{"id":"https://openalex.org/W4411099450","doi":"https://doi.org/10.1145/3723178.3723232","title":"DeepUNet24: A Deep Learning Model for Lane Segmentation in Autonomous Vehicles Navigation","display_name":"DeepUNet24: A Deep Learning Model for Lane Segmentation in Autonomous Vehicles Navigation","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4411099450","doi":"https://doi.org/10.1145/3723178.3723232"},"language":"en","primary_location":{"id":"doi:10.1145/3723178.3723232","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723232","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723232","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723232","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106463507","display_name":"Hashibul Ahsan Shoaib","orcid":null},"institutions":[{"id":"https://openalex.org/I169077156","display_name":"St. Francis College","ror":"https://ror.org/00571jt67","country_code":"US","type":"education","lineage":["https://openalex.org/I169077156"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hashibul Ahsan Shoaib","raw_affiliation_strings":["Information Technology, St. Francis College, Brooklyn, USA"],"raw_orcid":"https://orcid.org/0009-0004-1212-8690","affiliations":[{"raw_affiliation_string":"Information Technology, St. Francis College, Brooklyn, USA","institution_ids":["https://openalex.org/I169077156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114089659","display_name":"Mst. Moushumi Khatun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mst. Moushumi Khatun","raw_affiliation_strings":["Advanced Machine Intelligence Research Lab, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0004-1897-2219","affiliations":[{"raw_affiliation_string":"Advanced Machine Intelligence Research Lab, Dhaka, Bangladesh","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111333170","display_name":"Md. Golam Rabbani Abir","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147955","display_name":"Bangladesh University of Business and Technology","ror":"https://ror.org/0400am365","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210147955"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Golam Rabbani Abir","raw_affiliation_strings":["Bangladesh University of Business and Technology, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0002-9462-5484","affiliations":[{"raw_affiliation_string":"Bangladesh University of Business and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I4210147955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072847609","display_name":"Adit Ishraq","orcid":"https://orcid.org/0009-0000-6015-3007"},"institutions":[{"id":"https://openalex.org/I4210147955","display_name":"Bangladesh University of Business and Technology","ror":"https://ror.org/0400am365","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210147955"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Adit Ishraq","raw_affiliation_strings":["Bangladesh University of Business and Technology, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0000-6015-3007","affiliations":[{"raw_affiliation_string":"Bangladesh University of Business and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I4210147955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108969055","display_name":"Sabiha Firdaus","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147955","display_name":"Bangladesh University of Business and Technology","ror":"https://ror.org/0400am365","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210147955"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sabiha Firdaus","raw_affiliation_strings":["Bangladesh University of Business and Technology, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0007-3809-4750","affiliations":[{"raw_affiliation_string":"Bangladesh University of Business and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I4210147955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011185016","display_name":"Kamruddin Nur","orcid":"https://orcid.org/0000-0002-4504-6649"},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Kamruddin Nur","raw_affiliation_strings":["American International University-Bangladesh, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-4504-6649","affiliations":[{"raw_affiliation_string":"American International University-Bangladesh, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I103434671"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071208302","display_name":"M. F. Mridha","orcid":"https://orcid.org/0000-0001-5738-1631"},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"M. Firoz Mridha","raw_affiliation_strings":["AIUB, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0001-5738-1631","affiliations":[{"raw_affiliation_string":"AIUB, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I103434671"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5106463507"],"corresponding_institution_ids":["https://openalex.org/I169077156"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31731903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"406","last_page":"413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9955999851226807,"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":0.7510279417037964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.682769775390625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6047415733337402},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5756045579910278},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5590824484825134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7510279417037964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682769775390625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6047415733337402},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5756045579910278},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5590824484825134}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3723178.3723232","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723232","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723232","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3723178.3723232","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723232","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723232","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411099450.pdf","grobid_xml":"https://content.openalex.org/works/W4411099450.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2115579991","https://openalex.org/W2167222293","https://openalex.org/W2786492053","https://openalex.org/W2909664640","https://openalex.org/W2969284583","https://openalex.org/W2972010883","https://openalex.org/W2981207549","https://openalex.org/W3035564946","https://openalex.org/W3160976452","https://openalex.org/W3191343975","https://openalex.org/W4200229038","https://openalex.org/W4205490951","https://openalex.org/W4229054655","https://openalex.org/W4285046977","https://openalex.org/W4312993245","https://openalex.org/W4318445778","https://openalex.org/W4319963700","https://openalex.org/W4382052469","https://openalex.org/W4383618040","https://openalex.org/W4385213405","https://openalex.org/W4385586875","https://openalex.org/W4385810785","https://openalex.org/W4386474890","https://openalex.org/W4389356553","https://openalex.org/W4392453526","https://openalex.org/W4394786088","https://openalex.org/W4395017287","https://openalex.org/W4401539366","https://openalex.org/W4401687462","https://openalex.org/W4403284445","https://openalex.org/W4408181533","https://openalex.org/W4409348904"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","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"],"abstract_inverted_index":{"This":[0],"paper":[1,93],"presents":[2],"a":[3,39,47,62,131,149],"comprehensive":[4],"study":[5],"on":[6],"road":[7,156],"lane":[8,84,135],"segmentation":[9,136],"using":[10],"an":[11],"advanced":[12],"convolutional":[13,105],"neural":[14],"network":[15],"architecture,":[16,101],"DeepUNet24,":[17],"which":[18,86,112],"builds":[19],"upon":[20],"the":[21,24,32,71,96,99,123,128,141],"U-Net":[22],"model.Utilizing":[23],"KITTI":[25],"Road":[26],"dataset":[27],"for":[28,89,134,152],"training":[29],"and":[30,61,77,82,107,125,147],"evaluation,":[31],"DeepUNet24":[33,100],"model":[34],"achieves":[35],"remarkable":[36],"performance":[37],"metrics:":[38],"mean":[40],"Intersection":[41],"over":[42],"Union":[43],"(mIoU)":[44],"of":[45,50,53,56,59,67,127,143],"98.35%,":[46],"Dice":[48],"coefficient":[49],"99.25%,":[51],"precision":[52],"98.72%,":[54],"recall":[55],"97.60%,":[57],"specificity":[58],"97.15%,":[60],"Maximum":[63],"F1":[64],"Score":[65],"(MaxF)":[66],"98.65%.These":[68],"results":[69],"highlight":[70],"model's":[72],"superior":[73],"boundary":[74],"delineation":[75],"capabilities":[76],"its":[78,115],"effectiveness":[79],"in":[80,98,155],"accurate":[81],"reliable":[83],"detection,":[85],"is":[87],"crucial":[88],"autonomous":[90,144],"driving":[91],"applications.The":[92],"also":[94],"explores":[95],"enhancements":[97],"such":[102],"as":[103],"refined":[104],"operations":[106],"improved":[108],"feature":[109],"integration":[110],"techniques,":[111],"contribute":[113],"to":[114],"high":[116],"performance.Through":[117],"detailed":[118],"experimental":[119],"analysis,":[120],"we":[121],"validate":[122],"robustness":[124],"efficiency":[126],"model,":[129],"establishing":[130],"new":[132],"state-of-the-art":[133],"tasks.This":[137],"work":[138],"significantly":[139],"advances":[140],"field":[142],"vehicle":[145],"perception":[146],"provides":[148],"solid":[150],"framework":[151],"future":[153],"research":[154],"environment":[157],"recognition.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
