{"id":"https://openalex.org/W2747821285","doi":"https://doi.org/10.1080/15472450.2017.1366320","title":"A low-cost video-based pavement distress screening system for low-volume roads","display_name":"A low-cost video-based pavement distress screening system for low-volume roads","publication_year":2017,"publication_date":"2017-08-18","ids":{"openalex":"https://openalex.org/W2747821285","doi":"https://doi.org/10.1080/15472450.2017.1366320","mag":"2747821285"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2017.1366320","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1366320","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-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/A5070456429","display_name":"Wai Yeung Yan","orcid":"https://orcid.org/0000-0001-7813-1666"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Wai Yeung Yan","raw_affiliation_strings":["Department of Civil Engineering, Ryerson University, Toronto, Ontario, Canada","Ryerson Institute for Infrastructure Innovation, Ryerson University, Toronto, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7813-1666","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Ryerson University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Ryerson Institute for Infrastructure Innovation, Ryerson University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078359460","display_name":"Xian\u2010Xun Yuan","orcid":"https://orcid.org/0000-0002-0182-0516"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"X.-X. Yuan","raw_affiliation_strings":["Department of Civil Engineering, Ryerson University, Toronto, Ontario, Canada","Ryerson Institute for Infrastructure Innovation, Ryerson University, Toronto, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0002-0182-0516","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Ryerson University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Ryerson Institute for Infrastructure Innovation, Ryerson University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070456429"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":4.3501,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.9364226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"5","first_page":"376","last_page":"389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":1.0,"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":1.0,"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9876000285148621,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9847000241279602,"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/computer-science","display_name":"Computer science","score":0.5626161098480225},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4489903450012207},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41648396849632263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3259992003440857},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.292549729347229}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5626161098480225},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4489903450012207},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41648396849632263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3259992003440857},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.292549729347229},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2017.1366320","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1366320","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4099999964237213,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1495971627","https://openalex.org/W1591541137","https://openalex.org/W1603903339","https://openalex.org/W1670272738","https://openalex.org/W1673310716","https://openalex.org/W1960097882","https://openalex.org/W1968256263","https://openalex.org/W1969651667","https://openalex.org/W1993288712","https://openalex.org/W1998239578","https://openalex.org/W2005029343","https://openalex.org/W2005603577","https://openalex.org/W2008488233","https://openalex.org/W2011301426","https://openalex.org/W2026131180","https://openalex.org/W2031703128","https://openalex.org/W2033819500","https://openalex.org/W2038863809","https://openalex.org/W2059713017","https://openalex.org/W2062140013","https://openalex.org/W2063413791","https://openalex.org/W2065429801","https://openalex.org/W2069223289","https://openalex.org/W2070931317","https://openalex.org/W2075631365","https://openalex.org/W2077070276","https://openalex.org/W2081857838","https://openalex.org/W2084928902","https://openalex.org/W2085261163","https://openalex.org/W2096487733","https://openalex.org/W2097500895","https://openalex.org/W2099296360","https://openalex.org/W2101234009","https://openalex.org/W2106238010","https://openalex.org/W2119381501","https://openalex.org/W2128628015","https://openalex.org/W2129534965","https://openalex.org/W2132239597","https://openalex.org/W2136929315","https://openalex.org/W2138361487","https://openalex.org/W2144801789","https://openalex.org/W2145023731","https://openalex.org/W2146292423","https://openalex.org/W2146575011","https://openalex.org/W2152422345","https://openalex.org/W2169283906","https://openalex.org/W3102168793","https://openalex.org/W3210232381"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"the":[3,26,34,83,94,110,137,180,208,235],"use":[4],"of":[5,29,75,82,160,169,194,207],"consumer-grade":[6],"video":[7,30,121,141],"camera":[8],"to":[9,25,185],"develop":[10,55],"a":[11,18,56,73,98,105,187,195,216,231],"low-cost":[12],"pavement":[13,88,177,237],"distress":[14,133,164,238],"screening":[15,118,189,239],"system,":[16,62,179],"with":[17,201],"particular":[19],"focus":[20],"on":[21,140],"low-volume":[22,146],"roads.":[23],"Due":[24],"oblique":[27],"view":[28,46],"data":[31,67,142,232],"captured":[32],"in":[33,152],"car":[35],"front,":[36],"existing":[37],"crack":[38,131,162],"detection":[39,101],"algorithms":[40],"that":[41],"are":[42],"tailor-made":[43],"for":[44,116,144,191,234],"nadir":[45],"cannot":[47],"be":[48,91,211],"used":[49],"directly.":[50],"Instead,":[51],"we":[52],"propose":[53],"and":[54,150,163,200],"Video-based":[57],"PAvement":[58],"Distress":[59],"Screening":[60],"(VPADS)":[61],"which":[63],"includes":[64],"an":[65],"automatic":[66],"processing":[68],"workflow":[69],"by":[70,96,104,214,221],"first":[71],"defining":[72],"Region":[74],"Interest":[76],"(RoI)":[77],"through":[78],"robust":[79],"line":[80],"fitting":[81],"two":[84,145],"side":[85],"lanes.":[86],"The":[87,157,205],"condition":[89],"can":[90,210,227],"assessed":[92],"within":[93],"RoI":[95],"implementing":[97],"multi-scale":[99],"ridge":[100],"filter":[102],"followed":[103],"boundary":[106],"contour":[107],"analysis.":[108],"Since":[109],"proposed":[111,138,181],"VPADS":[112,182],"system":[113,139,183],"is":[114,124],"designed":[115],"preliminary":[117],"purpose,":[119],"each":[120],"image":[122],"scene":[123],"examined":[125],"if":[126],"there":[127],"exists":[128],"any":[129,222],"potential":[130],"or":[132,174],"feature(s).":[134],"We":[135],"tested":[136],"collected":[143],"roads":[147],"(Highway":[148],"624":[149],"668)":[151],"Northern":[153],"Ontario":[154],"region,":[155],"Canada.":[156],"overall":[158],"accuracy":[159],"detecting":[161],"features":[165],"yielded":[166],"80%.":[167],"Instead":[168],"replacing":[170],"traditional":[171],"field":[172],"inspection":[173,203,218],"high-end":[175],"multi-sensor":[176],"evaluation":[178],"aims":[184],"provide":[186],"computer-aided":[188],"solution":[190],"transportation":[192],"authorities":[193],"vast":[196],"rural":[197],"road/highway":[198],"network":[199,219],"limited":[202],"budget.":[204],"scope":[206],"work":[209],"further":[212],"expanded":[213],"developing":[215],"crowdsensing":[217],"built":[220],"regular":[223],"road":[224],"user,":[225],"who":[226],"also":[228],"act":[229],"as":[230],"provider":[233],"regional/municipal":[236],"system.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
