{"id":"https://openalex.org/W4392944655","doi":"https://doi.org/10.1109/iceic61013.2024.10457143","title":"Deep Reinforcement Learning-Based Path-Tracking for Unmanned Vehicle Navigation Enhancement","display_name":"Deep Reinforcement Learning-Based Path-Tracking for Unmanned Vehicle Navigation Enhancement","publication_year":2024,"publication_date":"2024-01-28","ids":{"openalex":"https://openalex.org/W4392944655","doi":"https://doi.org/10.1109/iceic61013.2024.10457143"},"language":"en","primary_location":{"id":"doi:10.1109/iceic61013.2024.10457143","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic61013.2024.10457143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5109693137","display_name":"Seung Geon Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I119060216","display_name":"Hankyong National University","ror":"https://ror.org/0031nsg68","country_code":"KR","type":"education","lineage":["https://openalex.org/I119060216"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung Geon Yang","raw_affiliation_strings":["School of ICT, Robotics and Mechanical Engineering, Hankyong National University,Anseong,South Korea","School of ICT, Robotics and Mechanical Engineering, Hankyong National University, Anseong, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ICT, Robotics and Mechanical Engineering, Hankyong National University,Anseong,South Korea","institution_ids":["https://openalex.org/I119060216"]},{"raw_affiliation_string":"School of ICT, Robotics and Mechanical Engineering, Hankyong National University, Anseong, South Korea","institution_ids":["https://openalex.org/I119060216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111149857","display_name":"Eun Ho Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I119060216","display_name":"Hankyong National University","ror":"https://ror.org/0031nsg68","country_code":"KR","type":"education","lineage":["https://openalex.org/I119060216"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eun Ho Cho","raw_affiliation_strings":["School of Electrical, Electronic and Control Engineering, Hankyong National University,Anseong,South Korea","School of Electrical, Electronic and Control Engineering, Hankyong National University, Anseong, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Electronic and Control Engineering, Hankyong National University,Anseong,South Korea","institution_ids":["https://openalex.org/I119060216"]},{"raw_affiliation_string":"School of Electrical, Electronic and Control Engineering, Hankyong National University, Anseong, South Korea","institution_ids":["https://openalex.org/I119060216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031074658","display_name":"Jeongyun Kim","orcid":"https://orcid.org/0000-0002-5019-2894"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeongyun Kim","raw_affiliation_strings":["Massachusetts Institute of Technology,Wireless Information and Network Sciences Laboratory,Cambridge,MA,USA,02139"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology,Wireless Information and Network Sciences Laboratory,Cambridge,MA,USA,02139","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036363751","display_name":"Seung-Chan Lim","orcid":"https://orcid.org/0000-0002-7630-8533"},"institutions":[{"id":"https://openalex.org/I119060216","display_name":"Hankyong National University","ror":"https://ror.org/0031nsg68","country_code":"KR","type":"education","lineage":["https://openalex.org/I119060216"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-Chan Lim","raw_affiliation_strings":["School of ICT, Robotics and Mechanical Engineering, Hankyong National University,Anseong,South Korea","School of ICT, Robotics and Mechanical Engineering, Hankyong National University, Anseong, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ICT, Robotics and Mechanical Engineering, Hankyong National University,Anseong,South Korea","institution_ids":["https://openalex.org/I119060216"]},{"raw_affiliation_string":"School of ICT, Robotics and Mechanical Engineering, Hankyong National University, Anseong, South Korea","institution_ids":["https://openalex.org/I119060216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0517,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80549276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9983000159263611,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9983000159263611,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9872000217437744,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9861000180244446,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8640128374099731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6676152944564819},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5728921890258789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5536384582519531},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5345503687858582},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.461984246969223},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10342243313789368},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.05629119277000427}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8640128374099731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676152944564819},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5728921890258789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536384582519531},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5345503687858582},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.461984246969223},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10342243313789368},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.05629119277000427},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic61013.2024.10457143","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic61013.2024.10457143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2133066324","https://openalex.org/W2145339207","https://openalex.org/W2741850495","https://openalex.org/W3137361670","https://openalex.org/W4214717370"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Despite":[0],"the":[1,40,46,55,63,71],"growing":[2],"interest":[3],"in":[4,11,68],"autonomous":[5],"vehicles,":[6],"practical":[7],"challenges":[8],"remain":[9],"particularly":[10],"achieving":[12],"high":[13],"tracking":[14,27,66],"performance.":[15],"In":[16],"this":[17,21,35],"study,":[18],"we":[19,37],"address":[20],"issue":[22],"by":[23],"developing":[24],"a":[25],"path":[26],"algorithm":[28,67],"based":[29],"on":[30],"deep":[31,47],"reinforcement":[32],"learning.":[33],"To":[34],"end,":[36],"elaborately":[38],"design":[39],"Markov":[41],"decision":[42],"process":[43],"and":[44,60],"implement":[45],"Q-network":[48],"(DQN)":[49],"training":[50],"algorithm.":[51],"Simulation":[52],"results":[53],"validate":[54],"superior":[56],"convergence":[57],"speed,":[58],"accuracy,":[59],"stability":[61],"of":[62],"proposed":[64],"DQN-based":[65],"comparison":[69],"to":[70],"conventional":[72],"approach.":[73]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}