{"id":"https://openalex.org/W7155517695","doi":"https://doi.org/10.1109/icsc67292.2026.00027","title":"Cyclist Detection in Urban Traffic Using Fine-Tuned YOLO Models and Diverse Real-World Video Data","display_name":"Cyclist Detection in Urban Traffic Using Fine-Tuned YOLO Models and Diverse Real-World Video Data","publication_year":2026,"publication_date":"2026-02-02","ids":{"openalex":"https://openalex.org/W7155517695","doi":"https://doi.org/10.1109/icsc67292.2026.00027"},"language":null,"primary_location":{"id":"doi:10.1109/icsc67292.2026.00027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsc67292.2026.00027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Semantic Computing (ICSC)","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/A5109674566","display_name":"Saba Izadkhah","orcid":null},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saba Izadkhah","raw_affiliation_strings":["Portland State University,Department of Computer Science,Portland,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University,Department of Computer Science,Portland,USA","institution_ids":["https://openalex.org/I126345244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120610380","display_name":"Manikanta Kotthapalli","orcid":null},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manikanta Kotthapalli","raw_affiliation_strings":["Portland State University,Department of Computer Science,Portland,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University,Department of Computer Science,Portland,USA","institution_ids":["https://openalex.org/I126345244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134541528","display_name":"Banafsheh Rekabdar","orcid":null},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Banafsheh Rekabdar","raw_affiliation_strings":["Portland State University,Department of Computer Science,Portland,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University,Department of Computer Science,Portland,USA","institution_ids":["https://openalex.org/I126345244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134528558","display_name":"Andrew Wagner","orcid":null},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Wagner","raw_affiliation_strings":["Portland State University,Department of Computer Science,Portland,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University,Department of Computer Science,Portland,USA","institution_ids":["https://openalex.org/I126345244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053441787","display_name":"Sirisha Kothuri","orcid":"https://orcid.org/0000-0002-2952-169X"},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sirisha Kothuri","raw_affiliation_strings":["Portland State University,Civil and Environmental Engineering,Portland,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University,Civil and Environmental Engineering,Portland,USA","institution_ids":["https://openalex.org/I126345244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079514502","display_name":"Nathan McNeil","orcid":"https://orcid.org/0000-0002-0490-9794"},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan McNeil","raw_affiliation_strings":["Portland State University,Transportation Research and Education Center,Portland,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University,Transportation Research and Education Center,Portland,USA","institution_ids":["https://openalex.org/I126345244"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109674566"],"corresponding_institution_ids":["https://openalex.org/I126345244"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.90285972,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"140","last_page":"147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.24050000309944153,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.24050000309944153,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.15479999780654907,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.1468999981880188,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/data-collection","display_name":"Data collection","score":0.3001999855041504},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.27390000224113464},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.26660001277923584},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.257999986410141}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6075999736785889},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34150001406669617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32440000772476196},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2896000146865845},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.28220000863075256},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsc67292.2026.00027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsc67292.2026.00027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Semantic Computing (ICSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7989073395729065,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2340897893","https://openalex.org/W2565639579","https://openalex.org/W2950935200","https://openalex.org/W2963037989","https://openalex.org/W3096609285","https://openalex.org/W4281492582","https://openalex.org/W4285334786","https://openalex.org/W4404953120","https://openalex.org/W4411447459"],"related_works":[],"abstract_inverted_index":{"Reliable":[0],"detection":[1,145],"of":[2],"cyclist":[3,55,78,93,144,154],"and":[4,19,34,44,67,85,103,117,124,131,159,191,207,217,222,229],"person":[5,84,130],"samples":[6],"in":[7,32,179],"urban":[8,58],"traffic":[9,17,59],"is":[10,173],"critical":[11],"for":[12,57,225],"high-safety":[13],"autonomous":[14],"driving":[15,69],"systems,":[16],"analytics,":[18],"intelligent":[20],"transportation":[21],"systems.":[22],"These":[23],"classes":[24],"present":[25],"complementary":[26],"challenges,":[27],"as":[28,213],"pedestrians":[29,49],"vary":[30],"widely":[31],"pose":[33],"scale,":[35],"while":[36,181],"cyclists":[37],"show":[38],"high":[39],"intra-class":[40],"variation,":[41],"frequent":[42],"occlusions,":[43],"ambiguous":[45],"context,":[46],"similar":[47],"to":[48,127,231],"walking":[50],"bicycles.":[51],"We":[52,195],"built":[53],"a":[54,63,91,134,176],"detector":[56],"by":[60],"combining":[61],"COCO,":[62],"cyclist-focused":[64],"image":[65],"set,":[66],"in-house":[68],"videos.":[70],"Because":[71],"most":[72],"public":[73],"datasets":[74],"lack":[75],"an":[76],"explicit":[77],"label,":[79],"we":[80,113],"extract":[81],"it":[82],"from":[83],"bicycle":[86],"detections,":[87],"merge":[88],"them":[89],"into":[90],"single":[92],"box":[94],"if":[95],"their":[96],"Intersection":[97],"over":[98,146],"Union":[99],"(IoU)":[100],"exceeds":[101],"$\\tau=0.3$,":[102],"then":[104],"perform":[105],"targeted":[106],"manual":[107],"corrections.":[108],"Using":[109],"these":[110],"cyclist-enriched":[111],"data,":[112],"fine-tune":[114],"YOLOv8n,":[115],"YOLOv11n,":[116],"Faster":[118,182],"R-CNN":[119,183],"under":[120],"the":[121,163,185],"same":[122],"training":[123],"evaluation":[125],"protocol":[126],"jointly":[128],"detect":[129],"cyclist.":[132],"On":[133],"held-out":[135],"test":[136],"split,":[137],"fine-tuning":[138],"with":[139,175],"enriched":[140],"labels":[141],"significantly":[142],"improves":[143],"off-the-shelf":[147],"models.":[148],"YOLOv11n":[149],"obtains":[150],"mAP@":[151],"0.5":[152],"$=0.818$,":[153],"$\\mathrm{AP}":[155],"\\text{@}":[156],"0.5:":[157],"0.95=0.47$,":[158],"74":[160],"FPS,":[161,171],"achieving":[162],"best":[164],"accuracy-latency":[165],"balance;":[166],"YOLOv8n":[167],"runs":[168],"at":[169,203,238],"84":[170],"which":[172],"faster":[174],"small":[177],"drop":[178],"recall,":[180],"yields":[184],"highest":[186],"recall":[187],"but":[188],"lower":[189],"precision":[190],"much":[192],"higher":[193],"latency.":[194],"report":[196],"detailed":[197],"per-class":[198],"precision-recall":[199],"curves,":[200],"mAP":[201],"scores":[202],"multiple":[204],"IoU":[205],"thresholds,":[206],"discuss":[208],"common":[209],"failure":[210],"modes":[211],"such":[212],"occlusion,":[214],"rider\u2013bicycle":[215],"disambiguation,":[216],"crowded":[218],"scenes.":[219],"The":[220],"code":[221],"scripts":[223],"required":[224],"data":[226],"preparation,":[227],"training,":[228],"evaluation,":[230],"ensure":[232],"repeatability,":[233],"are":[234],"available":[235],"on":[236],"GitHub":[237],"https://github.com/manikantakotthapalli/Cyclist-detection-using-YOLO.":[239]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-04-25T00:00:00"}
