{"id":"https://openalex.org/W2804524713","doi":"https://doi.org/10.1109/tase.2018.2830655","title":"Generalized Haar Filter-Based Object Detection for Car Sharing Services","display_name":"Generalized Haar Filter-Based Object Detection for Car Sharing Services","publication_year":2018,"publication_date":"2018-05-16","ids":{"openalex":"https://openalex.org/W2804524713","doi":"https://doi.org/10.1109/tase.2018.2830655","mag":"2804524713"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2018.2830655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2018.2830655","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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":"https://openalex.org/A5010263668","display_name":"Keyu Lu","orcid":"https://orcid.org/0000-0001-7968-0106"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyu Lu","raw_affiliation_strings":["College of Mechatronics and Automation, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechatronics and Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402515","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-5749-2734"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["College of Mechatronics and Automation, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechatronics and Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026176376","display_name":"Li Zhou","orcid":"https://orcid.org/0000-0003-4099-6917"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhou","raw_affiliation_strings":["College of Mechatronics and Automation, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechatronics and Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007941489","display_name":"Xiping Hu","orcid":"https://orcid.org/0000-0002-4952-699X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiping Hu","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034574139","display_name":"Xiangjing An","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjing An","raw_affiliation_strings":["College of Mechatronics and Automation, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechatronics and Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110188567","display_name":"Hangen He","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangen He","raw_affiliation_strings":["College of Mechatronics and Automation, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechatronics and Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6516,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.84815859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"15","issue":"4","first_page":"1448","last_page":"1458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","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/T11942","display_name":"Transportation and Mobility Innovations","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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.5917635560035706},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5330445170402527},{"id":"https://openalex.org/keywords/filtering-theory","display_name":"Filtering theory","score":0.5136539340019226},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49529901146888733},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.41664689779281616},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37006354331970215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35838377475738525},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3214683532714844},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.13190403580665588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5917635560035706},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5330445170402527},{"id":"https://openalex.org/C2988922011","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering theory","level":2,"score":0.5136539340019226},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49529901146888733},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.41664689779281616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37006354331970215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35838377475738525},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3214683532714844},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.13190403580665588},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2018.2830655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2018.2830655","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3363893172","display_name":"\u4efb\u52a1\u76f8\u5173\u89c6\u89c9\u6ce8\u610f\u673a\u5236\u4e0e\u975e\u5b89\u5168\u9a7e\u9a76\u72b6\u6001\u5206\u6790\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61473303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W173077987","https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W1536680647","https://openalex.org/W1607307044","https://openalex.org/W1994541145","https://openalex.org/W1999085092","https://openalex.org/W2053318092","https://openalex.org/W2060600497","https://openalex.org/W2088049833","https://openalex.org/W2091727893","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2114766824","https://openalex.org/W2117287331","https://openalex.org/W2119144962","https://openalex.org/W2119605622","https://openalex.org/W2119821739","https://openalex.org/W2120972216","https://openalex.org/W2125556102","https://openalex.org/W2140491322","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2154271851","https://openalex.org/W2161969291","https://openalex.org/W2162762921","https://openalex.org/W2163605009","https://openalex.org/W2163943109","https://openalex.org/W2165037244","https://openalex.org/W2167089254","https://openalex.org/W2168356304","https://openalex.org/W2178242898","https://openalex.org/W2194775991","https://openalex.org/W2211397329","https://openalex.org/W2219614949","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2410718017","https://openalex.org/W2756247023","https://openalex.org/W2951978180","https://openalex.org/W2963037989","https://openalex.org/W2964299589","https://openalex.org/W3097096317","https://openalex.org/W3106250896","https://openalex.org/W3122289956","https://openalex.org/W4239510810","https://openalex.org/W4255272544","https://openalex.org/W6606990671","https://openalex.org/W6636382570","https://openalex.org/W6673507896","https://openalex.org/W6677580257","https://openalex.org/W6678000929","https://openalex.org/W6681554747","https://openalex.org/W6683411478","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2975200075","https://openalex.org/W2007544051","https://openalex.org/W1974395974","https://openalex.org/W2314054190","https://openalex.org/W1837097281","https://openalex.org/W1966410754","https://openalex.org/W2363840281","https://openalex.org/W2016398835","https://openalex.org/W2128435482","https://openalex.org/W2557461402"],"abstract_inverted_index":{"Object":[0,133],"detection":[1,18,40,115,134],"is":[2,116,197,211],"important":[3,118,127],"in":[4,19,129,148,154,166,226],"car":[5,20,130,155,187,227],"sharing":[6,21,131,156,188,228],"services.":[7,22,132,157,189,229],"Accuracy,":[8],"efficiency,":[9],"and":[10,64,95,142,151,176,204,214],"low":[11],"memory":[12,63],"consumption":[13,61],"are":[14],"desirable":[15],"for":[16,137,186],"object":[17,39,167],"This":[23,190],"paper":[24,191],"presents":[25],"a":[26,73,171,193],"network":[27,57],"system":[28],"that":[29,102],"satisfies":[30],"all":[31],"these":[32],"requirements.":[33],"Our":[34,209],"approach":[35,104,195,210,225],"first":[36],"divides":[37],"the":[38,51,60,80,200,205,220,223],"task":[41],"into":[42],"multiple":[43],"simpler":[44],"local":[45,206],"regression":[46,207],"tasks.":[47],"Then,":[48],"we":[49,71],"propose":[50],"generalized":[52,201],"Haar":[53,202],"filter-based":[54],"convolutional":[55],"neural":[56],"to":[58,78,113,183],"reduce":[59,79],"of":[62,82,120,174,222],"computing":[65,177],"resource.":[66],"To":[67],"achieve":[68],"real-time":[69],"performance,":[70],"introduce":[72],"sparse":[74],"window":[75],"generation":[76],"strategy":[77],"number":[81],"input":[83],"image":[84],"patches":[85],"without":[86],"sacrificing":[87],"accuracy.":[88],"We":[89],"perform":[90],"experiments":[91],"on":[92,199],"both":[93],"vehicle":[94,122],"pedestrian":[96],"data":[97],"sets.":[98],"Experimental":[99],"results":[100,218],"demonstrate":[101],"our":[103],"can":[105,146],"accurately":[106],"detect":[107],"objects":[108],"under":[109],"challenging":[110],"conditions.":[111],"Note":[112],"Practitioners-Object":[114],"an":[117,126,163],"part":[119],"intelligent":[121],"technologies,":[123],"which":[124,145,179,196],"play":[125],"role":[128],"provides":[135],"metadata":[136],"collision":[138],"avoidance,":[139],"self-driving":[140],"systems,":[141,144],"driver-assistance":[143],"result":[147],"better":[149],"safety":[150],"consumer":[152],"experiences":[153],"Although":[158],"deep":[159],"learning":[160],"has":[161],"achieved":[162],"excellent":[164],"performance":[165],"detection,":[168],"they":[169],"consume":[170],"large":[172],"amount":[173],"storage":[175],"resource,":[178],"makes":[180],"them":[181],"difficult":[182],"be":[184],"deployed":[185],"suggests":[192],"novel":[194],"based":[198],"filter":[203],"strategy.":[208],"accurate,":[212],"efficient,":[213],"light.":[215],"The":[216],"experimental":[217],"verify":[219],"effectiveness":[221],"proposed":[224]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}