{"id":"https://openalex.org/W3161421216","doi":"https://doi.org/10.1109/icpr48806.2021.9413181","title":"CARRADA Dataset: Camera and Automotive Radar with Range- Angle- Doppler Annotations","display_name":"CARRADA Dataset: Camera and Automotive Radar with Range- Angle- Doppler Annotations","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3161421216","doi":"https://doi.org/10.1109/icpr48806.2021.9413181","mag":"3161421216"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5068077721","display_name":"Arthur Ouaknine","orcid":"https://orcid.org/0000-0003-1090-6204"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arthur Ouaknine","raw_affiliation_strings":["valeo.ai, Paris, France","IMAGES - Image, Mod\u00e9lisation, Analyse, GEom\u00e9trie, Synth\u00e8se (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","Valeo.ai (Paris - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"valeo.ai, Paris, France","institution_ids":["https://openalex.org/I220619192"]},{"raw_affiliation_string":"IMAGES - Image, Mod\u00e9lisation, Analyse, GEom\u00e9trie, Synth\u00e8se (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"Valeo.ai (Paris - France)","institution_ids":["https://openalex.org/I220619192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047314512","display_name":"Alasdair Newson","orcid":"https://orcid.org/0000-0003-4247-0249"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alasdair Newson","raw_affiliation_strings":["LTCI, T\u00e9l\u00e9com Paris Institut Poly technique de Paris, Palaiseau, France","IMAGES - Image, Mod\u00e9lisation, Analyse, GEom\u00e9trie, Synth\u00e8se (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com Paris Institut Poly technique de Paris, Palaiseau, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"IMAGES - Image, Mod\u00e9lisation, Analyse, GEom\u00e9trie, Synth\u00e8se (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I12356871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066813996","display_name":"Julien Rebut","orcid":null},"institutions":[{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Rebut","raw_affiliation_strings":["valeo.ai, Paris, France","Valeo.ai (Paris - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"valeo.ai, Paris, France","institution_ids":["https://openalex.org/I220619192"]},{"raw_affiliation_string":"Valeo.ai (Paris - France)","institution_ids":["https://openalex.org/I220619192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077852561","display_name":"Florence Tupin","orcid":"https://orcid.org/0000-0002-3110-8183"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Florence Tupin","raw_affiliation_strings":["LTCI, T\u00e9l\u00e9com Paris Institut Poly technique de Paris, Palaiseau, France","IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)","IMAGES - Image, Mod\u00e9lisation, Analyse, GEom\u00e9trie, Synth\u00e8se (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","IP Paris - Institut Polytechnique de Paris (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com Paris Institut Poly technique de Paris, Palaiseau, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)","institution_ids":[]},{"raw_affiliation_string":"IMAGES - Image, Mod\u00e9lisation, Analyse, GEom\u00e9trie, Synth\u00e8se (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"IP Paris - Institut Polytechnique de Paris (France)","institution_ids":["https://openalex.org/I4210145102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076170578","display_name":"Patrick P\u00e9rez","orcid":"https://orcid.org/0000-0002-8124-1206"},"institutions":[{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrick Perez","raw_affiliation_strings":["valeo.ai, Paris, France","Valeo.ai (Paris - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"valeo.ai, Paris, France","institution_ids":["https://openalex.org/I220619192"]},{"raw_affiliation_string":"Valeo.ai (Paris - France)","institution_ids":["https://openalex.org/I220619192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":149,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5068","last_page":"5075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7606987953186035},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7047020196914673},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.6641360521316528},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6635743975639343},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.663109302520752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5538668036460876},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5276069641113281},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.5235207080841064},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5154462456703186},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46989724040031433},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44443997740745544},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.42456483840942383},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33586758375167847},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3206482529640198},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13801690936088562},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11713263392448425},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11156347393989563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7606987953186035},