{"id":"https://openalex.org/W4383097662","doi":"https://doi.org/10.1109/icra48891.2023.10161281","title":"METEOR: A Dense, Heterogeneous, and Unstructured Traffic Dataset with Rare Behaviors","display_name":"METEOR: A Dense, Heterogeneous, and Unstructured Traffic Dataset with Rare Behaviors","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4383097662","doi":"https://doi.org/10.1109/icra48891.2023.10161281"},"language":"en","primary_location":{"id":"doi:10.1109/icra48891.2023.10161281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10161281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","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/A5016704715","display_name":"Rohan Chandra","orcid":"https://orcid.org/0000-0003-4843-6375"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rohan Chandra","raw_affiliation_strings":["University of Maryland,Department of Computer Science,College Park,USA","Department of Computer Science, University of Maryland, College Park, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland,Department of Computer Science,College Park,USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053465205","display_name":"Xijun Wang","orcid":"https://orcid.org/0000-0001-9155-7653"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xijun Wang","raw_affiliation_strings":["University of Maryland,Department of Computer Science,College Park,USA","Department of Computer Science, University of Maryland, College Park, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland,Department of Computer Science,College Park,USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058693416","display_name":"Mridul Mahajan","orcid":null},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mridul Mahajan","raw_affiliation_strings":["Indian Institute of Information Technology,Centre for Intelligent Robotics,Allahabad,India","Centre for Intelligent Robotics, Indian Institute of Information Technology, Allahabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology,Centre for Intelligent Robotics,Allahabad,India","institution_ids":["https://openalex.org/I26072440"]},{"raw_affiliation_string":"Centre for Intelligent Robotics, Indian Institute of Information Technology, Allahabad, India","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021978209","display_name":"Rahul Kala","orcid":"https://orcid.org/0000-0003-0421-5028"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Kala","raw_affiliation_strings":["Indian Institute of Information Technology,Centre for Intelligent Robotics,Allahabad,India","Centre for Intelligent Robotics, Indian Institute of Information Technology, Allahabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology,Centre for Intelligent Robotics,Allahabad,India","institution_ids":["https://openalex.org/I26072440"]},{"raw_affiliation_string":"Centre for Intelligent Robotics, Indian Institute of Information Technology, Allahabad, India","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019441364","display_name":"Rishitha Palugulla","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rishitha Palugulla","raw_affiliation_strings":["NavAjna Technologies Pvt. Ltd"],"affiliations":[{"raw_affiliation_string":"NavAjna Technologies Pvt. Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017697929","display_name":"Chandrababu Naidu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chandrababu Naidu","raw_affiliation_strings":["NavAjna Technologies Pvt. Ltd"],"affiliations":[{"raw_affiliation_string":"NavAjna Technologies Pvt. Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081051194","display_name":"Alok Jain","orcid":"https://orcid.org/0000-0002-7365-7455"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alok Jain","raw_affiliation_strings":["NavAjna Technologies Pvt. Ltd"],"affiliations":[{"raw_affiliation_string":"NavAjna Technologies Pvt. Ltd","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004194238","display_name":"Dinesh Manocha","orcid":"https://orcid.org/0000-0001-7047-9801"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinesh Manocha","raw_affiliation_strings":["University of Maryland,Department of Computer Science,College Park,USA","Department of Electrical and Computer Engineering, University of Maryland, College Park, USA","Department of Computer Science, University of Maryland, College Park, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland,Department of Computer Science,College Park,USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5016704715"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":2.1104,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86751025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"9169","last_page":"9175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9993000030517578,"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/meteor","display_name":"Meteor (satellite)","score":0.8625592589378357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7258638739585876},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6957346796989441},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6150280237197876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34153467416763306},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32275527715682983},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.18386992812156677},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17000049352645874},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09416759014129639}],"concepts":[{"id":"https://openalex.org/C2778105581","wikidata":"https://www.wikidata.org/wiki/Q1925316","display_name":"Meteor (satellite)","level":2,"score":0.8625592589378357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258638739585876},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6957346796989441},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6150280237197876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34153467416763306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32275527715682983},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.18386992812156677},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17000049352645874},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09416759014129639}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48891.2023.10161281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10161281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1982077462","https://openalex.org/W2150066425","https://openalex.org/W2223844752","https://openalex.org/W2340897893","https://openalex.org/W2901870313","https://openalex.org/W2905385096","https://openalex.org/W2933013660","https://openalex.org/W2955189650","https://openalex.org/W2955243910","https://openalex.org/W2963195425","https://openalex.org/W2963945905","https://openalex.org/W2979565629","https://openalex.org/W2980087597","https://openalex.org/W3016101116","https://openalex.org/W3028769608","https://openalex.org/W3030520226","https://openalex.org/W3035574168","https://openalex.org/W3037376004","https://openalex.org/W3043995050","https://openalex.org/W3062588417","https://openalex.org/W3092462694","https://openalex.org/W3109791956","https://openalex.org/W3130897078","https://openalex.org/W3138516171","https://openalex.org/W3156216502","https://openalex.org/W3173407577","https://openalex.org/W4287601744","https://openalex.org/W4288325606","https://openalex.org/W4293584584","https://openalex.org/W6639102338","https://openalex.org/W6688890338","https://openalex.org/W6750227808","https://openalex.org/W6760424586","https://openalex.org/W6760610560","https://openalex.org/W6760782946","https://openalex.org/W6764322716","https://openalex.org/W6768870957","https://openalex.org/W6769043036","https://openalex.org/W6778485988","https://openalex.org/W6781514780","https://openalex.org/W6782468546","https://openalex.org/W6784094891","https://openalex.org/W6785278667"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"We":[0,98],"present":[1],"a":[2,54,81,141],"new":[3],"traffic":[4,9,50,67,96],"dataset,":[5],"Meteor,":[6],"which":[7,125],"captures":[8],"patterns":[10],"and":[11,34,42,58,71,95,108,122,152],"multi-agent":[12,60,109],"driving":[13,61],"behaviors":[14,62],"in":[15,76],"unstructured":[16,153],"scenarios.":[17,73,154],"Meteor":[18,52,77,100,137,139],"consists":[19],"of":[20,84,90],"more":[21,43,145],"than":[22,44],"1000":[23],"one-minute":[24],"videos,":[25],"over":[26],"2":[27],"million":[28,46],"annotated":[29],"frames":[30],"with":[31],"bounding":[32,47],"boxes":[33,48],"GPS":[35],"trajectories":[36],"for":[37,49,56,105,119,149],"16":[38],"unique":[39],"agent":[40],"categories,":[41],"13":[45],"agents.":[51],"is":[53,78,115,140],"dataset":[55],"rare":[57],"interesting,":[59],"that":[63,116],"are":[64],"grouped":[65],"into":[66],"violations,":[68],"atypical":[69],"interactions,":[70],"diverse":[72,82],"Every":[74],"video":[75],"tagged":[79],"using":[80],"range":[83],"factors":[85],"corresponding":[86],"to":[87,101],"weather,":[88],"time":[89],"the":[91,136],"day,":[92],"road":[93],"conditions,":[94],"density.":[97],"use":[99],"benchmark":[102],"perception":[103,147],"methods":[104],"object":[106,120],"detection":[107,121],"behavior":[110,123],"prediction.":[111],"Our":[112],"key":[113],"finding":[114],"state-of-the-art":[117],"models":[118,148],"prediction,":[124],"otherwise":[126],"succeed":[127],"on":[128,135],"existing":[129],"datasets":[130],"such":[131],"as":[132],"Waymo,":[133],"fail":[134],"dataset.":[138],"step":[142],"towards":[143],"developing":[144],"sophisticated":[146],"dense,":[150],"heterogeneous,":[151]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}