{"id":"https://openalex.org/W4306147919","doi":"https://doi.org/10.1109/mfi55806.2022.9913859","title":"Automated Road Asset Data Collection and Classification using Consumer Dashcams","display_name":"Automated Road Asset Data Collection and Classification using Consumer Dashcams","publication_year":2022,"publication_date":"2022-09-20","ids":{"openalex":"https://openalex.org/W4306147919","doi":"https://doi.org/10.1109/mfi55806.2022.9913859"},"language":"en","primary_location":{"id":"doi:10.1109/mfi55806.2022.9913859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi55806.2022.9913859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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/A5046011498","display_name":"Michael Sieverts","orcid":"https://orcid.org/0000-0002-8115-0208"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Sieverts","raw_affiliation_strings":["University of Utah,Salt Lake City,UT","University of Utah, Salt Lake City, UT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah,Salt Lake City,UT","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"University of Utah, Salt Lake City, UT","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085045693","display_name":"Yoshihiro Obata","orcid":"https://orcid.org/0000-0003-0365-9129"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoshihiro Obata","raw_affiliation_strings":["University of Utah,Salt Lake City,UT","University of Utah, Salt Lake City, UT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah,Salt Lake City,UT","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"University of Utah, Salt Lake City, UT","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085970919","display_name":"Mohammad Farhadmanesh","orcid":"https://orcid.org/0000-0001-6772-0908"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Farhadmanesh","raw_affiliation_strings":["University of Utah,Salt Lake City,UT","University of Utah, Salt Lake City, UT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah,Salt Lake City,UT","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"University of Utah, Salt Lake City, UT","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068211043","display_name":"David Sacharny","orcid":"https://orcid.org/0000-0002-1625-3913"},"institutions":[{"id":"https://openalex.org/I4210143060","display_name":"Wastewater Compliance Systems (United States)","ror":"https://ror.org/05bbwmf37","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143060"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Sacharny","raw_affiliation_strings":["Chief Technology Officer, Blyncsy, Inc.,Salt Lake City,UT","Chief Technology Officer, Blyncsy, Inc., Salt Lake City, UT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chief Technology Officer, Blyncsy, Inc.,Salt Lake City,UT","institution_ids":["https://openalex.org/I4210143060"]},{"raw_affiliation_string":"Chief Technology Officer, Blyncsy, Inc., Salt Lake City, UT","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013051797","display_name":"Thomas C. Henderson","orcid":"https://orcid.org/0000-0002-0792-3882"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas C. Henderson","raw_affiliation_strings":["University of Utah,Salt Lake City,UT","University of Utah, Salt Lake City, UT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah,Salt Lake City,UT","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"University of Utah, Salt Lake City, UT","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1155,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42756611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T13282","display_name":"Automated Road and Building Extraction","score":0.9994000196456909,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7117336988449097},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6539541482925415},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5767112374305725},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5113224983215332},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4783632159233093},{"id":"https://openalex.org/keywords/asset","display_name":"Asset (computer security)","score":0.47358042001724243},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34473639726638794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31317809224128723},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.23977479338645935},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12990084290504456},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12072420120239258}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117336988449097},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6539541482925415},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5767112374305725},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5113224983215332},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4783632159233093},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.47358042001724243},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34473639726638794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31317809224128723},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.23977479338645935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12990084290504456},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12072420120239258},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi55806.2022.9913859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi55806.2022.9913859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W16455933","https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W2012742472","https://openalex.org/W2014852133","https://openalex.org/W2052533453","https://openalex.org/W2067713319","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2276973678","https://openalex.org/W2549139847","https://openalex.org/W2586661295","https://openalex.org/W2685699410","https://openalex.org/W2759636792","https://openalex.org/W2884742922","https://openalex.org/W2903456157","https://openalex.org/W2913860539","https://openalex.org/W2955425717","https://openalex.org/W2962753897","https://openalex.org/W2963163009","https://openalex.org/W3000770096","https://openalex.org/W3008659207","https://openalex.org/W3009899240","https://openalex.org/W3027137431","https://openalex.org/W3103946064","https://openalex.org/W3157288834","https://openalex.org/W3180297163","https://openalex.org/W3202731828","https://openalex.org/W3211201073","https://openalex.org/W4295312788","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6733240366","https://openalex.org/W6758949196","https://openalex.org/W6762718338","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2382021449","https://openalex.org/W2095118173","https://openalex.org/W2104269053","https://openalex.org/W2106424170","https://openalex.org/W1985426483","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W2010935248"],"abstract_inverted_index":{"A":[0],"growing":[1],"remote":[2],"sensing":[3],"network":[4,138,148,173],"comprised":[5],"of":[6,11,30,32,52,64,68,73,94,99,169,187,214,225],"consumer":[7,105],"dashcams":[8,180],"presents":[9,132],"Departments":[10],"Transportation":[12,215],"(DOTs)":[13],"worldwide":[14],"with":[15,25,227],"opportunities":[16],"to":[17,61,116,121,159,194,205],"dramatically":[18],"reduce":[19],"the":[20,43,62,77,83,92,97,152,156,196,211],"costs":[21],"and":[22,27,45,66,96,101,128,145,184,189,216,219],"effort":[23],"associated":[24],"monitoring":[26],"maintaining":[28],"hundreds":[29],"thousands":[31],"sign":[33,163],"assets":[34],"on":[35,85],"public":[36],"roadways.":[37],"However,":[38],"many":[39],"technical":[40],"challenges":[41],"confront":[42],"applications":[44],"technologies":[46],"that":[47,119,139,149],"will":[48],"enable":[49],"this":[50,123],"transformation":[51],"roadway":[53],"maintenance.":[54],"This":[55,130],"paper":[56,131],"highlights":[57],"an":[58,112],"efficient":[59,113],"approach":[60,110],"problem":[63],"detection":[65,127,137,158,172],"classification":[67,147,197],"more":[69],"than":[70],"600":[71,167],"classes":[72,168],"traffic":[74],"signs":[75,141],"in":[76,82,142,181],"United":[78],"States,":[79],"as":[80],"defined":[81],"Manual":[84],"Uniform":[86],"Traffic":[87],"Control":[88],"Devices":[89],"(MUTCD).":[90],"Given":[91],"variability":[93],"specifications":[95],"quality":[98],"images":[100,144],"metadata":[102],"collected":[103],"from":[104,155,165,179],"dashcams,":[106],"a":[107,133,136,146,161,185,228],"deep":[108],"learning":[109],"offers":[111],"development":[114,231],"tool":[115],"small":[117],"organizations":[118],"want":[120],"leverage":[122],"data":[124,178,191,208],"type":[125],"for":[126],"classification.":[129],"two-step":[134],"process,":[135],"locates":[140],"dashcam":[143],"first":[150],"extracts":[151],"bounding":[153],"box":[154],"previous":[157],"assign":[160],"specific":[162],"class":[164],"over":[166],"signs.":[170],"The":[171,199],"is":[174,192],"trained":[175],"using":[176],"labeled":[177],"Nashville,":[182],"Tennessee,":[183],"combination":[186],"real":[188],"synthetic":[190],"used":[193],"train":[195],"network.":[198],"architecture":[200],"presented":[201],"here":[202],"was":[203],"applied":[204],"real-world":[206],"image":[207],"provided":[209],"by":[210],"Utah":[212],"Department":[213],"Blyncsy,":[217],"Inc.,":[218],"achieved":[220],"modest":[221],"results":[222],"(test":[223],"accuracy":[224],"0.47)":[226],"relatively":[229],"low":[230],"time.":[232]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
