"id":"https://openalex.org/S4363608251","display_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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/A5090443600","display_name":"Rafa\u0142 Staszak","orcid":"https://orcid.org/0000-0002-5235-4201"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Rafal Staszak","raw_affiliation_strings":["Institute of Robotics and Machine Intelligence, Poznan University of Technology,Poznań,Poland,60-965"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Machine Intelligence, Poznan University of Technology,Poznań,Poland,60-965","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065531863","display_name":"Dominik Belter","orcid":"https://orcid.org/0000-0003-3002-9747"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Dominik Belter","raw_affiliation_strings":["Institute of Robotics and Machine Intelligence, Poznan University of Technology,Poznań,Poland,60-965"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Machine Intelligence, Poznan University of Technology,Poznań,Poland,60-965","institution_ids":["https://openalex.org/I46597724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"96","issue":null,"first_page":"715","last_page":"720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9994000196456909,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9984999895095825,"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/computer-vision","display_name":"Computer vision","score":0.8299945592880249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.824528694152832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7011046409606934},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6441205739974976},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6251954436302185},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5594499111175537},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5444061756134033},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5389744639396667},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5138412117958069},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.512113094329834},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4504181742668152},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.44592466950416565},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.43777304887771606},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4339868724346161},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41330185532569885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26860517263412476},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18757715821266174}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8299945592880249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.824528694152832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7011046409606934},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6441205739974976},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6251954436302185},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5594499111175537},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5444061756134033},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5389744639396667},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5138412117958069},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.512113094329834},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4504181742668152},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.44592466950416565},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.43777304887771606},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4339868724346161},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41330185532569885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26860517263412476},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18757715821266174},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv57592.2022.10004312","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icarcv57592.2022.10004312","pdf_url":null,"source":{"id":"https://openalex.org/S4363608251","display_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7115457084","display_name":null,"funder_award_id":"UMO-2019/35/D/ST6/03959","funder_id":"https://openalex.org/F4320322650","funder_display_name":"Narodowym Centrum Nauki"}],"funders":[{"id":"https://openalex.org/F4320322650","display_name":"Narodowym Centrum Nauki","ror":"https://ror.org/03ha2q922"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W132147841","https://openalex.org/W2019218765","https://openalex.org/W2111352009","https://openalex.org/W2139158290","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2196978909","https://openalex.org/W2329933562","https://openalex.org/W2491360013","https://openalex.org/W2519822546","https://openalex.org/W2781064046","https://openalex.org/W2963177347","https://openalex.org/W2963188159","https://openalex.org/W2964249569","https://openalex.org/W2968147691","https://openalex.org/W2997790735","https://openalex.org/W3102010291","https://openalex.org/W3106250896","https://openalex.org/W3199435753","https://openalex.org/W4319068731","https://openalex.org/W6773254754","https://openalex.org/W6785499125"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W4320086129","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582"],"abstract_inverted_index":{"In":[0,48],"this":[1],"research,":[2],"we":[3,65,142],"deal":[4],"with":[5,39],"the":[6,25,98,103,108,126,150],"problem":[7,134],"of":[8,78,95,117],"estimating":[9,71],"3D":[10,72,127],"object":[11,20,31,73,104,122,128],"positions":[12,74],"based":[13,55,145],"on":[14,24,57,146,149],"2D":[15,19,45,81,88],"localization":[16,89,100],"data":[17,101,147],"and":[18,43,80,102,135],"bounding":[21],"boxes":[22],"determined":[23],"RGB":[26],"images":[27,79],"by":[28],"a":[29,35,44,76,93,115],"CNN":[30],"detector.":[32],"We":[33,91,124],"use":[34],"mobile-manipulating":[36],"robot":[37,82,99,152],"equipped":[38],"an":[40,67,86,120,132,154],"RGB-D":[41],"camera":[42],"laser":[46],"scanner.":[47],"contrast":[49],"to":[50,114],"other":[51],"methods,":[52],"which":[53,106],"are":[54],"either":[56],"end-to-end":[58],"neural":[59],"networks":[60],"or":[61],"machine":[62],"learning":[63],"solutions,":[64],"propose":[66],"approach":[68],"that":[69],"allows":[70],"from":[75,85,97],"sequence":[77],"poses":[83],"obtained":[84],"onboard":[87],"system.":[90],"determine":[92],"set":[94,116],"lines":[96,118],"detections,":[105],"define":[107,125],"observation":[109],"directions.":[110],"The":[111],"closest":[112],"point":[113],"determines":[119],"approximate":[121],"location.":[123],"position":[129],"estimation":[130],"as":[131],"optimization":[133],"solve":[136],"using":[137],"efficient":[138],"GPU":[139],"implementation.":[140],"Finally,":[141],"present":[143],"results":[144],"collected":[148],"real":[151],"in":[153],"unstructured":[155],"environment.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}