{"id":"https://openalex.org/W2563033105","doi":"https://doi.org/10.1109/gcce.2016.7800320","title":"Classification and tracking of large vehicles for night driving","display_name":"Classification and tracking of large vehicles for night driving","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2563033105","doi":"https://doi.org/10.1109/gcce.2016.7800320","mag":"2563033105"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2016.7800320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2016.7800320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 5th Global Conference on Consumer Electronics","raw_type":"proceedings-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":"https://openalex.org/A5078555166","display_name":"Jiann-Der Lee","orcid":"https://orcid.org/0000-0001-6310-0488"},"institutions":[{"id":"https://openalex.org/I173093425","display_name":"Chang Gung University","ror":"https://ror.org/00d80zx46","country_code":"TW","type":"education","lineage":["https://openalex.org/I173093425"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jiann-Der Lee","raw_affiliation_strings":["Department of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan 333"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan 333","institution_ids":["https://openalex.org/I173093425"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739157","display_name":"Yong\u2010Sheng Chen","orcid":"https://orcid.org/0000-0002-5581-850X"},"institutions":[{"id":"https://openalex.org/I173093425","display_name":"Chang Gung University","ror":"https://ror.org/00d80zx46","country_code":"TW","type":"education","lineage":["https://openalex.org/I173093425"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yong-Sheng Chen","raw_affiliation_strings":["Department of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan 333"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan 333","institution_ids":["https://openalex.org/I173093425"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051278635","display_name":"Jong-Chih Chien","orcid":"https://orcid.org/0000-0001-8626-5525"},"institutions":[{"id":"https://openalex.org/I174748290","display_name":"Kainan University","ror":"https://ror.org/018p1hd91","country_code":"TW","type":"education","lineage":["https://openalex.org/I174748290"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jong-Chih Chien","raw_affiliation_strings":["Department of Information Management, Kainan University, Taoyuan, Taiwan 33857"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Kainan University, Taoyuan, Taiwan 33857","institution_ids":["https://openalex.org/I174748290"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078555166"],"corresponding_institution_ids":["https://openalex.org/I173093425"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59229362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7497312426567078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7099249362945557},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6315927505493164},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5946400165557861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5876383185386658},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5462855100631714},{"id":"https://openalex.org/keywords/safe-driving","display_name":"Safe driving","score":0.4264855682849884},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4252842366695404},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3137340545654297},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2541393041610718},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05553561449050903}],"concepts":[{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7497312426567078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099249362945557},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6315927505493164},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5946400165557861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5876383185386658},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5462855100631714},{"id":"https://openalex.org/C3018929209","wikidata":"https://www.wikidata.org/wiki/Q1061983","display_name":"Safe driving","level":2,"score":0.4264855682849884},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4252842366695404},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3137340545654297},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2541393041610718},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05553561449050903},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2016.7800320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2016.7800320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 5th Global Conference on Consumer Electronics","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":7,"referenced_works":["https://openalex.org/W1781959951","https://openalex.org/W2048710758","https://openalex.org/W2091913622","https://openalex.org/W2105628432","https://openalex.org/W2121955477","https://openalex.org/W2122723498","https://openalex.org/W2164598857"],"related_works":["https://openalex.org/W3039673966","https://openalex.org/W2002351707","https://openalex.org/W4293699968","https://openalex.org/W2035096001","https://openalex.org/W4312843811","https://openalex.org/W2923621274","https://openalex.org/W2327035729","https://openalex.org/W2366906938","https://openalex.org/W3112414093","https://openalex.org/W4210778126"],"abstract_inverted_index":{"Night":[0],"driving":[1,7],"is":[2,94],"dangerous":[3],"already,":[4],"but":[5],"when":[6],"near":[8],"a":[9,37,57,67],"large":[10,33,52,82],"vehicle,":[11],"the":[12,16,19,46,49,79],"danger":[13],"multiplies.":[14],"Because":[15],"attention":[17,30],"of":[18,51,59,81,92],"driver":[20],"at":[21],"night":[22],"could":[23],"be":[24],"distracted":[25],"thus":[26],"fail":[27],"to":[28,31,48,75],"pay":[29],"dangerously":[32],"vehicles,":[34],"we":[35],"propose":[36],"component":[38,55],"for":[39],"ADAS":[40],"systems":[41],"that":[42,70,89],"will":[43],"help":[44],"alert":[45],"drivers":[47],"presence":[50],"vehicles.":[53,83],"This":[54],"utilizes":[56],"combination":[58,91],"rear":[60],"lights":[61],"detector,":[62],"LBP-based":[63],"Adaboost":[64],"classifier":[65,69],"and":[66,77],"BOF":[68],"uses":[71],"patent-free":[72],"feature":[73],"extractors/descriptors":[74],"extract":[76],"verify":[78],"existence":[80],"The":[84],"preliminary":[85],"experimental":[86],"results":[87],"show":[88],"this":[90],"setup":[93],"feasible":[95],"in":[96],"achieving":[97],"desired":[98],"results.":[99]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}