{"id":"https://openalex.org/W4407692116","doi":"https://doi.org/10.1109/iceic64972.2025.10879728","title":"An Optimized Edge Platform for 3D Object Detection in Autonomous Driving","display_name":"An Optimized Edge Platform for 3D Object Detection in Autonomous Driving","publication_year":2025,"publication_date":"2025-01-19","ids":{"openalex":"https://openalex.org/W4407692116","doi":"https://doi.org/10.1109/iceic64972.2025.10879728"},"language":"en","primary_location":{"id":"doi:10.1109/iceic64972.2025.10879728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic64972.2025.10879728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5109630580","display_name":"Kwonseung Bok","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kwonseung Bok","raw_affiliation_strings":["Intelligent Image Processing Research Center, Korea Electronics Technology Institute,Gyeonggi-do,South Korea"],"affiliations":[{"raw_affiliation_string":"Intelligent Image Processing Research Center, Korea Electronics Technology Institute,Gyeonggi-do,South Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425051","display_name":"Yu-Mi Kim","orcid":"https://orcid.org/0000-0003-0397-7645"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yumi Kim","raw_affiliation_strings":["Intelligent Image Processing Research Center, Korea Electronics Technology Institute,Gyeonggi-do,South Korea"],"affiliations":[{"raw_affiliation_string":"Intelligent Image Processing Research Center, Korea Electronics Technology Institute,Gyeonggi-do,South Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101835867","display_name":"Aeri Kim","orcid":"https://orcid.org/0000-0001-6993-060X"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Aeri Kim","raw_affiliation_strings":["Intelligent Image Processing Research Center, Korea Electronics Technology Institute,Gyeonggi-do,South Korea"],"affiliations":[{"raw_affiliation_string":"Intelligent Image Processing Research Center, Korea Electronics Technology Institute,Gyeonggi-do,South Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044022432","display_name":"Sang-Seol Lee","orcid":"https://orcid.org/0009-0001-5158-438X"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Seol Lee","raw_affiliation_strings":["Intelligent Image Processing Research Center, Korea Electronics Technology Institute,Gyeonggi-do,South Korea"],"affiliations":[{"raw_affiliation_string":"Intelligent Image Processing Research Center, Korea Electronics Technology Institute,Gyeonggi-do,South Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072068792","display_name":"Kyung\u2010Ho Kim","orcid":"https://orcid.org/0000-0002-8154-2041"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungho Kim","raw_affiliation_strings":["Intelligent Image Processing Research Center, Korea Electronics Technology Institute,Gyeonggi-do,South Korea"],"affiliations":[{"raw_affiliation_string":"Intelligent Image Processing Research Center, Korea Electronics Technology Institute,Gyeonggi-do,South Korea","institution_ids":["https://openalex.org/I4210131650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109630580"],"corresponding_institution_ids":["https://openalex.org/I4210131650"],"apc_list":null,"apc_paid":null,"fwci":1.3104,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77104197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9602000117301941,"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":0.9602000117301941,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9158999919891357,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9129999876022339,"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":0.6619529724121094},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6424449682235718},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6366637945175171},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5793164968490601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5284804105758667},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.513095498085022},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.500194787979126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1950978934764862},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.10807874798774719},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08779940009117126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6619529724121094},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6424449682235718},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6366637945175171},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5793164968490601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5284804105758667},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.513095498085022},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.500194787979126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1950978934764862},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.10807874798774719},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08779940009117126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic64972.2025.10879728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic64972.2025.10879728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2624503621","https://openalex.org/W2949708697","https://openalex.org/W2953901595","https://openalex.org/W3003604113","https://openalex.org/W3019048729","https://openalex.org/W4385696134"],"related_works":["https://openalex.org/W2315652488","https://openalex.org/W2028037572","https://openalex.org/W2039365229","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W65623452","https://openalex.org/W2145843506","https://openalex.org/W4293054829","https://openalex.org/W2056407677","https://openalex.org/W2128085731"],"abstract_inverted_index":{"Autonomous":[0],"driving":[1,122],"technology":[2],"has":[3],"been":[4],"developed":[5],"to":[6,40,65,105,116,152],"enhance":[7],"the":[8,69,149,154,175],"safety":[9],"of":[10,60,129,138,157],"vehicles":[11],"and":[12,18,52,92,96,142,168],"drivers":[13],"by":[14],"recognizing":[15],"surrounding":[16],"objects":[17],"making":[19,62],"appropriate":[20],"situational":[21],"judgments":[22],"using":[23,50],"sophisticated":[24],"sensors.":[25],"In":[26,98],"particular,":[27],"3D":[28,47,107,165],"object":[29,43,48,108,166],"detection":[30,49,109],"networks":[31],"utilizing":[32],"LiDAR":[33,51],"within":[34,68],"deep":[35],"learning":[36],"models":[37],"have":[38],"advanced":[39,53],"achieve":[41],"accurate":[42],"detection.":[44],"However,":[45],"performing":[46,164],"sensors":[54],"requires":[55],"processing":[56,135],"a":[57,103,130,143],"massive":[58],"amount":[59],"data,":[61],"it":[63,115],"challenging":[64],"handle":[66,153],"directly":[67,173],"vehicle.":[70],"While":[71],"external":[72],"computational":[73],"resources":[74],"such":[75],"as":[76],"cloud":[77,140,160],"servers":[78],"can":[79],"be":[80,117],"employed,":[81],"this":[82,99],"approach":[83],"introduces":[84],"difficulties":[85],"in":[86],"guaranteeing":[87],"low":[88],"data":[89,94,141,161],"exchange":[90],"latency":[91],"ensuring":[93],"stability":[95],"security.":[97],"paper,":[100],"we":[101],"propose":[102],"method":[104],"process":[106,156],"on":[110,174],"an":[111],"edge":[112,126,150],"platform,":[113],"enabling":[114],"handled":[118],"locally":[119],"for":[120,134],"autonomous":[121],"applications.":[123],"The":[124],"proposed":[125],"platform":[127,151],"consists":[128],"hardware":[131],"architecture":[132],"optimized":[133],"large":[136],"volumes":[137],"point":[139,159],"quantized,":[144],"lightweight":[145],"network.":[146],"This":[147],"enables":[148],"entire":[155],"acquiring":[158],"via":[162],"LiDAR,":[163],"detection,":[167],"executing":[169],"image":[170],"post-processing":[171],"tasks":[172],"device.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
