{"id":"https://openalex.org/W2998178720","doi":"https://doi.org/10.1109/dicta47822.2019.8945849","title":"Temporal 3D Fully Connected Network for Water-Hazard Detection","display_name":"Temporal 3D Fully Connected Network for Water-Hazard Detection","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2998178720","doi":"https://doi.org/10.1109/dicta47822.2019.8945849","mag":"2998178720"},"language":"en","primary_location":{"id":"doi:10.1109/dicta47822.2019.8945849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta47822.2019.8945849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Digital Image Computing: Techniques and Applications (DICTA)","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/A5100657513","display_name":"Juntao Li","orcid":"https://orcid.org/0000-0002-3288-4395"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Juntao Li","raw_affiliation_strings":["College of Engineering and Computer Science, Australian National University, Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046133873","display_name":"Chuong Nguyen","orcid":"https://orcid.org/0000-0002-3167-3422"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chuong Nguyen","raw_affiliation_strings":["Data61 - Cyber Physical Systems CSIRO, Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data61 - Cyber Physical Systems CSIRO, Canberra, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003277535","display_name":"Shaodi You","orcid":"https://orcid.org/0000-0001-8973-645X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shaodi You","raw_affiliation_strings":["Data61 - Cyber Physical Systems CSIRO, Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data61 - Cyber Physical Systems CSIRO, Canberra, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1984,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55626952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"157","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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":0.9948999881744385,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computation","display_name":"Computation","score":0.7212250232696533},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7189176678657532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7068163156509399},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.5792570114135742},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4655737578868866},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4649687111377716},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.43813127279281616},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.42622503638267517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3024393916130066},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20268723368644714},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11247226595878601},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09598499536514282}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7212250232696533},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7189176678657532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7068163156509399},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.5792570114135742},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4655737578868866},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4649687111377716},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.43813127279281616},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.42622503638267517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3024393916130066},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20268723368644714},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11247226595878601},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09598499536514282},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta47822.2019.8945849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta47822.2019.8945849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/cd2fb8f5-848f-44d0-b297-db1800a45c35","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/temporal-3d-fully-connected-network-for-waterhazard-detection(cd2fb8f5-848f-44d0-b297-db1800a45c35).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Li, J, Nguyen, C & You, S 2019, Temporal 3D Fully Connected Network for Water-Hazard Detection. in 2019 Digital Image Computing: Techniques and Applications (DICTA) : Perth, Australia, 2 December-4 December 2019. Piscataway, NJ, pp. 575-579, 2019 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2019, Perth, Australia, 2/12/19. https://doi.org/10.1109/DICTA47822.2019.8945849","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W57750691","https://openalex.org/W1522734439","https://openalex.org/W1903029394","https://openalex.org/W2112938974","https://openalex.org/W2119686286","https://openalex.org/W2130397466","https://openalex.org/W2298369357","https://openalex.org/W2412782625","https://openalex.org/W2464708700","https://openalex.org/W2558294288","https://openalex.org/W2567599812","https://openalex.org/W2576516503","https://openalex.org/W2590069064","https://openalex.org/W2763794872","https://openalex.org/W2894788964","https://openalex.org/W2914806156","https://openalex.org/W2921062643","https://openalex.org/W2921144424","https://openalex.org/W2963351448","https://openalex.org/W2963881378","https://openalex.org/W6733876832"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Water":[0],"on":[1],"road":[2,8,22],"is":[3,14],"a":[4,101,143,154],"potential":[5],"hazard":[6],"for":[7,16,94,110],"vehicles.":[9],"In":[10],"complex":[11],"traffic,":[12],"it":[13,76],"difficult":[15],"drivers":[17],"to":[18,53,62,78,81,87,117,121,149],"safely":[19],"share":[20],"the":[21,48,137],"with":[23,142],"other":[24],"vehicles":[25],"and":[26,32,43,66,91],"pedestrians":[27],"while":[28,124],"avoiding":[29],"water":[30,64,111],"puddles":[31,65],"pot":[33],"holes.":[34],"Running":[35],"into":[36],"these":[37],"could":[38],"potentially":[39],"damage":[40],"electronic":[41],"components":[42],"corrode":[44],"metal":[45],"parts":[46],"of":[47,55],"car,":[49],"or":[50,72,97],"even":[51],"lead":[52],"loss":[54],"control.":[56],"Similarly,":[57],"driver-less":[58],"cars":[59],"also":[60,130],"need":[61],"detect":[63],"plan":[67],"safe":[68,80],"path":[69],"around":[70],"them":[71],"slow":[73],"down":[74],"if":[75],"deems":[77],"be":[79,88],"do":[82],"so.":[83],"Such":[84],"detection":[85,112,138,152],"needs":[86],"both":[89],"accurate":[90],"fast":[92],"enough":[93],"realtime":[95],"assistance":[96],"planning.":[98],"We":[99,129],"present":[100],"new":[102],"temporal":[103,115,135],"3D":[104],"fully":[105],"convolutional":[106],"network":[107,156],"called":[108],"T3D-FCN":[109],"that":[113,132],"exploit":[114],"information":[116,136],"achieve":[118],"accuracy":[119,123],"comparable":[120],"the-state-of-the-art":[122],"requires":[125],"less":[126],"computation":[127,146],"resources.":[128],"show":[131],"by":[133],"adding":[134],"performance":[139],"significantly":[140],"improves":[141],"small":[144],"additional":[145],"as":[147],"compared":[148],"single":[150],"image":[151],"using":[153],"similar":[155],"architecture.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}