{"id":"https://openalex.org/W4408863222","doi":"https://doi.org/10.1109/icce63647.2025.10930206","title":"Performance Analysis of RL Based End-to-End Learning Technology for Autonomous Driving","display_name":"Performance Analysis of RL Based End-to-End Learning Technology for Autonomous Driving","publication_year":2025,"publication_date":"2025-01-11","ids":{"openalex":"https://openalex.org/W4408863222","doi":"https://doi.org/10.1109/icce63647.2025.10930206"},"language":"en","primary_location":{"id":"doi:10.1109/icce63647.2025.10930206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10930206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","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/A5040923463","display_name":"Woomin Jun","orcid":"https://orcid.org/0009-0006-5811-3296"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Woomin Jun","raw_affiliation_strings":["Dong Seoul University, Autonomous Driving Lab, MODULABS,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dong Seoul University, Autonomous Driving Lab, MODULABS,Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116806926","display_name":"Yun-Jea Won","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":false,"raw_author_name":"Yun-Jea Won","raw_affiliation_strings":["Korea Electronics Technology Institute, Autonomous Driving Lab, MODULABS,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute, Autonomous Driving Lab, MODULABS,Republic of Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059364316","display_name":"Pusik Park","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":false,"raw_author_name":"Pusik Park","raw_affiliation_strings":["Korea Electronics Technology Institute, Mobility Platform Research Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute, Mobility Platform Research Center","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008633521","display_name":"Kyungwon Chun","orcid":"https://orcid.org/0000-0001-9544-7021"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kyungwon Chun","raw_affiliation_strings":["Autonomous Driving Lab, MODULABS,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autonomous Driving Lab, MODULABS,Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059843397","display_name":"Sung Lee","orcid":"https://orcid.org/0000-0001-9852-6999"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungjin Lee","raw_affiliation_strings":["Soonchunhyang University, MODULABS,Department of Smart Automobile,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soonchunhyang University, MODULABS,Department of Smart Automobile,Republic of Korea","institution_ids":["https://openalex.org/I24541011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.8414999842643738,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12546","display_name":"Smart Parking Systems Research","score":0.8414999842643738,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T13924","display_name":"Internet of Things and Social Network Interactions","score":0.7731000185012817,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12676","display_name":"Machine Learning and ELM","score":0.7508000135421753,"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/end-to-end-principle","display_name":"End-to-end principle","score":0.7749465107917786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6530640125274658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26350075006484985}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.7749465107917786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6530640125274658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26350075006484985}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce63647.2025.10930206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10930206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","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":12,"referenced_works":["https://openalex.org/W2953303875","https://openalex.org/W2981207549","https://openalex.org/W3011462663","https://openalex.org/W4281728371","https://openalex.org/W4386066695","https://openalex.org/W4389262616","https://openalex.org/W4402307972","https://openalex.org/W6684338915","https://openalex.org/W6781473119","https://openalex.org/W6839043673","https://openalex.org/W6840683208","https://openalex.org/W6853008310"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"As":[0],"autonomous":[1,34,60],"driving":[2,61,87,110],"technology":[3,10,32,117],"is":[4],"being":[5,49],"researched":[6],"as":[7,103],"a":[8,201],"core":[9,31],"for":[11,58,118],"the":[12,63,69,74,82,91,95,109,115,145,151,165,175,207],"future":[13],"automotive":[14],"industry,":[15],"there":[16],"has":[17],"been":[18],"rapid":[19],"advancement":[20],"in":[21,43,51,121,150,197],"related":[22],"sensors,":[23],"components,":[24],"platforms,":[25,41],"and":[26,40,94,105,140,184,186,218],"artificial":[27],"intelligence":[28],"technologies.":[29],"The":[30,154,192],"of":[33,65,147,179],"driving,":[35],"based":[36,89,107],"on":[37,90,108,129,159],"such":[38,102],"hardware":[39],"lies":[42],"AI-driven":[44],"software,":[45],"with":[46],"various":[47],"studies":[48],"conducted":[50],"this":[52],"field.":[53],"In":[54],"particular,":[55],"key":[56],"technologies":[57],"advancing":[59],"include":[62],"mechanism":[64],"interaction":[66],"among":[67],"modules:":[68],"perception":[70],"module":[71,84,97,136],"that":[72,85,98],"recognizes":[73],"ego":[75],"vehicle's":[76],"situation":[77],"from":[78],"multiple":[79],"sensor":[80],"inputs,":[81],"decision":[83],"plans":[86],"strategies":[88],"recognized":[92],"situation,":[93],"control":[96,120,135,141,152],"operates":[99],"physical":[100],"components":[101],"acceleration":[104],"steering":[106],"plan.":[111],"This":[112,126],"also":[113],"includes":[114],"orchestration":[116],"feedback":[119],"response":[122],"to":[123,171,206],"changing":[124],"environments.":[125],"paper":[127],"focuses":[128],"E2E":[130],"(End-to-End":[131],"Learning),":[132],"an":[133,195],"integrated":[134],"encompassing":[137],"perception,":[138],"decision,":[139],"modules,":[142],"specifically":[143],"investigating":[144],"performance":[146,163,198],"reinforcement":[148,203],"learning":[149,162,204],"section.":[153],"research":[155],"places":[156],"particular":[157],"emphasis":[158],"evaluating":[160],"end-to-end":[161],"using":[164],"CARLA":[166],"online":[167],"simulator":[168],"(Car":[169],"Learning":[170],"Act).":[172],"It":[173],"examines":[174],"neural":[176],"network":[177],"structure":[178],"TCP":[180],"(Trajectory-guided":[181],"Control":[182],"Prediction)":[183],"trains":[185],"validates":[187],"it":[188],"under":[189],"identical":[190],"conditions.":[191],"results":[193],"show":[194],"increase":[196],"when":[199],"comparing":[200],"simple":[202],"model":[205],"original:":[208],"Driving":[209],"Score":[210],"improved":[211],"by":[212,216],"4.81%,":[213],"Route":[214],"Completion":[215],"1.91%,":[217],"Infraction":[219],"Penalty":[220],"remained":[221],"at":[222],"0.0%.":[223]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}