{"id":"https://openalex.org/W2157713585","doi":"https://doi.org/10.1109/itsc.2009.5309542","title":"Tracking and detection of lane and vehicle integrating lane and vehicle information using PDAF tracking model","display_name":"Tracking and detection of lane and vehicle integrating lane and vehicle information using PDAF tracking model","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2157713585","doi":"https://doi.org/10.1109/itsc.2009.5309542","mag":"2157713585"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2009.5309542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","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/A5013834987","display_name":"Ssu-Ying Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ssu-Ying Hung","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070424910","display_name":"Yi-Ming Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Ming Chan","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032100189","display_name":"Bin-Feng Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bin-Feng Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101925654","display_name":"Li\u2010Chen Fu","orcid":"https://orcid.org/0000-0002-6947-7646"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Chen Fu","raw_affiliation_strings":["Department of Electrical Engineering and Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008432754","display_name":"Pei\u2010Yung Hsiao","orcid":"https://orcid.org/0000-0003-1750-7118"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pei-Yung Hsiao","raw_affiliation_strings":["Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113583073","display_name":"Shin-Shinh Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I109289231","display_name":"National Kaohsiung First University of Science and Technology","ror":"https://ror.org/03858r716","country_code":"TW","type":"education","lineage":["https://openalex.org/I109289231"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shin-Shinh Huang","raw_affiliation_strings":["Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I109289231"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","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":0.9993000030517578,"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":0.9993000030517578,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7436195611953735},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.7433741688728333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7411847114562988},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.6876344680786133},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6610321402549744},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.49395138025283813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46201291680336},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.46014153957366943},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44849491119384766},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4478505551815033},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4426663815975189},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43775850534439087},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.42794784903526306},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4152475595474243},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33464401960372925}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7436195611953735},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.7433741688728333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411847114562988},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.6876344680786133},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6610321402549744},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.49395138025283813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46201291680336},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.46014153957366943},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44849491119384766},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4478505551815033},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4426663815975189},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43775850534439087},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.42794784903526306},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4152475595474243},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33464401960372925},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2009.5309542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1519680709","https://openalex.org/W1598581100","https://openalex.org/W1863163046","https://openalex.org/W1967007359","https://openalex.org/W1968256263","https://openalex.org/W2040720916","https://openalex.org/W2092282499","https://openalex.org/W2097394146","https://openalex.org/W2100903240","https://openalex.org/W2103866601","https://openalex.org/W2116367120","https://openalex.org/W2120121093","https://openalex.org/W2125656467","https://openalex.org/W2130799764","https://openalex.org/W2131350633","https://openalex.org/W2133013499","https://openalex.org/W2135852591","https://openalex.org/W2136929315","https://openalex.org/W2138988010","https://openalex.org/W2146575011","https://openalex.org/W2149730819","https://openalex.org/W2153238269","https://openalex.org/W2154271851","https://openalex.org/W2155511848","https://openalex.org/W2159977237","https://openalex.org/W2161472961","https://openalex.org/W2162295117","https://openalex.org/W2169233188","https://openalex.org/W2571050459","https://openalex.org/W3187867541","https://openalex.org/W6682912219","https://openalex.org/W6683464027"],"related_works":["https://openalex.org/W2029659389","https://openalex.org/W2351041772","https://openalex.org/W2760582368","https://openalex.org/W2625197920","https://openalex.org/W2105651458","https://openalex.org/W2149361474","https://openalex.org/W4401329496","https://openalex.org/W2054656021","https://openalex.org/W286567303","https://openalex.org/W1933470448"],"abstract_inverted_index":{"We":[0,46],"propose":[1],"a":[2,91],"robust":[3],"system":[4],"for":[5],"multi-vehicle":[6,119],"and":[7,13,33,58,98,103,120],"multi-lane":[8,121],"detection":[9,81,104],"with":[10],"integrating":[11],"lane":[12,31,57,97],"vehicle":[14,34,99],"information.":[15,100],"Most":[16],"research":[17],"work":[18],"only":[19],"can":[20,78,105,117],"detect":[21,118],"the":[22,28,54,72,80,88,96],"lanes":[23],"or":[24],"vehicles":[25],"separately.":[26],"However,":[27],"dependency":[29],"between":[30],"information":[32,35,55],"are":[36],"able":[37],"to":[38,52],"support":[39],"each":[40,107],"other":[41,108],"achieving":[42],"more":[43],"reliable":[44],"results.":[45],"use":[47],"probabilistic":[48,61],"data":[49,62,73],"association":[50,63,74],"filter":[51],"integrate":[53],"of":[56,67,85],"vehicle.":[59],"In":[60],"filter,":[64],"cumulate":[65],"history":[66],"target":[68],"is":[69],"kept":[70],"in":[71],"probability.":[75],"Target":[76],"tracking":[77,102],"improve":[79],"results":[82,112],"through":[83,109],"region":[84],"interests.":[86],"At":[87],"same":[89],"time,":[90],"high-level":[92],"traffic":[93],"model":[94],"combines":[95],"The":[101],"benefit":[106],"iterations.":[110],"Experimental":[111],"show":[113],"that":[114],"our":[115],"approach":[116],"reliably.":[122]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}