{"id":"https://openalex.org/W2918690501","doi":"https://doi.org/10.1109/cspis.2018.8642728","title":"Deep Learning Approach To Update Road Network using VGI Data","display_name":"Deep Learning Approach To Update Road Network using VGI Data","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2918690501","doi":"https://doi.org/10.1109/cspis.2018.8642728","mag":"2918690501"},"language":"en","primary_location":{"id":"doi:10.1109/cspis.2018.8642728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cspis.2018.8642728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028573530","display_name":"Prajowal Manandhar","orcid":"https://orcid.org/0000-0002-1604-9138"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Prajowal Manandhar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070579744","display_name":"Prashanth Marpu","orcid":"https://orcid.org/0000-0003-3335-1790"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Prashanth Reddy Marpu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005863795","display_name":"Zeyar Aung","orcid":"https://orcid.org/0000-0001-5990-9305"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Zeyar Aung","raw_affiliation_strings":["Department of Computer Science, Khalifa University, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Khalifa University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I176601375"],"apc_list":null,"apc_paid":null,"fwci":0.5033,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65580501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9993000030517578,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9993000030517578,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/volunteered-geographic-information","display_name":"Volunteered geographic information","score":0.9448524713516235},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7648143768310547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7394685745239258},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6145049333572388},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.6058694124221802},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4629562497138977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4338657557964325},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3776776194572449},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.2922716736793518},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.22405794262886047},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1868983507156372},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11266708374023438}],"concepts":[{"id":"https://openalex.org/C57380593","wikidata":"https://www.wikidata.org/wiki/Q933625","display_name":"Volunteered geographic information","level":2,"score":0.9448524713516235},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7648143768310547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394685745239258},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6145049333572388},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.6058694124221802},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4629562497138977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4338657557964325},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3776776194572449},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2922716736793518},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.22405794262886047},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1868983507156372},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11266708374023438},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cspis.2018.8642728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cspis.2018.8642728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2181480346","https://openalex.org/W2341130385","https://openalex.org/W2397030975","https://openalex.org/W2416190443","https://openalex.org/W2488187315","https://openalex.org/W2623331213","https://openalex.org/W2626685773","https://openalex.org/W2737129951","https://openalex.org/W2764034829","https://openalex.org/W2773435590","https://openalex.org/W2782522152","https://openalex.org/W2884732374","https://openalex.org/W3100521496","https://openalex.org/W6711757165","https://openalex.org/W6722710385","https://openalex.org/W6753697372","https://openalex.org/W7020680850"],"related_works":["https://openalex.org/W2377402383","https://openalex.org/W2380835401","https://openalex.org/W2381912691","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0,41],"our":[1,61],"earlier":[2],"work,":[3],"we":[4,44],"worked":[5],"on":[6,91],"extraction":[7],"of":[8,12,29,57,60,94],"the":[9,18,37,51,58,71,92,99],"total":[10],"width":[11],"road":[13,39,52,101],"by":[14,21],"agents":[15],"traversing":[16],"in":[17],"direction":[19],"guided":[20],"Volunteered":[22],"Geographic":[23],"Information":[24],"(VGI).":[25],"The":[26],"only":[27],"downfall":[28],"VGI":[30],"approach":[31,48],"is":[32,80],"its":[33],"inability":[34],"to":[35,49,69,82],"update":[36,50],"new":[38],"developments.":[40],"this":[42],"paper,":[43],"introduce":[45],"deep":[46],"learning":[47],"network.":[53],"We":[54],"make":[55],"use":[56],"output":[59,93],"previous":[62],"work":[63],"which":[64],"forms":[65],"as":[66,87],"an":[67],"input":[68],"train":[70],"Convolutional":[72],"Neural":[73],"Network":[74],"(CNN).":[75],"Then,":[76],"further":[77],"post":[78],"processing":[79],"performed":[81],"remove":[83],"non-road":[84],"segments":[85],"(such":[86],"buildings,":[88],"vegetation,":[89],"etc)":[90],"CNN":[95],"and":[96],"finally,":[97],"obtain":[98],"updated":[100],"map.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}