{"id":"https://openalex.org/W2580364023","doi":"https://doi.org/10.2352/issn.2470-1173.2016.14.ipmva-386","title":"Automated Lane Detection by K-means Clustering: A Machine Learning Approach","display_name":"Automated Lane Detection by K-means Clustering: A Machine Learning Approach","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2580364023","doi":"https://doi.org/10.2352/issn.2470-1173.2016.14.ipmva-386","mag":"2580364023"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.14.ipmva-386","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.14.ipmva-386","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/28/14/art00011","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/28/14/art00011","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014171819","display_name":"R Ajaykumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ajaykumar R","raw_affiliation_strings":["Institute of Technology Bombay, Mumbai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Technology Bombay, Mumbai","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102996191","display_name":"Arpit Gupta","orcid":"https://orcid.org/0009-0009-0530-1404"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arpit Gupta","raw_affiliation_strings":["Institute of Technology Bombay, Mumbai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Technology Bombay, Mumbai","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102254660","display_name":"Prof S N Merchant","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prof S N Merchant","raw_affiliation_strings":["Institute of Technology Bombay, Mumbai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Technology Bombay, Mumbai","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1889,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88568425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"28","issue":"14","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":0.9979000091552734,"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":0.9979000091552734,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.994700014591217,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.8318053483963013},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7377126812934875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7297842502593994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.64373379945755},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5746088027954102},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5354825258255005},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48712825775146484},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.4536456763744354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37354615330696106},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20462629199028015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15124812722206116}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.8318053483963013},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7377126812934875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297842502593994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.64373379945755},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5746088027954102},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5354825258255005},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48712825775146484},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.4536456763744354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37354615330696106},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20462629199028015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15124812722206116},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.14.ipmva-386","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.14.ipmva-386","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/28/14/art00011","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/issn.2470-1173.2016.14.ipmva-386","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.14.ipmva-386","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/28/14/art00011","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2580364023.pdf","grobid_xml":"https://content.openalex.org/works/W2580364023.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W1968256263","https://openalex.org/W1987971958","https://openalex.org/W2022572658","https://openalex.org/W2026131180","https://openalex.org/W2061828845","https://openalex.org/W6642409998"],"related_works":["https://openalex.org/W1967492795","https://openalex.org/W4389539476","https://openalex.org/W2120258591","https://openalex.org/W2378227553","https://openalex.org/W1584028106","https://openalex.org/W2113424041","https://openalex.org/W2385548616","https://openalex.org/W4313193953","https://openalex.org/W2967215460","https://openalex.org/W1789480965"],"abstract_inverted_index":{"With":[0],"the":[1,4,7,19,39,44,67,71,75,83,89,99,104,107,121],"advent":[2],"of":[3,11,21,70,85],"driverless":[5],"cars,":[6],"importance":[8,17],"and":[9,23,46,117,125,131],"accuracy":[10],"lane":[12,34],"detection":[13,35],"has":[14],"achieved":[15],"paramount":[16],"in":[18,54,87,120],"field":[20],"perception":[22],"imaging.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28],"propose":[29],"an":[30],"algorithm":[31],"to":[32,51,58,73,81,97,114,128],"achieve":[33],"on":[36],"roads":[37],"using":[38,110],"real-time":[40,111],"data":[41,53,72,90,113],"gathered":[42],"by":[43],"camera":[45],"applying":[47],"K-means":[48],"clustering":[49],"method":[50,65,109],"report":[52],"a":[55,60],"manner":[56],"suitable":[57],"create":[59],"solvable":[61],"map.":[62],"The":[63],"proposed":[64,108],"uses":[66],"physical":[68],"nature":[69],"cluster":[74],"data.":[76],"Silhouette":[77],"coefficient":[78],"is":[79],"used":[80],"determine":[82],"number":[84],"clusters":[86],"which":[88],"should":[91],"be":[92],"divided.":[93],"Lanes":[94],"are":[95],"interpolated":[96],"get":[98],"correct":[100],"markings.":[101],"We":[102],"demonstrate":[103],"efficacy":[105],"of,":[106],"traffic":[112],"noise,":[115],"shadows,":[116],"illumination":[118],"variations":[119],"captured":[122],"road":[123],"images,":[124],"its":[126],"applicability":[127],"both":[129],"marked":[130],"unmarked":[132],"roads.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}