{"id":"https://openalex.org/W4403211000","doi":"https://doi.org/10.1109/icecet61485.2024.10698144","title":"City Road Condition Evaluation Through Artificial Vision Information When Driving: A Machine Learning Approach","display_name":"City Road Condition Evaluation Through Artificial Vision Information When Driving: A Machine Learning Approach","publication_year":2024,"publication_date":"2024-07-25","ids":{"openalex":"https://openalex.org/W4403211000","doi":"https://doi.org/10.1109/icecet61485.2024.10698144"},"language":"en","primary_location":{"id":"doi:10.1109/icecet61485.2024.10698144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet61485.2024.10698144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electrical, Computer and Energy Technologies (ICECET","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/A5092727560","display_name":"Abhiram Karukayil","orcid":null},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Abhiram Karukayil","raw_affiliation_strings":["School of Engineering and Physical Sciences, Heriot-Watt University, National Robotarium,Edinburgh,UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Physical Sciences, Heriot-Watt University, National Robotarium,Edinburgh,UK","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061931953","display_name":"Fernando Auat Cheein","orcid":"https://orcid.org/0000-0002-6347-7696"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fernando Auat Cheein","raw_affiliation_strings":["School of Engineering and Physical Sciences, Heriot-Watt University, National Robotarium,Edinburgh,UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Physical Sciences, Heriot-Watt University, National Robotarium,Edinburgh,UK","institution_ids":["https://openalex.org/I32062511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092727560"],"corresponding_institution_ids":["https://openalex.org/I32062511"],"apc_list":null,"apc_paid":null,"fwci":0.2734,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55941218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9599999785423279,"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":0.9599999785423279,"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":0.9132000207901001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6360348463058472},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.6298617720603943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6038782000541687},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4578065574169159},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37585973739624023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6360348463058472},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.6298617720603943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6038782000541687},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4578065574169159},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37585973739624023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet61485.2024.10698144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet61485.2024.10698144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electrical, Computer and Energy Technologies (ICECET","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2770866044","https://openalex.org/W2904722804","https://openalex.org/W2912236777","https://openalex.org/W2947568086","https://openalex.org/W2951940080","https://openalex.org/W3000348847","https://openalex.org/W3033355903","https://openalex.org/W3043481597","https://openalex.org/W3124942917","https://openalex.org/W3204369957","https://openalex.org/W3215829569","https://openalex.org/W4213361372","https://openalex.org/W4281480072","https://openalex.org/W4283712488","https://openalex.org/W4285804288","https://openalex.org/W4312056195","https://openalex.org/W4390874575","https://openalex.org/W6850787431"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2058170566","https://openalex.org/W4306674287","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"The":[0,104],"condition":[1,28,153],"of":[2,19,81,84,102,119,161],"urban":[3,71,170],"roads":[4,25],"is":[5],"a":[6,44,53,128,145,158],"major":[7],"concern":[8],"for":[9,97,148,168],"many":[10],"city":[11],"councils,":[12],"as":[13],"it":[14],"directly":[15],"impacts":[16],"the":[17,70,79,85,98,115],"safety":[18],"both":[20,37],"vehicles":[21],"and":[22,31,39,59,67,95,100,117,150],"pedestrians.":[23],"Maintaining":[24],"in":[26,123],"optimal":[27],"necessitates":[29],"regular":[30],"thorough":[32],"inspections,":[33],"which":[34],"can":[35],"be":[36],"costly":[38],"resource-intensive.":[40],"This":[41,140],"study":[42],"introduces":[43],"novel":[45],"approach":[46],"to":[47],"monitoring":[48,154],"road":[49,152],"conditions":[50],"by":[51],"employing":[52],"fusion":[54],"strategy":[55],"that":[56],"combines":[57],"camera":[58],"instance":[60],"segmentation":[61],"techniques,":[62],"enabling":[63],"precise":[64],"pothole":[65,124],"identification":[66],"mapping":[68],"within":[69],"landscape.":[72],"In":[73],"our":[74],"research,":[75],"we":[76],"have":[77],"evaluated":[78],"performance":[80,134],"four":[82],"iterations":[83],"YOLO":[86,121],"(You":[87],"Only":[88],"Look":[89],"Once)":[90],"algorithm":[91],"(YOLOv5,":[92],"YOLOv6,":[93],"YOLOv7,":[94],"YOLOv8)":[96],"detection":[99,125,163],"characterisation":[101],"potholes.":[103],"systems":[105],"were":[106],"trained":[107],"using":[108],"publicly":[109],"available":[110],"datasets.":[111],"Our":[112],"findings":[113],"reveal":[114],"strengths":[116],"weaknesses":[118],"each":[120],"version":[122],"tasks,":[126],"with":[127],"surprising":[129],"outcome:":[130],"YOLOv5":[131],"demonstrates":[132],"superior":[133],"over":[135],"its":[136],"more":[137],"recent":[138],"successors.":[139],"work":[141],"not":[142],"only":[143],"provides":[144],"feasible":[146],"solution":[147],"continuous":[149],"automated":[151],"but":[155],"also":[156],"offers":[157],"comparative":[159],"analysis":[160],"cutting-edge":[162],"technologies,":[164],"contributing":[165],"valuable":[166],"insights":[167],"future":[169],"infrastructure":[171],"maintenance":[172],"strategies.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
