{"id":"https://openalex.org/W1997100885","doi":"https://doi.org/10.1109/tits.2014.2331259","title":"Drive Analysis Using Vehicle Dynamics and Vision-Based Lane Semantics","display_name":"Drive Analysis Using Vehicle Dynamics and Vision-Based Lane Semantics","publication_year":2014,"publication_date":"2014-09-25","ids":{"openalex":"https://openalex.org/W1997100885","doi":"https://doi.org/10.1109/tits.2014.2331259","mag":"1997100885"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2014.2331259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2014.2331259","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/A5059422823","display_name":"Ravi Kumar Satzoda","orcid":"https://orcid.org/0000-0002-7223-1559"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ravi Kumar Satzoda","raw_affiliation_strings":["Lab. for Intell. &amp; Safe Automobiles, Univ. of California San Diego, La Jolla, CA, USA","Lab. for Intell. & Safe Automobiles, Univ. of California, San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Lab. for Intell. &amp; Safe Automobiles, Univ. of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Lab. for Intell. & Safe Automobiles, Univ. of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068831718","display_name":"Mohan M. Trivedi","orcid":"https://orcid.org/0000-0002-0937-6771"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohan Manubhai Trivedi","raw_affiliation_strings":["Lab. for Intell. &amp; Safe Automobiles, Univ. of California San Diego, La Jolla, CA, USA","Lab. for Intell. & Safe Automobiles, Univ. of California, San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Lab. for Intell. &amp; Safe Automobiles, Univ. of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Lab. for Intell. & Safe Automobiles, Univ. of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059422823"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":13.2865,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.98784749,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"16","issue":"1","first_page":"9","last_page":"18"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9940999746322632,"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":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6156465411186218},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.5509709715843201},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5345890522003174},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.4733441174030304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4651997983455658},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4606476128101349},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4428873360157013},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.42133814096450806},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3733013868331909},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3220248520374298},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.16682317852973938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6156465411186218},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.5509709715843201},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5345890522003174},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.4733441174030304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4651997983455658},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4606476128101349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4428873360157013},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.42133814096450806},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3733013868331909},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3220248520374298},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.16682317852973938},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2014.2331259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2014.2331259","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.649.2355","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.2355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cvrr.ucsd.edu/publications/2014/SatzodaTrivedi_IEEETITS2014.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334454","display_name":"Toyota Collaborative Safety Research Center","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W98418874","https://openalex.org/W116278252","https://openalex.org/W145419319","https://openalex.org/W599441947","https://openalex.org/W602419703","https://openalex.org/W1213379166","https://openalex.org/W1963490115","https://openalex.org/W1965455921","https://openalex.org/W1980914869","https://openalex.org/W1983812652","https://openalex.org/W1999845506","https://openalex.org/W2018690964","https://openalex.org/W2023671107","https://openalex.org/W2029544449","https://openalex.org/W2030418992","https://openalex.org/W2058569601","https://openalex.org/W2059303722","https://openalex.org/W2069488305","https://openalex.org/W2073644035","https://openalex.org/W2086106066","https://openalex.org/W2092532377","https://openalex.org/W2131076267","https://openalex.org/W2133362858","https://openalex.org/W2136929315","https://openalex.org/W2139851562","https://openalex.org/W2140581865","https://openalex.org/W2150322733","https://openalex.org/W2170003873","https://openalex.org/W2498384082","https://openalex.org/W4229726281"],"related_works":["https://openalex.org/W4315750480","https://openalex.org/W2890923381","https://openalex.org/W4383748483","https://openalex.org/W3162073984","https://openalex.org/W4205657394","https://openalex.org/W2751650182","https://openalex.org/W2765570534","https://openalex.org/W3003695190","https://openalex.org/W4285265093","https://openalex.org/W4225572747"],"abstract_inverted_index":{"Naturalistic":[0],"driving":[1,24,57],"studies":[2,40],"(NDSs)":[3],"capture":[4],"large":[5],"volumes":[6],"of":[7,34,56,63,71,79,87,103,111,136,167],"drive":[8,89],"data":[9,42,81,90,127],"from":[10,116,128,180],"multiple":[11,129],"sensor":[12,80,118,126],"modalities,":[13],"which":[14,44,51,170],"are":[15,121,156,171,178],"analyzed":[16],"for":[17],"critical":[18],"information":[19,67,115],"about":[20,139],"driver":[21],"behavior":[22],"and":[23,30,59,131,150,189],"characteristics":[25],"that":[26,65,177],"lead":[27],"to":[28,74,123,132],"crashes":[29],"near":[31],"crashes.":[32,75],"One":[33],"the":[35,69,77,88,104,109,125],"key":[36],"steps":[37,106],"in":[38,82],"such":[39,84],"is":[41,45],"reduction,":[43],"defined":[46],"as":[47,101],"a":[48,61,134,190],"process":[49,110],"by":[50,174],"\u201ctrained":[52],"employees\u201d":[53],"review":[54],"segments":[55],"video":[58],"record":[60],"taxonomy":[62],"variables":[64],"provides":[66],"regarding":[68],"sequence":[70],"events":[72],"leading":[73],"Given":[76],"volume":[78],"NDSs,":[83],"manual":[85],"analysis":[86],"can":[91],"be":[92],"time-consuming.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97],"introduce":[98],"\u201cdrive":[99],"analysis\u201d":[100],"one":[102],"first":[105],"toward":[107],"automating":[108],"extracting":[112],"midlevel":[113],"semantic":[114],"raw":[117],"data.":[119],"Techniques":[120],"proposed":[122,154],"analyze":[124],"modalities":[130],"extract":[133],"set":[135],"23":[137],"semantics":[138],"lane":[140],"positions,":[141],"vehicle":[142,146,175],"localization":[143],"within":[144],"lanes,":[145],"speed,":[147],"traffic":[148],"density,":[149],"road":[151],"curvature.":[152],"The":[153],"techniques":[155],"demonstrated":[157],"using":[158],"real-world":[159],"test":[160],"drives":[161],"comprising":[162],"over":[163],"150":[164],"000":[165],"frames":[166],"visual":[168],"data,":[169],"also":[172],"accompanied":[173],"dynamics":[176],"captured":[179],"an":[181,185],"in-vehicle":[182],"controller-area-network":[183],"bus,":[184],"inertial":[186],"motion":[187],"unit,":[188],"Global":[191],"Positioning":[192],"System.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
