{"id":"https://openalex.org/W3019048729","doi":"https://doi.org/10.1109/aicas48895.2020.9073907","title":"Uncertainty-based Object Detector for Autonomous Driving Embedded Platforms","display_name":"Uncertainty-based Object Detector for Autonomous Driving Embedded Platforms","publication_year":2020,"publication_date":"2020-04-24","ids":{"openalex":"https://openalex.org/W3019048729","doi":"https://doi.org/10.1109/aicas48895.2020.9073907","mag":"3019048729"},"language":"en","primary_location":{"id":"doi:10.1109/aicas48895.2020.9073907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas48895.2020.9073907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","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/A5045263497","display_name":"Ji-Woong Choi","orcid":"https://orcid.org/0000-0002-0602-9256"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jiwoong Choi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Inter-university Semiconductor Research Center (ISRC), Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inter-university Semiconductor Research Center (ISRC), Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001283508","display_name":"Dayoung Chun","orcid":"https://orcid.org/0009-0004-5741-6004"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dayoung Chun","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Inter-university Semiconductor Research Center (ISRC), Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inter-university Semiconductor Research Center (ISRC), Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024723558","display_name":"Hyuk\u2010Jae Lee","orcid":"https://orcid.org/0000-0001-6811-9647"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuk-Jae Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Inter-university Semiconductor Research Center (ISRC), Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inter-university Semiconductor Research Center (ISRC), Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371185","display_name":"Hyun Kim","orcid":"https://orcid.org/0000-0002-7962-657X"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Kim","raw_affiliation_strings":["Department of Electrical and Information Engineering, Research Center for Electrical and Information Technology, Seoul National University of Science and Technology, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Research Center for Electrical and Information Technology, Seoul National University of Science and Technology, Seoul, Korea","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045263497"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":3.4194,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.93832762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"20"},"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":0.9990000128746033,"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":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7474174499511719},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7020555138587952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6244578957557678},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.611446738243103},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5443562269210815},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5202937722206116},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5043011903762817},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.42951348423957825},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40987828373908997},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2407034933567047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474174499511719},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7020555138587952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6244578957557678},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.611446738243103},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5443562269210815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5202937722206116},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5043011903762817},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.42951348423957825},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40987828373908997},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2407034933567047},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aicas48895.2020.9073907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas48895.2020.9073907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2053869519","https://openalex.org/W2107656445","https://openalex.org/W2150066425","https://openalex.org/W2600383743","https://openalex.org/W2795812085","https://openalex.org/W2796347433","https://openalex.org/W2799352588","https://openalex.org/W2963087201","https://openalex.org/W2964121718","https://openalex.org/W2981958729","https://openalex.org/W4293584584","https://openalex.org/W6735443497","https://openalex.org/W6750227808","https://openalex.org/W6750749703"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2074467390","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W2174745845","https://openalex.org/W2063058012"],"abstract_inverted_index":{"For":[0],"self-driving":[1],"cars":[2],"that":[3],"operate":[4,32],"based":[5],"on":[6,113,139,146],"battery-generated":[7],"power,":[8],"detection":[9,34,41,82,132],"and":[10,39,68,111,119,143],"control":[11],"are":[12],"commonly":[13],"performed":[14],"in":[15,87],"embedded":[16,46,159],"systems":[17],"to":[18,31,53,62,70,90],"reduce":[19],"power":[20],"consumption.":[21],"To":[22],"drive":[23,117],"safely":[24],"without":[25],"driver":[26],"intervention,":[27],"it":[28,86],"is":[29,127],"essential":[30],"object":[33],"algorithms":[35],"with":[36],"high":[37],"accuracy":[38,73],"fast":[40],"speed":[42,83],"within":[43],"autonomous":[44,157],"driving":[45,158],"systems.":[47],"This":[48],"paper":[49],"proposes":[50],"new":[51],"methods":[52],"predict":[54],"the":[55,63,75,91,97,104,114,124,140,147,152,156],"localization":[56],"uncertainty":[57],"by":[58,84,109],"applying":[59],"Gaussian":[60,101],"modeling":[61],"DNN-based":[64],"tiny":[65,95,100],"YOLOv3":[66],"algorithm":[67,93,126],"consequently,":[69],"drastically":[71],"improve":[72],"at":[74,133],"expense":[76],"of":[77,81,129,155],"a":[78],"slight":[79],"penalty":[80],"using":[85],"post-processing.":[88],"Compared":[89],"baseline":[92],"(i.e.,":[94],"YOLOv3),":[96],"proposed":[98,125],"algorithm,":[99],"YOLOv3,":[102],"improves":[103],"mean":[105],"average":[106],"precision":[107],"(mAP)":[108],"2.62":[110],"4.6":[112],"Berkeley":[115],"deep":[116],"(BDD)":[118],"KITTI":[120,148],"datasets,":[121],"respectively.":[122],"Nevertheless,":[123],"capable":[128],"performing":[130],"real-time":[131],"55.56":[134],"frames":[135],"per":[136],"second":[137],"(fps)":[138],"BDD":[141],"dataset":[142],"69.74":[144],"fps":[145],"dataset,":[149],"respectively,":[150],"under":[151],"mode":[153],"0":[154],"platform,":[160],"Jetson":[161],"AGX":[162],"Xavier.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
