{"id":"https://openalex.org/W3120426221","doi":"https://doi.org/10.1109/iv47402.2020.9304677","title":"MIT-AVT Clustered Driving Scene Dataset: Evaluating Perception Systems in Real-World Naturalistic Driving Scenarios","display_name":"MIT-AVT Clustered Driving Scene Dataset: Evaluating Perception Systems in Real-World Naturalistic Driving Scenarios","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3120426221","doi":"https://doi.org/10.1109/iv47402.2020.9304677","mag":"3120426221"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5074556234","display_name":"Li Ding","orcid":"https://orcid.org/0000-0002-1315-1196"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Ding","raw_affiliation_strings":["Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083814657","display_name":"Michael Glazer","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Glazer","raw_affiliation_strings":["Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054532975","display_name":"Bruce Mehler","orcid":"https://orcid.org/0000-0001-5929-4179"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruce Mehler","raw_affiliation_strings":["Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033143153","display_name":"Bryan Reimer","orcid":"https://orcid.org/0000-0003-4850-8738"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bryan Reimer","raw_affiliation_strings":["Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109009001","display_name":"Lex Fridman","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lex Fridman","raw_affiliation_strings":["Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Transportation and Logistics, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"232","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9955000281333923,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9933000206947327,"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/perception","display_name":"Perception","score":0.7212658524513245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6529914140701294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37798500061035156},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12107551097869873}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.7212658524513245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6529914140701294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37798500061035156},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12107551097869873},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv47402.2020.9304677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309369","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44"},{"id":"https://openalex.org/F4320310463","display_name":"UCLA Chicano Studies Research Center","ror":"https://ror.org/046rm7j60"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1536680647","https://openalex.org/W1903029394","https://openalex.org/W2019014808","https://openalex.org/W2062118960","https://openalex.org/W2096733369","https://openalex.org/W2108598243","https://openalex.org/W2140190241","https://openalex.org/W2142838865","https://openalex.org/W2144182447","https://openalex.org/W2150066425","https://openalex.org/W2171943915","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2630837129","https://openalex.org/W2796347433","https://openalex.org/W2799352588","https://openalex.org/W2959716684","https://openalex.org/W2963652603","https://openalex.org/W3099206234","https://openalex.org/W4254182148","https://openalex.org/W4293584584","https://openalex.org/W6676297131","https://openalex.org/W6750749703"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Solving":[0],"the":[1,47,51,104],"driving":[2,20,67,124],"scene":[3,53,68,119],"perception":[4],"problem":[5],"for":[6,37,115],"driver-assistance":[7],"systems":[8],"and":[9,14,25,41,73,90],"autonomous":[10],"vehicles":[11],"requires":[12],"accurate":[13],"robust":[15],"performance":[16],"in":[17],"both":[18],"regularly-occurring":[19],"scenarios":[21,28],"(termed":[22,29],"\u201ccommon":[23],"cases\u201d)":[24],"rare":[26],"outlier":[27],"\u201cedge":[30],"cases\u201d).":[31],"We":[32,57,94,109],"propose":[33,111],"an":[34],"automated":[35,113],"method":[36],"clustering":[38],"common":[39,74,88],"cases":[40,44,72],"detecting":[42],"edge":[43,71,92],"based":[45],"on":[46,122],"visual":[48],"characteristics":[49],"of":[50,70,79,87,118,137],"external":[52],"using":[54],"deep":[55],"learning.":[56],"apply":[58],"this":[59],"approach":[60],"to":[61,103,144],"develop":[62],"a":[63],"large-scale":[64,116],"real-world":[65],"video":[66,82],"dataset":[69,77],"cases.":[75,93],"This":[76],"consists":[78],"1,156,592":[80],"10-second":[81],"clips,":[83],"including":[84],"450":[85],"clusters":[86,105,139],"cases,":[89],"5,601":[91],"assign":[95],"human-interpretable":[96],"metadata":[97],"labels":[98],"(e.g.,":[99],"weather,":[100],"lighting":[101],"conditions)":[102],"through":[106],"manual":[107],"annotation.":[108],"further":[110],"two":[112],"methods":[114],"evaluation":[117],"segmentation":[120],"models":[121],"naturalistic":[123],"datasets":[125],"that":[126],"can":[127],"capture":[128],"potential":[129],"system":[130],"failures":[131],"without":[132],"human":[133],"inspection.":[134],"Video":[135],"illustrations":[136],"select":[138],"will":[140],"be":[141],"made":[142],"available":[143],"help":[145],"with":[146],"future":[147],"research.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
