{"id":"https://openalex.org/W3208115218","doi":"https://doi.org/10.1109/isamsr53229.2021.9567892","title":"Vision-Based Unmarked Road Detection with Semantic Segmentation using Mask R-CNN for Lane Departure Warning System","display_name":"Vision-Based Unmarked Road Detection with Semantic Segmentation using Mask R-CNN for Lane Departure Warning System","publication_year":2021,"publication_date":"2021-09-06","ids":{"openalex":"https://openalex.org/W3208115218","doi":"https://doi.org/10.1109/isamsr53229.2021.9567892","mag":"3208115218"},"language":"en","primary_location":{"id":"doi:10.1109/isamsr53229.2021.9567892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isamsr53229.2021.9567892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036297462","display_name":"Harold Japok Anak Undit","orcid":null},"institutions":[{"id":"https://openalex.org/I4528857","display_name":"University of Kuala Lumpur","ror":"https://ror.org/026wwrx19","country_code":"MY","type":"education","lineage":["https://openalex.org/I4528857"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Harold Japok Anak Undit","raw_affiliation_strings":["Industrial Automation Section, Universiti Kuala Lumpur Malaysia France Institute, Bandar Baru Bangi, Selangor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Automation Section, Universiti Kuala Lumpur Malaysia France Institute, Bandar Baru Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I4528857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011753413","display_name":"Mohd Fadzil Abu Hassan","orcid":"https://orcid.org/0000-0002-4870-2461"},"institutions":[{"id":"https://openalex.org/I4528857","display_name":"University of Kuala Lumpur","ror":"https://ror.org/026wwrx19","country_code":"MY","type":"education","lineage":["https://openalex.org/I4528857"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Fadzil Abu Hassan","raw_affiliation_strings":["Universiti Kuala Lumpur Malaysia France Institute UniKL Robotics and Industrial Automation Center (URIAC), Bandar Baru Bangi, Selangor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Kuala Lumpur Malaysia France Institute UniKL Robotics and Industrial Automation Center (URIAC), Bandar Baru Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I4528857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091433080","display_name":"Zalhan Mohd Zin","orcid":"https://orcid.org/0000-0003-2887-1679"},"institutions":[{"id":"https://openalex.org/I4528857","display_name":"University of Kuala Lumpur","ror":"https://ror.org/026wwrx19","country_code":"MY","type":"education","lineage":["https://openalex.org/I4528857"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Zalhan Mohd Zin","raw_affiliation_strings":["Universiti Kuala Lumpur Malaysia France Institute UniKL Robotics and Industrial Automation Center (URIAC), Bandar Baru Bangi, Selangor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Kuala Lumpur Malaysia France Institute UniKL Robotics and Industrial Automation Center (URIAC), Bandar Baru Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I4528857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4528857"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9919000267982483,"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":0.7801923155784607},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7697057723999023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7649952173233032},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7208457589149475},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6237627863883972},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5830609798431396},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4843098223209381},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45827317237854004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7801923155784607},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7697057723999023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7649952173233032},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7208457589149475},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6237627863883972},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5830609798431396},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4843098223209381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45827317237854004}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isamsr53229.2021.9567892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isamsr53229.2021.9567892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1948751323","https://openalex.org/W1995700534","https://openalex.org/W2023806251","https://openalex.org/W2073521500","https://openalex.org/W2096693318","https://openalex.org/W2102605133","https://openalex.org/W2562137921","https://openalex.org/W2600135936","https://openalex.org/W2607537553","https://openalex.org/W2770233088","https://openalex.org/W2806070179","https://openalex.org/W2883607191","https://openalex.org/W2891529090","https://openalex.org/W2891630079","https://openalex.org/W2902240649","https://openalex.org/W2943055722","https://openalex.org/W2963591855","https://openalex.org/W2963664486","https://openalex.org/W2966670320","https://openalex.org/W3003398009","https://openalex.org/W3030768045","https://openalex.org/W3039392141","https://openalex.org/W3041442181","https://openalex.org/W3138209199","https://openalex.org/W4289293306","https://openalex.org/W6756223733"],"related_works":["https://openalex.org/W2004370856","https://openalex.org/W1669643531","https://openalex.org/W2122581818","https://openalex.org/W1631910785","https://openalex.org/W2159066190","https://openalex.org/W2110230079","https://openalex.org/W2117933325","https://openalex.org/W2739874619","https://openalex.org/W2772397313","https://openalex.org/W1721780360"],"abstract_inverted_index":{"Road":[0],"Lane":[1,9],"detection":[2,31,137],"plays":[3],"an":[4],"essential":[5],"role":[6],"in":[7,21,141],"a":[8],"Departure":[10],"Warning":[11],"System":[12],"(LDWS).":[13],"LDWS":[14],"application":[15],"faces":[16],"difficulty":[17],"to":[18,37,40,77,81,118],"detect":[19,82],"lanes":[20],"complex":[22],"environments":[23],"such":[24],"as":[25],"unmarked":[26,33,69,84,99,124,135],"roads.":[27],"The":[28,73,113,129],"vision-based":[29],"lane":[30],"for":[32,46,127],"roads":[34,125],"is":[35],"difficult":[36],"perform":[38,91],"due":[39],"vague":[41],"and":[42,62,90],"inconsistent":[43],"visual":[44],"features":[45],"object":[47],"detection.":[48],"In":[49],"this":[50],"study,":[51],"the":[52,65,79,83,98,120,144],"Mask":[53,133],"Region":[54],"Convolutional":[55],"Neural":[56],"Networks":[57],"(Mask":[58],"R-CNN)":[59],"was":[60,75,116,139],"reconstructed":[61],"trained":[63,76,114],"with":[64,86,101],"collection":[66],"of":[67,97,123,131],"annotated":[68,107],"road":[70,85,88,100,136],"image":[71,110],"datasets.":[72],"model":[74,115,138],"enable":[78],"system":[80],"various":[87,102],"conditions":[89,104],"semantic":[92],"segmentation.":[93],"About":[94],"2,000":[95],"samples":[96],"background":[103],"images":[105],"were":[106],"using":[108,143],"VGG":[109],"Annotator":[111],"Tool.":[112],"evaluated":[117],"get":[119],"desired":[121],"performance":[122,130],"segmentation":[126],"LDWS.":[128],"deployed":[132],"R-CNN":[134],"80.2%":[140],"accuracy":[142],"Mean":[145],"Average":[146],"Precision":[147],"method.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}