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7047020196914673},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.6641360521316528},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6635743975639343},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.663109302520752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5538668036460876},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5276069641113281},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.5235207080841064},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5154462456703186},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46989724040031433},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44443997740745544},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.42456483840942383},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33586758375167847},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3206482529640198},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13801690936088562},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11713263392448425},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11156347393989563},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03324378v1","is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-03324378","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR), Jan 2021, Milan (virtual), Italy. ⟨10.1109/icpr48806.2021.9413181⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1547769173","https://openalex.org/W1599510591","https://openalex.org/W1903029394","https://openalex.org/W1965555277","https://openalex.org/W2067191022","https://openalex.org/W2115579991","https://openalex.org/W2132481658","https://openalex.org/W2140515654","https://openalex.org/W2242223225","https://openalex.org/W2252355370","https://openalex.org/W2340897893","https://openalex.org/W2531174837","https://openalex.org/W2536305597","https://openalex.org/W2765552602","https://openalex.org/W2783794174","https://openalex.org/W2783919917","https://openalex.org/W2789648429","https://openalex.org/W2799352588","https://openalex.org/W2888856289","https://openalex.org/W2892614179","https://openalex.org/W2897876743","https://openalex.org/W2939103125","https://openalex.org/W2940863872","https://openalex.org/W2943515156","https://openalex.org/W2946020594","https://openalex.org/W2959142385","https://openalex.org/W2963150697","https://openalex.org/W2964121744","https://openalex.org/W2968443604","https://openalex.org/W2974922121","https://openalex.org/W2990844533","https://openalex.org/W2995042771","https://openalex.org/W2996476754","https://openalex.org/W2997719963","https://openalex.org/W3016223102","https://openalex.org/W3035172746","https://openalex.org/W3035574168","https://openalex.org/W3090139470","https://openalex.org/W3098452673","https://openalex.org/W3103179390","https://openalex.org/W3104218139","https://openalex.org/W3105448982","https://openalex.org/W3116028392","https://openalex.org/W3123351243","https://openalex.org/W6631190155","https://openalex.org/W6632840761","https://openalex.org/W6750749703","https://openalex.org/W6771922894","https://openalex.org/W6771941581","https://openalex.org/W6776013046","https://openalex.org/W7058346985"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4281783339","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W2043430068"],"abstract_inverted_index":{"High":[0],"quality":[1],"perception":[2],"is":[3,93],"essential":[4],"for":[5,64],"autonomous":[6],"driving":[7],"(AD)":[8],"systems.":[9],"To":[10,88],"reach":[11],"the":[12,42,45,57,75,96,141],"accuracy":[13],"and":[14,31,80,110,123,143,158],"robustness":[15],"thatare":[16],"required":[17],"by":[18],"such":[19],"systems,":[20],"several":[21,153],"types":[22],"of":[23,41,78,99,120],"sensors":[24,49],"must":[25],"be":[26],"combined.":[27],"Currently,":[28],"mostly":[29],"cameras":[30],"laser":[32],"scanners":[33],"(lidar)":[34],"are":[35,61,107,160],"deployed":[36],"to":[37,73,81,95,139],"build":[38],"a":[39,118,132,144],"representation":[40],"world":[43],"around":[44],"vehicle.":[46],"While":[47],"radar":[48,104,124,145],"have":[50],"been":[51],"used":[52,138],"fora":[53],"long":[54],"time":[55],"in":[56,84],"automotive":[58,100],"industry,":[59],"they":[60],"still":[62],"under-used":[63],"AD":[65],"despite":[66],"their":[67,71],"appealing":[68],"characteristics":[69],"(notably,":[70],"ability":[72],"measure":[74],"relative":[76,97],"speed":[77],"obstacles":[79],"operate":[82],"even":[83],"adverse":[85],"weather":[86],"conditions).":[87],"alarge":[89],"extent,":[90],"this":[91,113],"situation":[92],"due":[94],"lack":[98],"datasets":[101],"with":[102,126],"real":[103],"signals":[105],"that":[106],"both":[108],"raw":[109],"annotated.":[111],"In":[112],"work,":[114],"we":[115,150],"introduce":[116],"CARRADA,":[117],"dataset":[119,159],"synchronized":[121],"camera":[122],"recordings":[125],"range-angle-Doppler":[127],"annotations.":[128],"We":[129],"also":[130],"present":[131],"semi-automatic":[133],"annotation":[134],"approach,":[135],"which":[136,149],"was":[137],"annotate":[140],"dataset,":[142],"semantic":[146],"segmentation":[147],"baseline,":[148],"evaluate":[151],"on":[152],"metrics.":[154],"Both":[155],"our":[156],"code":[157],"available":[161],"online.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":13}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}