{"id":"https://openalex.org/W2926824455","doi":"https://doi.org/10.1109/bigcomp.2019.8679264","title":"Multi-Source Feature Extraction and Visualization for Driving Behavior Analysis","display_name":"Multi-Source Feature Extraction and Visualization for Driving Behavior Analysis","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2926824455","doi":"https://doi.org/10.1109/bigcomp.2019.8679264","mag":"2926824455"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2019.8679264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","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/A5103019673","display_name":"Guoliang Yuan","orcid":"https://orcid.org/0000-0003-4287-7081"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Yuan","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406440","display_name":"Yafei Wang","orcid":"https://orcid.org/0000-0002-8005-1718"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafei Wang","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044612036","display_name":"Yuxiao Yan","orcid":"https://orcid.org/0000-0003-3811-8533"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiao Yan","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071773953","display_name":"Tianyi Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Shen","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435187","display_name":"Weitao Wang","orcid":"https://orcid.org/0009-0006-3425-7172"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitao Wang","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103172520","display_name":"Zetian Mi","orcid":"https://orcid.org/0000-0001-6080-4295"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zetian Mi","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061942743","display_name":"Xianping Fu","orcid":"https://orcid.org/0000-0001-9888-9327"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianping Fu","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.1912,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3101032,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9786999821662903,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9779999852180481,"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-science","display_name":"Computer science","score":0.7552107572555542},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7448622584342957},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6271313428878784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5829327702522278},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5484288334846497},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5354779958724976},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.47790154814720154},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46503183245658875},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4496611952781677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3423426151275635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7552107572555542},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7448622584342957},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6271313428878784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5829327702522278},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5484288334846497},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5354779958724976},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.47790154814720154},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46503183245658875},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4496611952781677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3423426151275635},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2019.8679264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","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":11,"referenced_works":["https://openalex.org/W1548802052","https://openalex.org/W1963841851","https://openalex.org/W2019177772","https://openalex.org/W2067907977","https://openalex.org/W2101956459","https://openalex.org/W2123649031","https://openalex.org/W2293060818","https://openalex.org/W2586457790","https://openalex.org/W2597976224","https://openalex.org/W2964344294","https://openalex.org/W4241874243"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W2189613078","https://openalex.org/W2923661510","https://openalex.org/W1574055964","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"The":[0,184],"high-dimensional":[1],"multi-source":[2,64,128],"driving":[3,26,32,55,139,186,195],"behavior":[4,27,33,42,56,187],"data":[5,16,65,74,82,105,113],"is":[6,18,67,131,146,156],"too":[7],"difficult":[8],"for":[9],"people":[10,191],"to":[11,23,123,133,148],"understand.":[12],"And":[13],"the":[14,25,30,38,46,70,142,149,160,163,171],"low-dimensional":[15],"visualization":[17,34,60],"a":[19,54,175],"more":[20],"intuitive":[21],"way":[22],"represent":[24],"data.":[28,166],"However,":[29],"previous":[31],"methods":[35],"only":[36],"evaluate":[37],"passive":[39],"vehicle's":[40],"ego":[41],"data,":[43,129],"and":[44,59,78,80,86,95,108],"omitted":[45],"active":[47],"driver's":[48,71],"attention.":[49],"To":[50],"solve":[51],"this":[52],"problem,":[53],"feature":[57,145],"extraction":[58],"method":[61,173],"based":[62],"on":[63],"fusion":[66],"proposed.":[68],"Firstly,":[69],"head":[72],"pose":[73],"(including":[75,83],"yaw,":[76],"pitch":[77],"roll)":[79],"vehicle":[81,96],"speed,":[84],"acceleration":[85],"engine":[87],"speed":[88],"data)":[89],"are":[90,106,114],"collected":[91],"through":[92],"in-car":[93],"cameras":[94],"OBD":[97],"(On":[98],"Board":[99],"Diagnostics)":[100],"interface,":[101],"respectively.":[102],"All":[103],"these":[104,127],"normalized":[107],"from":[109],"which":[110],"time":[111],"series":[112],"extracted":[115],"by":[116,158],"sliding":[117],"windows":[118],"method.":[119],"Then,":[120],"in":[121,162],"order":[122],"take":[124],"advantage":[125],"of":[126,138],"FastICA":[130],"used":[132],"extract":[134],"3D":[135,143],"hidden":[136,144],"features":[137],"behavior.":[140,196],"Finally,":[141],"mapped":[147],"RGB":[150],"color":[151],"space.":[152],"A":[153],"colored":[154,185],"trajectory":[155,188],"produced":[157],"placing":[159],"colors":[161],"corresponding":[164],"GPS":[165],"Experimental":[167],"results":[168],"demonstrate":[169],"that":[170],"proposed":[172],"has":[174],"higher":[176],"average":[177],"F-measure":[178],"value":[179],"than":[180],"other":[181],"baseline":[182],"methods.":[183],"can":[189],"help":[190],"better":[192],"distinguish":[193],"different":[194]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
