{"id":"https://openalex.org/W4408280791","doi":"https://doi.org/10.1109/tits.2025.3545554","title":"Advanced Lane Detection and Tracking Using Robust Thresholding and Frame Coherence","display_name":"Advanced Lane Detection and Tracking Using Robust Thresholding and Frame Coherence","publication_year":2025,"publication_date":"2025-03-10","ids":{"openalex":"https://openalex.org/W4408280791","doi":"https://doi.org/10.1109/tits.2025.3545554"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3545554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3545554","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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":null,"display_name":"Saumya Srivastava","orcid":"https://orcid.org/0000-0003-1018-1768"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Saumya Srivastava","raw_affiliation_strings":["Department of Design and Manufacturing, Indian Institute of Science, Bengaluru, India"],"raw_orcid":"https://orcid.org/0000-0003-1018-1768","affiliations":[{"raw_affiliation_string":"Department of Design and Manufacturing, Indian Institute of Science, Bengaluru, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073788865","display_name":"Rina Maiti","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rina Maiti","raw_affiliation_strings":["Department of Design and Manufacturing, Indian Institute of Science, Bengaluru, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Design and Manufacturing, Indian Institute of Science, Bengaluru, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.6099,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64736145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"26","issue":"6","first_page":"8441","last_page":"8453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9952999949455261,"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":0.9952999949455261,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.733141303062439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6224277019500732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6123529076576233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.604253888130188},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5477350354194641},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5368590354919434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3447471261024475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21927854418754578},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11879131197929382},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09185659885406494}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.733141303062439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6224277019500732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6123529076576233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.604253888130188},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5477350354194641},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5368590354919434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3447471261024475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21927854418754578},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11879131197929382},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09185659885406494},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3545554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3545554","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1548942607","https://openalex.org/W1562763993","https://openalex.org/W1629522576","https://openalex.org/W1856128652","https://openalex.org/W1968256263","https://openalex.org/W1968258901","https://openalex.org/W1980026261","https://openalex.org/W1996567593","https://openalex.org/W2006244290","https://openalex.org/W2014632812","https://openalex.org/W2032438872","https://openalex.org/W2038270407","https://openalex.org/W2042105889","https://openalex.org/W2067101234","https://openalex.org/W2074258069","https://openalex.org/W2078132328","https://openalex.org/W2080553371","https://openalex.org/W2096233477","https://openalex.org/W2102049273","https://openalex.org/W2103866601","https://openalex.org/W2106843475","https://openalex.org/W2106976646","https://openalex.org/W2118545852","https://openalex.org/W2131076267","https://openalex.org/W2133059825","https://openalex.org/W2133648827","https://openalex.org/W2135852591","https://openalex.org/W2136929315","https://openalex.org/W2145023731","https://openalex.org/W2152422345","https://openalex.org/W2169886432","https://openalex.org/W2170178366","https://openalex.org/W2211466563","https://openalex.org/W2294873883","https://openalex.org/W2401333338","https://openalex.org/W2568012128","https://openalex.org/W2599231600","https://openalex.org/W2745410201","https://openalex.org/W2790715811","https://openalex.org/W2883607191","https://openalex.org/W2886366493","https://openalex.org/W2890635226","https://openalex.org/W3003608824","https://openalex.org/W3193992545","https://openalex.org/W4402896958","https://openalex.org/W6745490350"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W3123806511","https://openalex.org/W1976727107"],"abstract_inverted_index":{"Despite":[0],"the":[1,39,79,88,98,114,118,140,158,186,213],"development":[2],"of":[3,94,134,167,241],"several":[4],"vision-based":[5],"methods":[6],"over":[7],"past":[8],"decades,":[9],"lane":[10,24,55,74,95,123,137,224,230],"detection":[11,25,56,75,124,176,239],"is":[12,26,76,84,127,183,192,216],"still":[13],"a":[14,108,131,178,236],"challenging":[15],"issue":[16],"in":[17,43,139,162,229],"computer":[18],"vision":[19],"community.":[20],"Traditional":[21],"research":[22],"on":[23,29,87,152],"mainly":[27],"based":[28,86,151],"inter-frame":[30,168],"similarity.":[31],"Conversely,":[32],"our":[33,198],"methodology":[34,72],"challenges":[35],"this":[36,49,122],"assumption,":[37],"allowing":[38],"algorithm":[40],"to":[41,129,157,218],"adapt":[42,156],"diverse":[44],"dynamic":[45,132],"driving":[46,164],"scenarios.":[47],"In":[48,78,121],"paper,":[50],"we":[51],"proposed":[52,190,214],"an":[53],"advanced":[54],"and":[57,63,91,105,177,197,206,232],"tracking":[58,126],"method":[59,191,215],"using":[60,107,194],"robust":[61,144,217],"thresholding":[62,83],"frame":[64],"coherence.":[65],"A":[66],"novel":[67],"two":[68],"stage":[69],"feature":[70],"extraction":[71],"for":[73,136],"introduced.":[77],"initial":[80],"stage,":[81],"adaptive":[82],"employed":[85,184],"local":[89],"statistical":[90],"geometrical":[92],"constraints":[93],"markings":[96],"at":[97,117,203],"sub-image":[99],"level.":[100,120],"Subsequently,":[101],"artifacts":[102],"are":[103,149,171],"addressed":[104],"removed":[106],"vertical":[109],"aggregation":[110],"technique":[111],"combined":[112],"with":[113,173,235],"Hough":[115],"transform":[116],"regional":[119],"framework,":[125],"integrated":[128],"establish":[130],"area":[133],"interest":[135],"search":[138],"subsequent":[141],"frame.":[142],"For":[143],"tracking,":[145],"Kalman":[146],"filter":[147],"parameters":[148],"adjusted":[150],"measurement":[153],"reliability.":[154],"To":[155],"non-linear":[159],"variations":[160],"inherent":[161],"real-world":[163],"scenarios,":[165,226],"outcomes":[166],"similarity":[169],"analysis":[170],"compared":[172],"periodic":[174],"full-frame":[175],"moving":[179],"average":[180,238],"window":[181],"estimator":[182],"within":[185],"verification":[187],"protocol.":[188],"The":[189],"evaluated":[193],"Caltech":[195],"dataset":[196],"dataset,":[199],"which":[200],"was":[201],"recorded":[202],"Indian":[204],"highway":[205],"urban":[207],"roads.":[208],"Experiment":[209],"results":[210],"shows":[211],"that":[212],"varying":[219],"illumination":[220],"conditions,":[221],"dense":[222],"shadows,":[223],"change":[225,228],"abrupt":[227],"width,":[231],"occluded":[233],"lanes":[234],"whooping":[237],"rate":[240],"98.37%.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}