{"id":"https://openalex.org/W4200210320","doi":"https://doi.org/10.23919/iccas52745.2021.9650056","title":"Shallow Depth SIFT Based Approach for Mapping underwater surfaces using AUV's","display_name":"Shallow Depth SIFT Based Approach for Mapping underwater surfaces using AUV's","publication_year":2021,"publication_date":"2021-10-12","ids":{"openalex":"https://openalex.org/W4200210320","doi":"https://doi.org/10.23919/iccas52745.2021.9650056"},"language":"en","primary_location":{"id":"doi:10.23919/iccas52745.2021.9650056","doi":"https://doi.org/10.23919/iccas52745.2021.9650056","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iccas52745.2021.9650056","pdf_url":null,"source":{"id":"https://openalex.org/S4363607826","display_name":"International Conference on Control, Automation and Systems (ICCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 21st International Conference on Control, Automation and Systems (ICCAS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5058149941","display_name":"Cheepurupalli Raghuram","orcid":"https://orcid.org/0000-0002-8144-4556","observed_orcids":["https://orcid.org/0000-0002-8144-4556"]},"institutions":[{"id":"https://openalex.org/I4210101034","display_name":"Birla Institute of Technology and Science - Hyderabad Campus","ror":"https://ror.org/014ctt859","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210101034","https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C S RAGHURAM","raw_affiliation_strings":["Electrical and Electronics Engineering, BITS Pilani Hyderabad Campus, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering, BITS Pilani Hyderabad Campus, Hyderabad, India","institution_ids":["https://openalex.org/I4210101034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077352983","display_name":"Sai Anoop Sadineni","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210101034","display_name":"Birla Institute of Technology and Science - Hyderabad Campus","ror":"https://ror.org/014ctt859","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210101034","https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sai Anoop Sadineni","raw_affiliation_strings":["Electronics and Instrumentation Engineering,BITS Pilani Hyderabad Campus, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Instrumentation Engineering,BITS Pilani Hyderabad Campus, Hyderabad, India","institution_ids":["https://openalex.org/I4210101034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210101034"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1180","last_page":"1184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.8823000192642212,"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":0.8823000192642212,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.05689999833703041,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.02370000071823597,"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/autonomous-underwater-vehicles","display_name":"autonomous underwater vehicles","score":0.8169999718666077},{"id":"https://openalex.org/keywords/sift-feature-matching","display_name":"SIFT feature matching","score":0.6729999780654907},{"id":"https://openalex.org/keywords/brute-force-matching","display_name":"brute-force matching","score":0.8410000205039978},{"id":"https://openalex.org/keywords/image-based-mapping","display_name":"image-based mapping","score":0.5009999871253967},{"id":"https://openalex.org/keywords/low-computational-cost","display_name":"low computational cost","score":0.5569999814033508}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7573745250701904},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7217546701431274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.654305636882782},{"id":"https://openalex.org/C33613203","wikidata":"https://www.wikidata.org/wiki/Q468469","display_name":"Seabed","level":2,"score":0.6537383198738098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294276714324951},{"id":"https://openalex.org/C186348155","wikidata":"https://www.wikidata.org/wiki/Q7975538","display_name":"Waves and shallow water","level":2,"score":0.5990037322044373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5934654474258423},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4687160551548004},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.46128788590431213},{"id":"https://openalex.org/C145424490","wikidata":"https://www.wikidata.org/wiki/Q618465","display_name":"Remotely operated underwater vehicle","level":4,"score":0.4132162928581238},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3954540193080902},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.3685581684112549},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.35157451033592224},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32529741525650024},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2144288420677185},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16860798001289368},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.14007747173309326},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/iccas52745.2021.9650056","doi":"https://doi.org/10.23919/iccas52745.2021.9650056","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iccas52745.2021.9650056","pdf_url":null,"source":{"id":"https://openalex.org/S4363607826","display_name":"International Conference on Control, Automation and Systems (ICCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 21st International Conference on Control, Automation and Systems (ICCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1525114816","https://openalex.org/W2103332430","https://openalex.org/W2151103935","https://openalex.org/W2480475164","https://openalex.org/W2789720515"],"related_works":["https://openalex.org/W2096006385","https://openalex.org/W2103332430","https://openalex.org/W4213012544","https://openalex.org/W1956526819","https://openalex.org/W2751513839","https://openalex.org/W4200334376","https://openalex.org/W2980762855","https://openalex.org/W2019938568","https://openalex.org/W7220981149","https://openalex.org/W1603948147"],"abstract_inverted_index":{"Autonomous":[0],"Underwater":[1],"Vehicles(AUVs)":[2],"have":[3],"always":[4],"been":[5],"used":[6,12],"in":[7,83],"oceanic":[8],"exploration.":[9],"They":[10],"were":[11,90],"for":[13,52,99],"topographic":[14],"mapping,":[15],"studying":[16],"the":[17,21,41,47,56,60,65,73,93,100,107,112,115],"various":[18],"elements":[19],"of":[20,40,102,109,114],"sea":[22],"from":[23,55],"flora":[24],"and":[25,30,58,87,96,129],"fauna":[26],"to":[27,36,63,106,122,133,136],"synthetic":[28],"objects":[29],"debris":[31],"alike.":[32],"This":[33,120],"paper":[34],"aims":[35],"produce":[37],"perceivable":[38],"maps":[39,70],"shallow":[42,118],"seabed":[43],"using":[44,46,59,80],"AUVs,":[45],"Scale-Invariant":[48],"Feature":[49],"Transform(SIFT)":[50],"algorithm":[51,77],"collecting":[53],"features":[54],"images":[57,66],"Brute-force":[61],"matcher":[62],"match":[64],"producing":[67],"2-dimensional":[68],"rectangular":[69],"by":[71],"applying":[72],"proposed":[74],"algorithm.":[75],"The":[76],"was":[78],"tested":[79],"handheld":[81],"webcams":[82],"a":[84,125],"simulated":[85],"environment":[86],"our":[88],"results":[89],"consistent":[91],"with":[92],"expected":[94],"output,":[95],"also":[97],"account":[98],"uncertainty":[101],"noise,":[103],"distortion":[104],"due":[105],"reflection":[108],"light":[110],"on":[111],"surface":[113],"water":[116],"at":[117],"depths.":[119],"approach":[121],"mapping":[123],"has":[124],"low":[126],"computational":[127],"cost":[128],"can":[130],"be":[131],"deployed":[132],"multiple":[134],"AUVs":[135],"map":[137],"larger":[138],"areas.":[139]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2021-12-31T00:00:00"}
