{"id":"https://openalex.org/W2795257817","doi":"https://doi.org/10.1109/icce.2018.8326122","title":"Critical areas detection and vehicle speed estimation system towards intersection-related driving behavior analysis","display_name":"Critical areas detection and vehicle speed estimation system towards intersection-related driving behavior analysis","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2795257817","doi":"https://doi.org/10.1109/icce.2018.8326122","mag":"2795257817"},"language":"en","primary_location":{"id":"doi:10.1109/icce.2018.8326122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2018.8326122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Consumer Electronics (ICCE)","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/A5075121594","display_name":"Qianlong Wang","orcid":"https://orcid.org/0000-0002-4238-4909"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Qianlong Wang","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698551","display_name":"Yongjie Liu","orcid":"https://orcid.org/0000-0003-3125-8760"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yongjie Liu","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602456","display_name":"Jingwen Liu","orcid":"https://orcid.org/0000-0002-9825-9760"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jingwen Liu","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070068490","display_name":"Yanlei Gu","orcid":"https://orcid.org/0000-0001-9708-7429"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yanlei Gu","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109244048","display_name":"Shunsuke Kamijo","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunsuke Kamijo","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075121594"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":1.0323,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78642045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"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":0.9998000264167786,"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":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9983999729156494,"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":0.7462285757064819},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6939874291419983},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.6911285519599915},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6340655088424683},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.631363034248352},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6009625196456909},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5841101408004761},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47537246346473694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4409017860889435},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.39343124628067017},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18966689705848694},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.14875441789627075}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462285757064819},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6939874291419983},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.6911285519599915},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6340655088424683},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.631363034248352},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6009625196456909},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5841101408004761},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47537246346473694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4409017860889435},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.39343124628067017},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18966689705848694},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.14875441789627075},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce.2018.8326122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2018.8326122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1025061504","https://openalex.org/W1895577753","https://openalex.org/W1988501624","https://openalex.org/W2018690964","https://openalex.org/W2034411841","https://openalex.org/W2037227137","https://openalex.org/W2064675550","https://openalex.org/W2068730032","https://openalex.org/W2070420170","https://openalex.org/W2143802618","https://openalex.org/W2293634267","https://openalex.org/W2339444104","https://openalex.org/W2570343428","https://openalex.org/W2612445135","https://openalex.org/W2613718673","https://openalex.org/W3106250896","https://openalex.org/W4297775537","https://openalex.org/W6620707391","https://openalex.org/W6626622016"],"related_works":["https://openalex.org/W2356006086","https://openalex.org/W1973973903","https://openalex.org/W2545168295","https://openalex.org/W2365897603","https://openalex.org/W4234814094","https://openalex.org/W2156308897","https://openalex.org/W4303613760","https://openalex.org/W2361871310","https://openalex.org/W2417246878","https://openalex.org/W1982154684"],"abstract_inverted_index":{"A":[0],"large":[1],"number":[2],"of":[3,38,102,107,110,128],"serious":[4],"traffic":[5,51,83,133],"accidents":[6],"occur":[7],"at":[8,32],"intersections":[9],"due":[10],"to":[11,24,49,67],"the":[12,77,108,111,116,126],"unsafe":[13],"driving":[14,29,94],"behaviors.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19],"propose":[20],"a":[21,42,58,99],"smartphone-based":[22],"system":[23,36,130],"provide":[25],"important":[26],"information":[27],"for":[28,93],"behavior":[30,95],"analysis":[31,106],"intersections.":[33],"Our":[34,123],"proposed":[35,112],"consists":[37],"two":[39],"parts:":[40],"(1)":[41],"deep":[43],"convolutional":[44],"neural":[45,63],"network":[46,64],"based":[47,65],"model":[48,66],"detect":[50],"lights,":[52],"crosswalks,":[53],"and":[54,73,85,115],"stop":[55],"lines.":[56],"(2)":[57],"Long":[59],"Short-Term":[60],"Memory":[61],"(LSTM)":[62],"estimate":[68],"vehicle":[69,88],"speed":[70,89],"using":[71],"accelerometer":[72],"gyroscope":[74],"embedded":[75],"in":[76,82,131],"smartphone.":[78],"Important":[79],"objects":[80],"detection":[81],"scenes":[84],"real":[86],"time":[87],"estimation":[90],"are":[91],"crucial":[92],"analysis.":[96],"We":[97],"performed":[98],"thorough":[100],"evaluation":[101],"our":[103,129],"system,":[104],"including":[105],"effectiveness":[109],"algorithm":[113],"itself":[114],"comparison":[117],"with":[118],"other":[119],"methods":[120],"as":[121],"well.":[122],"experiments":[124],"exhibit":[125],"robustness":[127],"various":[132],"scenarios.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
