{"id":"https://openalex.org/W4390045121","doi":"https://doi.org/10.1109/sdf-mfi59545.2023.10360502","title":"Optical Flow Revisited: how good is dense deep learning based optical flow?","display_name":"Optical Flow Revisited: how good is dense deep learning based optical flow?","publication_year":2023,"publication_date":"2023-11-27","ids":{"openalex":"https://openalex.org/W4390045121","doi":"https://doi.org/10.1109/sdf-mfi59545.2023.10360502"},"language":"en","primary_location":{"id":"doi:10.1109/sdf-mfi59545.2023.10360502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sdf-mfi59545.2023.10360502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://liu.diva-portal.org/smash/get/diva2:1830090/FULLTEXT01","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054948360","display_name":"Jeong Min Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jeong Min Kang","raw_affiliation_strings":["Link&#x00F6;ping University,Dept. of Electrical Engineering,Link&#x00F6;ping,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Link&#x00F6;ping University,Dept. of Electrical Engineering,Link&#x00F6;ping,Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053845909","display_name":"Zoran Sjanic","orcid":"https://orcid.org/0000-0001-8837-7344"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Zoran Sjanic","raw_affiliation_strings":["Link&#x00F6;ping University,Dept. of Electrical Engineering,Link&#x00F6;ping,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Link&#x00F6;ping University,Dept. of Electrical Engineering,Link&#x00F6;ping,Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001137240","display_name":"Gustaf Hendeby","orcid":"https://orcid.org/0000-0002-1971-4295"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Gustaf Hendeby","raw_affiliation_strings":["Link&#x00F6;ping University,Dept. of Electrical Engineering,Link&#x00F6;ping,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Link&#x00F6;ping University,Dept. of Electrical Engineering,Link&#x00F6;ping,Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2246,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53810473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9962000250816345,"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/optical-flow","display_name":"Optical flow","score":0.8699243068695068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7119271755218506},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6303856372833252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6025022268295288},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5975732207298279},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5530855059623718},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.5472374558448792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5406361222267151},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43849003314971924},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30638355016708374},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17714178562164307},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14396938681602478},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13904380798339844},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.11013859510421753}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.8699243068695068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7119271755218506},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6303856372833252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6025022268295288},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5975732207298279},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5530855059623718},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.5472374558448792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5406361222267151},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43849003314971924},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30638355016708374},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17714178562164307},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14396938681602478},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13904380798339844},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.11013859510421753},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sdf-mfi59545.2023.10360502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sdf-mfi59545.2023.10360502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:liu-200331","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-200331","pdf_url":"https://liu.diva-portal.org/smash/get/diva2:1830090/FULLTEXT01","source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:liu-200331","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-200331","pdf_url":"https://liu.diva-portal.org/smash/get/diva2:1830090/FULLTEXT01","source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390045121.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1513100184","https://openalex.org/W2115579991","https://openalex.org/W2117228865","https://openalex.org/W2146881125","https://openalex.org/W2147253850","https://openalex.org/W2151103935","https://openalex.org/W2259424905","https://openalex.org/W2396274919","https://openalex.org/W2538522345","https://openalex.org/W2560474170","https://openalex.org/W2963782415","https://openalex.org/W2964156315","https://openalex.org/W3007471652","https://openalex.org/W3109908659","https://openalex.org/W3147597595","https://openalex.org/W4243425824","https://openalex.org/W6677548441","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W4386936491","https://openalex.org/W3007931018","https://openalex.org/W3110195467","https://openalex.org/W3033823235","https://openalex.org/W2881093137","https://openalex.org/W4391128647","https://openalex.org/W4384916587","https://openalex.org/W2163330330","https://openalex.org/W1982137911","https://openalex.org/W2163164795"],"abstract_inverted_index":{"Accurate":[0],"localization":[1,17],"is":[2,10,19,25,45,62],"a":[3,69],"part":[4],"of":[5,54,75,101,124],"most":[6],"autonomous":[7],"systems.":[8],"GNSS":[9],"today":[11],"the":[12,73,102,112,122],"go":[13],"to":[14,22,47,71,91,130],"solution":[15],"for":[16],"but":[18],"unreliable":[20],"due":[21],"jamming":[23],"and":[24,88,107],"not":[26],"available":[27],"indoors.":[28],"Inertial":[29],"navigation":[30],"aided":[31],"by":[32],"visual":[33],"measurements,":[34],"e.g.,":[35],"optical":[36,43,60,77,86,96],"flow,":[37],"offers":[38],"an":[39,63],"alternative.":[40,65],"Traditional":[41],"feature-based":[42,85],"flow":[44,61,78,87,97],"limited":[46],"scenes":[48],"with":[49],"good":[50],"features,":[51],"current":[52],"development":[53],"deep":[55],"neural":[56],"network":[57],"derived":[58],"dense":[59,76,95,103],"interesting":[64],"This":[66],"paper":[67],"proposes":[68],"method":[70],"evaluate":[72],"result":[74],"on":[79],"real":[80],"image":[81],"sequences":[82],"using":[83],"traditional":[84],"uses":[89],"this":[90],"compare":[92],"six":[93],"different":[94],"methods.":[98],"The":[99,117],"results":[100,118],"methods":[104,113],"are":[105,119],"promising,":[106],"no":[108],"clear":[109],"winner":[110],"amongst":[111],"can":[114,127],"be":[115,128],"determined.":[116],"discussed":[120],"in":[121],"context":[123],"how":[125],"they":[126],"used":[129],"support":[131],"localization.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
