{"id":"https://openalex.org/W3090562288","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206716","title":"A Large-scale Simulation Dataset: Boost the Detection Accuracy for Special Weather Conditions","display_name":"A Large-scale Simulation Dataset: Boost the Detection Accuracy for Special Weather Conditions","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090562288","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206716","mag":"3090562288"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5101979289","display_name":"Dongfang Liu","orcid":"https://orcid.org/0000-0001-6995-4775"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongfang Liu","raw_affiliation_strings":["Department of Computer Graphics Technology, Purdue University, West Lafayette, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Graphics Technology, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103027806","display_name":"Yiming Cui","orcid":"https://orcid.org/0000-0003-2423-8972"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiming Cui","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015178659","display_name":"Zhiwen Cao","orcid":"https://orcid.org/0009-0006-5629-2753"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiwen Cao","raw_affiliation_strings":["Department of Computer Graphics Technology, Purdue University, West Lafayette, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Graphics Technology, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409186","display_name":"Yingjie Chen","orcid":"https://orcid.org/0000-0001-6705-3535"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingjie Chen","raw_affiliation_strings":["Department of Computer Graphics Technology, Purdue University, West Lafayette, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Graphics Technology, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8599,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88101936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8360903263092041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8300381302833557},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6694990396499634},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6296987533569336},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5502746105194092},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5378367900848389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5029734969139099},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.49381813406944275},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47760388255119324},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4483540952205658},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44595766067504883},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4311884045600891},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39516541361808777},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.2044200599193573}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8360903263092041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8300381302833557},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6694990396499634},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6296987533569336},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5502746105194092},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5378367900848389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5029734969139099},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.49381813406944275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47760388255119324},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4483540952205658},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44595766067504883},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4311884045600891},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39516541361808777},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2044200599193573},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.41999998688697815,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1591870335","https://openalex.org/W1861492603","https://openalex.org/W1945811542","https://openalex.org/W2008969013","https://openalex.org/W2037227137","https://openalex.org/W2067107771","https://openalex.org/W2115579991","https://openalex.org/W2117539524","https://openalex.org/W2125215748","https://openalex.org/W2144409879","https://openalex.org/W2150066425","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2171943915","https://openalex.org/W2230170002","https://openalex.org/W2340897893","https://openalex.org/W2342840547","https://openalex.org/W2431874326","https://openalex.org/W2438962998","https://openalex.org/W2487365028","https://openalex.org/W2520707372","https://openalex.org/W2547698034","https://openalex.org/W2548334933","https://openalex.org/W2557728737","https://openalex.org/W2559767995","https://openalex.org/W2796347433","https://openalex.org/W2799352588","https://openalex.org/W2919115771","https://openalex.org/W2921019021","https://openalex.org/W2935002477","https://openalex.org/W2950800384","https://openalex.org/W2963730616","https://openalex.org/W2963826402","https://openalex.org/W2970243568","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6631782140","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6704559304","https://openalex.org/W6714138976","https://openalex.org/W6718471829","https://openalex.org/W6722836162","https://openalex.org/W6750227808","https://openalex.org/W6750749703","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138","https://openalex.org/W2743976221"],"abstract_inverted_index":{"Object":[0],"detection":[1,13],"is":[2,15,77],"a":[3,16,26,53,71,84],"fundamental":[4],"task":[5],"for":[6],"autonomous":[7,37],"driving":[8,38],"systems.":[9],"One":[10],"bottleneck":[11],"hindering":[12],"accuracy":[14],"shortage":[17],"of":[18,56,146,157],"well-annotated":[19],"image":[20],"data.":[21],"Virtual":[22],"reality":[23],"has":[24],"provided":[25],"feasible":[27],"low-cost":[28],"way":[29],"to":[30,99,102,113,150],"facilitate":[31],"computer":[32],"vision":[33],"related":[34],"developments.":[35],"In":[36],"area,":[39],"existing":[40],"public":[41,121,139],"datasets":[42],"from":[43,83],"real":[44],"world":[45],"generally":[46],"have":[47],"data":[48,149],"biases":[49],"and":[50],"cannot":[51],"represent":[52],"wide":[54],"range":[55],"weather":[57,93],"conditions,":[58,94],"such":[59,107],"as":[60],"rainy":[61],"or":[62],"snowy":[63],"roads.":[64],"To":[65],"address":[66,151],"this":[67],"challenge,":[68],"we":[69],"introduce":[70],"new":[72],"large-scale":[73],"simulation":[74,148],"dataset":[75,90,116,132],"which":[76,95],"generated":[78],"by":[79,117,137],"an":[80],"automated":[81],"pipeline":[82],"high":[85],"realism":[86],"video":[87],"game.":[88],"Our":[89,141],"focuses":[91],"on":[92],"can":[96],"be":[97],"adopted":[98],"train":[100],"networks":[101,128,135],"effectively":[103],"detect":[104],"objects":[105],"under":[106],"conditions.":[108],"We":[109],"use":[110],"extensive":[111],"experiments":[112],"evaluate":[114],"our":[115,131],"comparing":[118],"it":[119],"with":[120,130],"datasets.":[122,140],"The":[123],"experiment":[124],"results":[125],"show":[126],"that":[127],"trained":[129,136],"outperform":[133],"the":[134,144,155],"other":[138],"work":[142],"demonstrates":[143],"effectiveness":[145],"using":[147],"real-world":[152],"challenges":[153],"in":[154],"practice":[156],"object":[158],"detection.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}