{"id":"https://openalex.org/W4401415531","doi":"https://doi.org/10.1109/icra57147.2024.10610757","title":"VioLA: Aligning Videos to 2D LiDAR Scans","display_name":"VioLA: Aligning Videos to 2D LiDAR Scans","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401415531","doi":"https://doi.org/10.1109/icra57147.2024.10610757"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10610757","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icra57147.2024.10610757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-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/A5000572927","display_name":"Jun\u2013Jee Chao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jun-Jee Chao","raw_affiliation_strings":["Samsung AI Center,NY,USA"],"affiliations":[{"raw_affiliation_string":"Samsung AI Center,NY,USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071740221","display_name":"Selim Engin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Selim Engin","raw_affiliation_strings":["Samsung AI Center,NY,USA"],"affiliations":[{"raw_affiliation_string":"Samsung AI Center,NY,USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058244281","display_name":"Nikhil Chavan-Dafle","orcid":"https://orcid.org/0000-0002-9284-503X"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikhil Chavan-Dafle","raw_affiliation_strings":["Samsung AI Center,NY,USA"],"affiliations":[{"raw_affiliation_string":"Samsung AI Center,NY,USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090374847","display_name":"Bhoram Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhoram Lee","raw_affiliation_strings":["Samsung AI Center,NY,USA"],"affiliations":[{"raw_affiliation_string":"Samsung AI Center,NY,USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033839227","display_name":"Volkan Isler","orcid":"https://orcid.org/0000-0002-0868-5441"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Volkan Isler","raw_affiliation_strings":["Samsung AI Center,NY,USA"],"affiliations":[{"raw_affiliation_string":"Samsung AI Center,NY,USA","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000572927"],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06185831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"4021","last_page":"4028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/lidar","display_name":"Lidar","score":0.8623846769332886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6009947657585144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510066568851471},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4455205798149109},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.435535728931427},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.260390043258667}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8623846769332886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6009947657585144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510066568851471},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4455205798149109},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.435535728931427},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.260390043258667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra57147.2024.10610757","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icra57147.2024.10610757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1574059304","https://openalex.org/W1957167950","https://openalex.org/W2049981393","https://openalex.org/W2098764590","https://openalex.org/W2125420246","https://openalex.org/W2130422193","https://openalex.org/W2160821342","https://openalex.org/W2164799852","https://openalex.org/W2519911873","https://openalex.org/W2557465155","https://openalex.org/W2560662850","https://openalex.org/W2561303380","https://openalex.org/W2566265240","https://openalex.org/W2594519801","https://openalex.org/W2776330782","https://openalex.org/W2962729173","https://openalex.org/W2962941647","https://openalex.org/W2963121255","https://openalex.org/W2963264709","https://openalex.org/W2964014140","https://openalex.org/W2968040091","https://openalex.org/W2981685844","https://openalex.org/W2986382673","https://openalex.org/W3013243617","https://openalex.org/W3035030518","https://openalex.org/W3035338950","https://openalex.org/W3108059345","https://openalex.org/W3111598592","https://openalex.org/W3130129454","https://openalex.org/W3166855724","https://openalex.org/W3170994844","https://openalex.org/W3171102639","https://openalex.org/W3176578302","https://openalex.org/W3177280664","https://openalex.org/W3193551877","https://openalex.org/W3201832277","https://openalex.org/W3203473225","https://openalex.org/W3203898101","https://openalex.org/W3215584334","https://openalex.org/W4214895690","https://openalex.org/W4221145306","https://openalex.org/W4226373316","https://openalex.org/W4249866455","https://openalex.org/W4285169956","https://openalex.org/W4296913583","https://openalex.org/W4308486818","https://openalex.org/W4312815172","https://openalex.org/W4312910764","https://openalex.org/W4312933868","https://openalex.org/W4313036632","https://openalex.org/W4313054523","https://openalex.org/W4319241004","https://openalex.org/W4322716374","https://openalex.org/W4383066348","https://openalex.org/W4386057750","https://openalex.org/W4386065823","https://openalex.org/W4386066358","https://openalex.org/W4386075718","https://openalex.org/W4386075898","https://openalex.org/W4389371161","https://openalex.org/W4390874211","https://openalex.org/W6739778489","https://openalex.org/W6767019538","https://openalex.org/W6799446722","https://openalex.org/W6800540912","https://openalex.org/W6841082114","https://openalex.org/W6846334842"],"related_works":["https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367"],"abstract_inverted_index":{"We":[0,25,115],"study":[1],"the":[2,17,22,38,42,55,66,69,102,141],"problem":[3],"of":[4,13,21,37,65,87,129],"aligning":[5],"a":[6,10,27,34,49,88,95,107,126,130],"video":[7],"that":[8,30],"captures":[9],"local":[11,39],"portion":[12],"an":[14],"environment":[15],"to":[16,54,59,111,147],"2D":[18],"LiDAR":[19,56],"scan":[20],"entire":[23],"environment.":[24],"introduce":[26],"method":[28],"(VioLA)":[29],"starts":[31],"with":[32,94],"building":[33],"semantic":[35,71],"map":[36,72],"scene":[40,104,137],"from":[41],"image":[43],"sequence,":[44],"then":[45],"extracts":[46],"points":[47],"at":[48],"fixed":[50],"height":[51],"for":[52,78,99],"registering":[53],"map.":[57],"Due":[58],"reconstruction":[60],"errors":[61],"or":[62],"partial":[63],"coverage":[64],"camera":[67],"scan,":[68],"reconstructed":[70],"may":[73],"not":[74],"contain":[75],"sufficient":[76],"information":[77],"registration.":[79,114],"To":[80],"address":[81],"this":[82],"problem,":[83],"VioLA":[84,117],"makes":[85],"use":[86],"pre-trained":[89],"text-to-image":[90],"inpainting":[91],"model":[92,98],"paired":[93],"depth":[96],"completion":[97,138],"filling":[100],"in":[101,106],"missing":[103],"content":[105],"geometrically":[108],"consistent":[109],"fashion":[110],"support":[112],"pose":[113,142],"evaluate":[116],"on":[118],"two":[119],"real-world":[120],"RGB-D":[121],"benchmarks,":[122],"as":[123,125],"well":[124],"self-captured":[127],"dataset":[128],"large":[131],"office":[132],"scene.":[133],"Notably,":[134],"our":[135],"proposed":[136],"module":[139],"improves":[140],"registration":[143],"performance":[144],"by":[145],"up":[146],"20%.":[148]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
