{"id":"https://openalex.org/W2311289276","doi":"https://doi.org/10.1109/tits.2015.2493160","title":"Sensor Fusion Algorithm Design in Detecting Vehicles Using Laser Scanner and Stereo Vision","display_name":"Sensor Fusion Algorithm Design in Detecting Vehicles Using Laser Scanner and Stereo Vision","publication_year":2015,"publication_date":"2015-11-09","ids":{"openalex":"https://openalex.org/W2311289276","doi":"https://doi.org/10.1109/tits.2015.2493160","mag":"2311289276"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2015.2493160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2015.2493160","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":"https://openalex.org/A5100627394","display_name":"Seungki Kim","orcid":"https://orcid.org/0000-0001-7990-427X"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seungki Kim","raw_affiliation_strings":["Department of Automotive Engineering, Hanyang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103609704","display_name":"Hyunkyu Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunkyu Kim","raw_affiliation_strings":["Department of Automotive Engineering, Hanyang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108235418","display_name":"Wonseok Yoo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonseok Yoo","raw_affiliation_strings":["LG Electronics, Incheon, Korea"],"affiliations":[{"raw_affiliation_string":"LG Electronics, Incheon, Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085528812","display_name":"Kunsoo Huh","orcid":"https://orcid.org/0000-0002-7179-7841"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kunsoo Huh","raw_affiliation_strings":["Department of Automotive Engineering, Hanyang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100627394"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":9.8193,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.97577504,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"17","issue":"4","first_page":"1072","last_page":"1084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9933000206947327,"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/computer-vision","display_name":"Computer vision","score":0.8265084028244019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7818084955215454},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.6514362692832947},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6498236656188965},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.6263728141784668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5678626298904419},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5303820967674255},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.5095134377479553},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5084437727928162},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.4529532194137573},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43685758113861084},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.33168014883995056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2334139347076416},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10976877808570862}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8265084028244019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7818084955215454},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.6514362692832947},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6498236656188965},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.6263728141784668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5678626298904419},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5303820967674255},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.5095134377479553},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5084437727928162},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.4529532194137573},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43685758113861084},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.33168014883995056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2334139347076416},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10976877808570862},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2015.2493160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2015.2493160","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":21,"referenced_works":["https://openalex.org/W1531218787","https://openalex.org/W1954022664","https://openalex.org/W1964566051","https://openalex.org/W1970827925","https://openalex.org/W1982852503","https://openalex.org/W1994904900","https://openalex.org/W2009813887","https://openalex.org/W2062341668","https://openalex.org/W2065467285","https://openalex.org/W2077578685","https://openalex.org/W2084139689","https://openalex.org/W2091739459","https://openalex.org/W2110514477","https://openalex.org/W2121247293","https://openalex.org/W2124564319","https://openalex.org/W2125994488","https://openalex.org/W2133017515","https://openalex.org/W2134963432","https://openalex.org/W2138828804","https://openalex.org/W2146445301","https://openalex.org/W2147291488"],"related_works":["https://openalex.org/W897367340","https://openalex.org/W4252521546","https://openalex.org/W2946859545","https://openalex.org/W2183753145","https://openalex.org/W307265996","https://openalex.org/W1992486622","https://openalex.org/W2905493506","https://openalex.org/W2949709491","https://openalex.org/W128884630","https://openalex.org/W1987397303"],"abstract_inverted_index":{"It":[0],"is":[1,69,96,118,124,138,154],"well":[2],"known":[3],"that":[4,47],"laser":[5,32,64,107,111],"scanner":[6,65,112],"has":[7],"better":[8,29],"accuracy":[9],"than":[10,30],"stereo":[11,23,67,128],"vision":[12,24,68,129],"in":[13,50,168],"detecting":[14],"the":[15,20,27,31,48,63,75,90,101,106,127,142,147,150,157],"distance":[16],"and":[17,66,81,123,149],"velocity":[18],"of":[19,36,89,105,171],"obstacles,":[21],"whereas":[22],"can":[25,39,52],"distinguish":[26],"objects":[28],"scanner.":[33,108],"These":[34],"advantages":[35],"each":[37],"sensor":[38,43,60],"be":[40,53],"maximized":[41],"by":[42,120],"fusion":[44,61],"approach":[45],"so":[46],"obstacles":[49],"front":[51],"detected":[54],"accurately.":[55],"In":[56],"this":[57],"paper,":[58],"high-level":[59],"for":[62,71,86,156],"developed":[70,98],"object":[72,79,143],"matching":[73,144,152,163],"between":[74,146],"sensors.":[76],"Time":[77],"synchronization,":[78],"age,":[80],"reordering":[82],"algorithms":[83,164],"are":[84,165],"designed":[85],"robust":[87],"tracking":[88],"objects.":[91],"A":[92,135],"time-delay":[93],"update":[94],"algorithm":[95],"also":[97],"to":[99,140],"determine":[100],"process":[102],"time":[103],"delay":[104],"The":[109,161],"expanded":[110],"data":[113,130],"at":[114,131],"every":[115,132],"1":[116],"ms":[117],"predicted":[119],"Kalman":[121],"filter":[122],"matched":[125],"with":[126],"66":[133],"ms.":[134],"cost":[136,159],"function":[137],"formulated":[139],"describe":[141],"similarity":[145],"sensors,":[148],"best":[151],"candidate":[153],"selected":[155],"minimum":[158],"function.":[160],"proposed":[162],"verified":[166],"experimentally":[167],"field":[169],"tests":[170],"various":[172],"maneuvering":[173],"cases.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
