{"id":"https://openalex.org/W2083863819","doi":"https://doi.org/10.1109/ivs.2013.6629603","title":"Driver classification and driving style recognition using inertial sensors","display_name":"Driver classification and driving style recognition using inertial sensors","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2083863819","doi":"https://doi.org/10.1109/ivs.2013.6629603","mag":"2083863819"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2013.6629603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","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/A5103534795","display_name":"Minh Van Ly","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minh Van Ly","raw_affiliation_strings":["Lab. of Intell. & Safe Automobiles, UCSD, La Jolla, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. of Intell. & Safe Automobiles, UCSD, La Jolla, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039454824","display_name":"Sujitha Martin","orcid":"https://orcid.org/0000-0002-2226-2250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sujitha Martin","raw_affiliation_strings":["Lab. of Intell. & Safe Automobiles, UCSD, La Jolla, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. of Intell. & Safe Automobiles, UCSD, La Jolla, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068831718","display_name":"Mohan M. Trivedi","orcid":"https://orcid.org/0000-0002-0937-6771"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohan M. Trivedi","raw_affiliation_strings":["Lab. of Intell. & Safe Automobiles, UCSD, La Jolla, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. of Intell. & Safe Automobiles, UCSD, La Jolla, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.0165,"has_fulltext":false,"cited_by_count":307,"citation_normalized_percentile":{"value":0.9978964,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1040","last_page":"1045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9891999959945679,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9883999824523926,"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/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7204099297523499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7032120227813721},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6901772618293762},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.6158631443977356},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5298091173171997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49965357780456543},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4238636791706085},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3415801525115967}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7204099297523499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7032120227813721},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6901772618293762},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.6158631443977356},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5298091173171997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49965357780456543},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4238636791706085},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3415801525115967},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivs.2013.6629603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.649.4685","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.4685","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/2013/LarrySujithaTrivedi_IV13.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7200000286102295}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332603","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1979642245","https://openalex.org/W1999873341","https://openalex.org/W2018690964","https://openalex.org/W2092532377","https://openalex.org/W2097456688","https://openalex.org/W2101636984","https://openalex.org/W2115973169","https://openalex.org/W2122112408","https://openalex.org/W2128454760","https://openalex.org/W2133816434","https://openalex.org/W2139851562","https://openalex.org/W2151226872","https://openalex.org/W2151373013","https://openalex.org/W2153635508","https://openalex.org/W2158497138","https://openalex.org/W2165409282"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W4384517610","https://openalex.org/W1973973903","https://openalex.org/W2992410632","https://openalex.org/W4288389100","https://openalex.org/W2768717251","https://openalex.org/W2025756212","https://openalex.org/W1902800522","https://openalex.org/W2339469482","https://openalex.org/W2382856674"],"abstract_inverted_index":{"Currently":[0],"there":[1],"are":[2,81],"many":[3],"research":[4,42],"focused":[5],"on":[6],"using":[7,48,117],"smartphone":[8],"as":[9],"a":[10,22,59],"data":[11,98],"collection":[12],"device.":[13],"Many":[14],"have":[15],"shown":[16],"its":[17],"sensors":[18,28,52],"ability":[19],"to":[20,32,57,64,69,88,122],"replace":[21],"lab":[23],"test":[24],"bed.":[25],"These":[26],"inertial":[27,51],"can":[29],"be":[30],"used":[31],"segment":[33],"and":[34,78,106],"classify":[35],"driving":[36],"events":[37,80,108,124],"fairly":[38],"accurately.":[39],"In":[40],"this":[41],"we":[43],"explore":[44],"the":[45,49,54,62,71,92,96],"possibility":[46],"of":[47,61,73,95],"vehicle's":[50],"from":[53],"CAN":[55],"bus":[56],"build":[58],"profile":[60],"driver":[63],"ultimately":[65],"provide":[66],"proper":[67],"feedback":[68],"reduce":[70],"number":[72],"dangerous":[74],"car":[75],"maneuver.":[76],"Braking":[77],"turning":[79,105],"better":[82,110],"at":[83],"characterizing":[84],"an":[85],"individual":[86],"compared":[87,121],"acceleration":[89],"events.":[90],"Histogramming":[91],"time-series":[93],"values":[94],"sensor":[97],"does":[99],"not":[100],"help":[101],"performance.":[102,129],"Furthermore,":[103],"combining":[104],"braking":[107],"helps":[109],"differentiate":[111],"between":[112],"two":[113],"similar":[114],"drivers":[115],"when":[116],"supervised":[118],"learning":[119],"techniques":[120],"separate":[123],"alone,":[125],"albeit":[126],"with":[127],"anemic":[128]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":41},{"year":2020,"cited_by_count":43},{"year":2019,"cited_by_count":38},{"year":2018,"cited_by_count":43},{"year":2017,"cited_by_count":26},{"year":2016,"cited_by_count":21},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":5}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}