{"id":"https://openalex.org/W4212847381","doi":"https://doi.org/10.1109/tits.2022.3147982","title":"Finding and Indexing Vehicle Maneuvers From Dashboard Camera Video","display_name":"Finding and Indexing Vehicle Maneuvers From Dashboard Camera Video","publication_year":2022,"publication_date":"2022-02-15","ids":{"openalex":"https://openalex.org/W4212847381","doi":"https://doi.org/10.1109/tits.2022.3147982"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3147982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3147982","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/A5059321985","display_name":"Stephen A. Zekany","orcid":"https://orcid.org/0000-0003-1914-9318"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Stephen A. Zekany","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029981048","display_name":"Thomas Larsen","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas F. Larsen","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014250626","display_name":"Ronald Dreslinski","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronald G. Dreslinski","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018949021","display_name":"Thomas F. Wenisch","orcid":"https://orcid.org/0000-0001-9560-2124"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas F. Wenisch","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059321985"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.4648,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58473137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"23","issue":"9","first_page":"16098","last_page":"16109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7212949991226196},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6758636236190796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6559457778930664},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5712231397628784},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.5688315033912659},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.508590579032898},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.4825829565525055},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.4784652888774872},{"id":"https://openalex.org/keywords/visual-odometry","display_name":"Visual odometry","score":0.4637262225151062},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.43136030435562134},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.41014406085014343},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1931000053882599},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.18869876861572266}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7212949991226196},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6758636236190796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6559457778930664},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5712231397628784},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.5688315033912659},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.508590579032898},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.4825829565525055},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4784652888774872},{"id":"https://openalex.org/C5799516","wikidata":"https://www.wikidata.org/wiki/Q4110915","display_name":"Visual odometry","level":3,"score":0.4637262225151062},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.43136030435562134},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.41014406085014343},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1931000053882599},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.18869876861572266},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3147982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3147982","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":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W78534123","https://openalex.org/W1612997784","https://openalex.org/W1903029394","https://openalex.org/W1995376165","https://openalex.org/W2018690964","https://openalex.org/W2055556996","https://openalex.org/W2101234009","https://openalex.org/W2123845384","https://openalex.org/W2129367100","https://openalex.org/W2144994235","https://openalex.org/W2150066425","https://openalex.org/W2165253089","https://openalex.org/W2535547924","https://openalex.org/W2577692329","https://openalex.org/W2605751614","https://openalex.org/W2745090846","https://openalex.org/W2803764703","https://openalex.org/W2847226470","https://openalex.org/W2904141777","https://openalex.org/W2905173465","https://openalex.org/W2905552256","https://openalex.org/W2963150697","https://openalex.org/W2964199920","https://openalex.org/W2990114114","https://openalex.org/W3005704918","https://openalex.org/W3016101116","https://openalex.org/W3102327032","https://openalex.org/W3103442520","https://openalex.org/W4243425824","https://openalex.org/W4297812480","https://openalex.org/W6675354045","https://openalex.org/W6740417705","https://openalex.org/W6756774061","https://openalex.org/W6776110894"],"related_works":["https://openalex.org/W2347413598","https://openalex.org/W2979950214","https://openalex.org/W87609089","https://openalex.org/W3024737167","https://openalex.org/W71572444","https://openalex.org/W2414561716","https://openalex.org/W1997383766","https://openalex.org/W3161199934","https://openalex.org/W2154472250","https://openalex.org/W2303855011"],"abstract_inverted_index":{"A":[0,14],"key":[1],"challenge":[2],"for":[3,44,123,152,156],"self-driving":[4],"vehicle":[5,12,37,46],"researchers":[6],"is":[7,21,117],"to":[8,22,62,75,96,114,119,133],"curate":[9],"massive":[10],"instrumented":[11],"datasets.":[13],"common":[15,141],"task":[16],"in":[17,159],"their":[18],"development":[19],"workflow":[20],"extract":[23],"video":[24,52],"segments":[25],"that":[26,108],"meet":[27],"particular":[28,33],"criteria,":[29],"such":[30,99],"as":[31,100],"a":[32,41,55,130],"road":[34,142],"scenario":[35],"or":[36],"maneuver.":[38],"We":[39,67,79,90,106,126,144],"present":[40],"novel":[42],"approach":[43,132,139],"detecting":[45],"maneuvers":[47,85,98,135,158],"from":[48],"monocular":[49],"dashboard":[50],"camera":[51],"building":[53],"upon":[54],"deep":[56,110],"learning":[57,111],"visual":[58,112],"odometry":[59,113],"model":[60],"(DeepV2D)":[61],"estimate":[63,115],"frame-accurate":[64],"ego-vehicle":[65],"movement.":[66],"leverage":[68],"image":[69],"classification":[70],"and":[71,93,104,128,136,154],"lane":[72,102],"line":[73],"estimation":[74],"extend":[76],"our":[77,138,160],"technique.":[78],"classify":[80,134],"movement":[81],"sequences":[82],"against":[83],"reference":[84],"using":[86,109],"dynamic":[87],"time":[88],"warping.":[89],"describe,":[91],"implement,":[92],"evaluate":[94,137],"classifiers":[95],"recognize":[97],"turns,":[101],"changes,":[103],"deceleration.":[105],"show":[107],"location":[116],"superior":[118],"consumer-grade":[120],"high-resolution":[121],"GPS":[122],"this":[124],"application.":[125],"describe":[127],"implement":[129],"greedy":[131],"on":[140],"maneuvers.":[143],"find":[145],"an":[146],"overall":[147],"AUROC":[148],"value":[149],"of":[150],"0.91":[151],"turns":[153],"0.84":[155],"all":[157],"dataset.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}