{"id":"https://openalex.org/W4403676189","doi":"https://doi.org/10.1109/icac61394.2024.10718773","title":"UAV and AI-Driven Approaches for Accurate Species Classification in Railway Trackside Vegetation Management","display_name":"UAV and AI-Driven Approaches for Accurate Species Classification in Railway Trackside Vegetation Management","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4403676189","doi":"https://doi.org/10.1109/icac61394.2024.10718773"},"language":"en","primary_location":{"id":"doi:10.1109/icac61394.2024.10718773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icac61394.2024.10718773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 29th International Conference on Automation and Computing (ICAC)","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/A5114372260","display_name":"Mohammed Mahbubur Rob Mahid","orcid":null},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mohammed Mahbubur Rob Mahid","raw_affiliation_strings":["Univeristy of Essex,School of Computer Science and Electronic Engineering,Colchester,UK"],"affiliations":[{"raw_affiliation_string":"Univeristy of Essex,School of Computer Science and Electronic Engineering,Colchester,UK","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113463814","display_name":"Adrian F. Clark","orcid":null},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Adrian F Clark","raw_affiliation_strings":["Univeristy of Essex,School of Computer Science and Electronic Engineering,Colchester,UK"],"affiliations":[{"raw_affiliation_string":"Univeristy of Essex,School of Computer Science and Electronic Engineering,Colchester,UK","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024866256","display_name":"John Woods","orcid":"https://orcid.org/0000-0002-9907-4733"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John C Woods","raw_affiliation_strings":["Univeristy of Essex,School of Computer Science and Electronic Engineering,Colchester,UK"],"affiliations":[{"raw_affiliation_string":"Univeristy of Essex,School of Computer Science and Electronic Engineering,Colchester,UK","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042584242","display_name":"Xiaojun Zhai","orcid":"https://orcid.org/0000-0002-1030-8311"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaojun Zhai","raw_affiliation_strings":["Univeristy of Essex,School of Computer Science and Electronic Engineering,Colchester,UK"],"affiliations":[{"raw_affiliation_string":"Univeristy of Essex,School of Computer Science and Electronic Engineering,Colchester,UK","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113482438","display_name":"James S. Brennan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James Brennan","raw_affiliation_strings":["Railscape Ltd,Rayleigh,UK"],"affiliations":[{"raw_affiliation_string":"Railscape Ltd,Rayleigh,UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114372260"],"corresponding_institution_ids":["https://openalex.org/I110002522"],"apc_list":null,"apc_paid":null,"fwci":0.2177,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50941915,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9821000099182129,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9821000099182129,"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"}},{"id":"https://openalex.org/T12012","display_name":"Diatoms and Algae Research","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/2502","display_name":"Biomaterials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9320999979972839,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/vegetation","display_name":"Vegetation (pathology)","score":0.7320444583892822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5991725325584412},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4202349781990051},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16872954368591309},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07608062028884888}],"concepts":[{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.7320444583892822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5991725325584412},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4202349781990051},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16872954368591309},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07608062028884888},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icac61394.2024.10718773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icac61394.2024.10718773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 29th International Conference on Automation and Computing (ICAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4699999988079071,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1916279681","display_name":null,"funder_award_id":"EP/V034111/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320335087","display_name":"Innovate UK","ror":"https://ror.org/05ar5fy68"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2089212648","https://openalex.org/W2949933664","https://openalex.org/W3158630354","https://openalex.org/W4200250223","https://openalex.org/W4221116350","https://openalex.org/W4386324994","https://openalex.org/W4395073183","https://openalex.org/W6635350329"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Railway":[0],"trackside":[1],"vegetation":[2,75,96,132],"management":[3],"is":[4],"vital":[5],"for":[6,102,139],"safe":[7],"and":[8,15,33,117,127,142],"reliable":[9],"operations.":[10],"We":[11],"explore":[12],"integrating":[13],"UAV":[14,47,126],"AI":[16,26,128],"technologies":[17,129],"to":[18],"enhance":[19],"this":[20],"practice.":[21],"Our":[22],"study":[23],"developed":[24],"two":[25],"models:":[27],"a":[28,34,41],"Mask":[29],"R-CNN-based":[30],"segmentation":[31,60],"model":[32,61,81],"feature":[35],"classifier-based":[36],"classification":[37,80],"model,":[38],"both":[39],"using":[40],"ResNet50":[42],"backbone.":[43],"Trained":[44],"on":[45],"extensive":[46],"imagery":[48],"datasets":[49],"annotated":[50],"by":[51],"domain":[52],"experts,":[53],"the":[54,69,79,88,122],"models":[55],"achieved":[56,62],"promising":[57],"results.":[58],"The":[59],"78%":[63],"average":[64,85],"accuracy":[65,108],"while":[66],"validating":[67],"with":[68,83,87,136],"ground":[70,89],"truth,":[71],"providing":[72],"insights":[73],"into":[74],"density.":[76],"In":[77],"contrast,":[78],"excelled":[82],"96%":[84],"precision":[86],"truth":[90,112],"data,":[91],"particularly":[92],"in":[93,130],"identifying":[94],"prevalent":[95],"species.":[97],"Analysis":[98],"reveals":[99],"strong":[100],"performance":[101],"specific":[103],"species":[104],"despite":[105],"overall":[106],"segment":[107],"being":[109],"lower.":[110],"Ground":[111],"data":[113],"validation":[114],"ensured":[115],"robustness":[116],"accuracy.":[118],"This":[119],"research":[120],"demonstrates":[121],"transformative":[123],"potential":[124],"of":[125],"railway":[131],"management,":[133],"empowering":[134],"operators":[135],"advanced":[137],"tools":[138],"efficiency,":[140],"safety,":[141],"sustainability.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}