{"id":"https://openalex.org/W4405490814","doi":"https://doi.org/10.1109/iccspa61559.2024.10794365","title":"Image Enhancement for Better VRU Detection in Challenging Weather Conditions","display_name":"Image Enhancement for Better VRU Detection in Challenging Weather Conditions","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4405490814","doi":"https://doi.org/10.1109/iccspa61559.2024.10794365"},"language":"en","primary_location":{"id":"doi:10.1109/iccspa61559.2024.10794365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccspa61559.2024.10794365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","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/A5115513804","display_name":"Ahmed Elgazwy","orcid":"https://orcid.org/0000-0001-8080-8701"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ahmed Elgazwy","raw_affiliation_strings":["Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082668499","display_name":"Hossameldin Ouda","orcid":null},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hossameldin Ouda","raw_affiliation_strings":["Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ammar Elmoghazy","orcid":null},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ammar Elmoghazy","raw_affiliation_strings":["Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002428197","display_name":"Ghadeer Abdelkader","orcid":null},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ghadeer Abdelkader","raw_affiliation_strings":["Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Austin Page","orcid":null},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Austin Page","raw_affiliation_strings":["Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026935022","display_name":"Khalid Elgazzar","orcid":"https://orcid.org/0000-0002-5892-632X"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Khalid Elgazzar","raw_affiliation_strings":["Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ontario Tech University,IoT Research Laboratory,Oshawa,Ontario,Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032036732","display_name":"Alaa Khamis","orcid":"https://orcid.org/0000-0003-3008-835X"},"institutions":[{"id":"https://openalex.org/I867584213","display_name":"General Motors (Canada)","ror":"https://ror.org/04vd6qx78","country_code":"CA","type":"company","lineage":["https://openalex.org/I118136607","https://openalex.org/I867584213"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alaa Khamis","raw_affiliation_strings":["Canadian Technical Centre, General Motors,Connected Vehicles and HMI Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Canadian Technical Centre, General Motors,Connected Vehicles and HMI Group","institution_ids":["https://openalex.org/I867584213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3198,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61403618,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.4352000057697296,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.4352000057697296,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.5781702399253845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4352743327617645},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4029550552368164},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.330142080783844},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13500964641571045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5781702399253845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4352743327617645},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4029550552368164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.330142080783844},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13500964641571045}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccspa61559.2024.10794365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccspa61559.2024.10794365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8299999833106995,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W7682646","https://openalex.org/W54257720","https://openalex.org/W2038713671","https://openalex.org/W2086298272","https://openalex.org/W2101981311","https://openalex.org/W2254039850","https://openalex.org/W2560533888","https://openalex.org/W2771583656","https://openalex.org/W3106758205","https://openalex.org/W3159421928","https://openalex.org/W4225672218","https://openalex.org/W6703318133"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0,65],"paper":[1],"introduces":[2],"a":[3,23,29,38,44,85,91,100,136,172],"new":[4],"approach":[5],"to":[6,54,59,95,107,110,140,152],"improve":[7],"the":[8,41,52,60,63,67,112,154,162,185,193,197],"performance":[9],"of":[10,62,196],"object":[11],"detection":[12,75,199],"techniques":[13,76],"in":[14,77,99,119],"challenging":[15],"weather":[16],"conditions":[17],"through":[18,135,149],"image":[19,115,129],"enhancement.":[20],"In":[21,80],"2018,":[22],"tragic":[24],"accident":[25],"occurred":[26],"while":[27],"testing":[28,170],"self-driving":[30],"vehicle":[31,53],"under":[32],"severe":[33],"bad":[34],"lighting":[35,125],"conditions,":[36,126],"where":[37],"person":[39],"crossing":[40],"street":[42],"with":[43,171],"bicycle":[45],"was":[46],"not":[47],"detected":[48,155],"early":[49],"enough":[50],"for":[51,70,177],"take":[55],"action,":[56],"which":[57],"led":[58],"death":[61],"cyclist.":[64],"shows":[66,160],"dire":[68],"need":[69],"robust,":[71],"fast,":[72],"and":[73,103,128,191],"efficient":[74],"adversarial":[78],"conditions.":[79],"this":[81,120],"paper,":[82],"we":[83,117],"propose":[84],"novel":[86],"processing":[87,187],"pipeline":[88,182],"that":[89,161],"contains":[90],"multilabel":[92,164],"classifier":[93,138,165],"trained":[94],"capture":[96],"quality":[97,143],"issues":[98],"given":[101],"frame":[102,133,146,186],"then":[104,147],"passes":[105,148],"it":[106],"proper":[108],"filters":[109,151],"enhance":[111],"quality.":[113],"The":[114,131,145,180],"qualities":[116,156],"target":[118],"study":[121],"include":[122],"low":[123],"visibility/bad":[124],"blurring,":[127],"distortion.":[130],"raw":[132],"goes":[134],"multi-label":[137],"first":[139],"detect":[141],"possible":[142],"degradation.":[144],"various":[150],"fix":[153],"accordingly.":[157],"Performance":[158],"evaluation":[159],"proposed":[163,181],"achieves":[166],"80%":[167],"accuracy":[168],"during":[169],"20-ms":[173],"average":[174],"inference":[175],"time":[176],"each":[178],"frame.":[179],"also":[183],"enhances":[184],"delay":[188],"by":[189,201],"3x":[190],"increases":[192],"confidence":[194],"score":[195],"YOLO":[198],"algorithm":[200],"5%":[202],"on":[203],"average.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}