{"id":"https://openalex.org/W6889707275","doi":"https://doi.org/10.26092/elib/130","title":"Underwater Visual Multi-Modal 3D Sensing","display_name":"Underwater Visual Multi-Modal 3D Sensing","publication_year":2020,"publication_date":"2020-04-23","ids":{"openalex":"https://openalex.org/W6889707275","doi":"https://doi.org/10.26092/elib/130"},"language":"en","primary_location":{"id":"pmh:oai:media.suub.uni-bremen.de:Publications/elib/4345","is_oa":true,"landing_page_url":"https://media.suub.uni-bremen.de/handle/elib/4345","pdf_url":null,"source":{"id":"https://openalex.org/S4306402486","display_name":"Media (https://www.suub.uni-bremen.de/)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I180437899","host_organization_name":"University of Bremen","host_organization_lineage":["https://openalex.org/I180437899"],"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":"Dissertation"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://media.suub.uni-bremen.de/handle/elib/4345","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Duda, Alexander","orcid":"https://orcid.org/0000-0003-2800-4188"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Duda, Alexander","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2800-4188","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39739854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.3955000042915344,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.3955000042915344,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.11129999905824661,"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/T11019","display_name":"Image Enhancement Techniques","score":0.07519999891519547,"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/underwater","display_name":"Underwater","score":0.8744999766349792},{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.44530001282691956},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4097999930381775},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3497999906539917},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.3490999937057495},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3407000005245209}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.8744999766349792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6718999743461609},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49709999561309814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4659000039100647},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.44530001282691956},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4097999930381775},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37959998846054077},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3407000005245209},{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3239000141620636},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:media.suub.uni-bremen.de:Publications/elib/4345","is_oa":true,"landing_page_url":"https://media.suub.uni-bremen.de/handle/elib/4345","pdf_url":null,"source":{"id":"https://openalex.org/S4306402486","display_name":"Media (https://www.suub.uni-bremen.de/)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I180437899","host_organization_name":"University of Bremen","host_organization_lineage":["https://openalex.org/I180437899"],"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":"Dissertation"},{"id":"doi:10.26092/elib/130","is_oa":true,"landing_page_url":"https://doi.org/10.26092/elib/130","pdf_url":null,"source":{"id":"https://openalex.org/S7407052977","display_name":"Staats- und Universit\u00e4tsbibliothek Bremen","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:media.suub.uni-bremen.de:Publications/elib/4345","is_oa":true,"landing_page_url":"https://media.suub.uni-bremen.de/handle/elib/4345","pdf_url":null,"source":{"id":"https://openalex.org/S4306402486","display_name":"Media (https://www.suub.uni-bremen.de/)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I180437899","host_organization_name":"University of Bremen","host_organization_lineage":["https://openalex.org/I180437899"],"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":"Dissertation"},"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.7823912501335144}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"the":[1,28,75,103,118,132,217,252,263],"underwater":[2,46,78,107,133,159,178,228],"domain,":[3],"optical":[4,108,126,151,176,222,242],"sensors":[5],"are":[6,153],"extremely":[7],"limited":[8],"with":[9,34,161],"respect":[10],"to":[11,18,57,112,131,156,284],"range,":[12],"resolution,":[13],"and":[14,37,61,80,88,135,182,206,275,279],"accuracy":[15,163,271],"in":[16,110,251],"comparison":[17,111],"most":[19,237],"terrestrial":[20,114],"remote":[21],"sensors.":[22],"The":[23,193,236],"reason":[24],"for":[25,69,149,184,200,212,272],"this":[26,121],"is":[27,98,180,231,245],"medium":[29],"water,":[30],"which":[31],"heavily":[32],"interacts":[33],"electromagnetic":[35],"signals":[36],"therefore":[38],"reduces":[39,262],"their":[40,113,137,171,281],"corresponding":[41],"signal-to-noise":[42],"ratio.":[43],"Also,":[44],"many":[45,81],"areas":[47],"can":[48],"only":[49],"be":[50],"visited":[51],"by":[52,102,117],"remotely":[53],"operated":[54],"vehicles":[55],"due":[56],"water":[58],"pressure,":[59],"turbidity,":[60],"or":[62],"strong":[63],"currents,":[64],"posing":[65],"a":[66,93,173,197,232,269],"high":[67,162],"risk":[68],"humans.":[70],"This":[71,261],"combination":[72],"considerably":[73],"increases":[74],"complexity":[76,264],"of":[77,95,106,203,240,265],"metrology,":[79],"applications":[82,97],"currently":[83],"require":[84],"highly":[85],"skilled":[86],"personnel":[87],"large":[89],"support":[90],"vessels.":[91],"Here,":[92,216],"simplification":[94],"these":[96,143],"presently":[99],"effectively":[100],"prevented":[101],"performance":[104],"gap":[105],"systems":[109,152,223],"counterparts.":[115],"Motivated":[116],"above":[119],"limitations,":[120],"research":[122],"work":[123],"evaluates":[124],"different":[125],"sensing":[127],"modalities":[128],"when":[129,227],"applied":[130],"domain":[134,255],"identifies":[136],"possible":[138,282],"sweet":[139],"spots.":[140],"Based":[141],"on":[142,166],"considerations,":[144],"several":[145,185],"novel":[146,174,198],"fusion":[147],"strategies":[148],"passive-active":[150,221],"presented":[154],"able":[155],"reconstruct":[157],"whole":[158],"scenes":[160],"without":[164],"relying":[165],"additional":[167],"navigation":[168],"systems.":[169],"For":[170],"evaluation,":[172],"self-referenced":[175,241],"3D":[177,243,257],"scanner":[179],"implemented":[181],"used":[183],"test":[186],"setups":[187],"as":[188,190,256],"well":[189],"real-world":[191],"scenarios.":[192],"implementation":[194],"also":[195],"includes":[196],"method":[199],"in-air":[201],"calibration":[202],"flat-port":[204],"cameras":[205],"integration":[207],"into":[208],"bundle":[209],"adjustment":[210],"frameworks":[211],"visual":[213],"pose":[214,274],"estimation.":[215],"evaluation":[218],"demonstrates":[219],"that":[220,246],"outperform":[224],"standard":[225],"methods":[226],"sensor":[229,249,254,266,273,286],"motion":[230,250],"critical":[233],"design":[234],"parameter.":[235],"significant":[238],"advantage":[239],"scanners":[244],"they":[247],"compensate":[248],"same":[253],"measurements":[258],"take":[259],"place.":[260],"co-calibration,":[267],"ensures":[268],"similar":[270],"scene":[276],"depth":[277],"estimation,":[278],"broadens":[280],"application":[283],"smaller":[285],"platforms.":[287]},"counts_by_year":[],"updated_date":"2025-12-13T23:11:00.310470","created_date":"2025-10-10T00:00:00"}
