{"id":"https://openalex.org/W4408703542","doi":"https://doi.org/10.1109/ipas63548.2025.10924552","title":"A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone","display_name":"A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone","publication_year":2025,"publication_date":"2025-01-09","ids":{"openalex":"https://openalex.org/W4408703542","doi":"https://doi.org/10.1109/ipas63548.2025.10924552"},"language":"en","primary_location":{"id":"doi:10.1109/ipas63548.2025.10924552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas63548.2025.10924552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS)","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/A5049953469","display_name":"Abu Shad Ahammed","orcid":"https://orcid.org/0009-0007-6715-8098"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abu Shad Ahammed","raw_affiliation_strings":["University of Siegen,Chair of Embedded Systems,Siegen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen,Chair of Embedded Systems,Siegen,Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111353230","display_name":"Md Shahi Amran Hossain","orcid":null},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Md Shahi Amran Hossain","raw_affiliation_strings":["University of Siegen,Chair of Embedded Systems,Siegen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen,Chair of Embedded Systems,Siegen,Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007015294","display_name":"Roman Obermaisser","orcid":"https://orcid.org/0009-0002-4483-1503"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roman Obermaisser","raw_affiliation_strings":["University of Siegen,Chair of Embedded Systems,Siegen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen,Chair of Embedded Systems,Siegen,Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6983,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95471541,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6456790566444397},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.43565040826797485},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.42502856254577637},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4205875098705292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3737068474292755},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3389838933944702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3358563184738159},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23994973301887512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6456790566444397},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.43565040826797485},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.42502856254577637},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4205875098705292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3737068474292755},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3389838933944702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3358563184738159},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23994973301887512}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipas63548.2025.10924552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas63548.2025.10924552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6399999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2102595860","https://openalex.org/W2136929315","https://openalex.org/W2165065922","https://openalex.org/W2332618872","https://openalex.org/W2607127338","https://openalex.org/W2896726780","https://openalex.org/W2916342164","https://openalex.org/W2921528463","https://openalex.org/W3034269714","https://openalex.org/W3209499093","https://openalex.org/W4285006898","https://openalex.org/W4285055452","https://openalex.org/W4379386160","https://openalex.org/W4386471863","https://openalex.org/W4386963036","https://openalex.org/W4389508379","https://openalex.org/W4394980586","https://openalex.org/W4399711017","https://openalex.org/W4400748541","https://openalex.org/W4403125772","https://openalex.org/W6745935785"],"related_works":["https://openalex.org/W2053208463","https://openalex.org/W2755342338","https://openalex.org/W2779427294","https://openalex.org/W2357620620","https://openalex.org/W2775347418","https://openalex.org/W2625805835","https://openalex.org/W2079911747","https://openalex.org/W3116076068","https://openalex.org/W2586783863","https://openalex.org/W3003936178"],"abstract_inverted_index":{"To":[0],"build":[1,124],"a":[2,7,15,125,138],"smarter":[3],"and":[4,10,33,71,97,115,144,166],"safer":[5,126],"city,":[6],"secure,":[8],"efficient,":[9],"sustainable":[11],"transportation":[12,32,128],"system":[13,21,55],"is":[14,34],"key":[16],"requirement.":[17],"The":[18,130],"autonomous":[19,53,169],"driving":[20,54,90],"(ADS)":[22,56],"plays":[23],"an":[24,52,95,146],"important":[25],"role":[26],"in":[27,45,84,112],"the":[28,38,42,89,134,153,157,160],"development":[29],"of":[30,37,76,88,149,159],"smart":[31],"considered":[35],"one":[36],"major":[39],"challenges":[40],"facing":[41],"automotive":[43],"sector":[44],"recent":[46],"decades.":[47],"A":[48,73],"car":[49],"equipped":[50],"with":[51,58,133],"comes":[57],"various":[59],"cutting-edge":[60],"functionalities":[61],"such":[62],"as":[63],"adaptive":[64],"cruise":[65],"control,":[66],"collision":[67],"alerts,":[68],"automated":[69],"parking,":[70],"more.":[72],"primary":[74],"area":[75],"research":[77],"within":[78],"ADAS":[79],"involves":[80],"identifying":[81],"road":[82,100,127],"obstacles":[83],"construction":[85,113],"zones":[86,114],"regardless":[87],"environment.":[91],"This":[92],"paper":[93],"presents":[94],"innovative":[96],"highly":[98],"accurate":[99],"obstacle":[101],"detection":[102],"model":[103,131],"utilizing":[104],"computer":[105],"vision":[106],"technology":[107],"that":[108],"can":[109],"be":[110],"activated":[111],"functions":[116],"under":[117],"diverse":[118],"drift":[119],"conditions,":[120],"ultimately":[121],"contributing":[122],"to":[123,163],"system.":[129],"developed":[132],"YOLO":[135],"framework":[136],"achieved":[137],"mean":[139],"average":[140],"precision":[141],"exceeding":[142],"94%":[143],"demonstrated":[145],"inference":[147],"time":[148],"1.6":[150],"milliseconds":[151],"on":[152],"validation":[154],"dataset,":[155],"underscoring":[156],"robustness":[158],"methodology":[161],"applied":[162],"mitigate":[164],"hazards":[165],"risks":[167],"for":[168],"vehicles.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}