{"id":"https://openalex.org/W7118495279","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310003","title":"PPO-Meta-Aided Real-Time Path-Planning Optimization for Autonomous Driving Systems","display_name":"PPO-Meta-Aided Real-Time Path-Planning Optimization for Autonomous Driving Systems","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7118495279","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310003"},"language":null,"primary_location":{"id":"doi:10.1109/vtc2025-fall65116.2025.11310003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","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/A5118695993","display_name":"Estifanos Tilahun Mihret","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Estifanos Tilahun Mihret","raw_affiliation_strings":["National Taiwan University of Science and Technology,Department of Computer Science and Information Engineering,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Department of Computer Science and Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122213447","display_name":"Huei-Wen Ferng","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Huei-Wen Ferng","raw_affiliation_strings":["National Taiwan University of Science and Technology,Department of Computer Science and Information Engineering,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Department of Computer Science and Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5118695993"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58535557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.5561000108718872,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.5561000108718872,"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"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.3287999927997589,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.01590000092983246,"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/trajectory","display_name":"Trajectory","score":0.6741999983787537},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.588100016117096},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.5629000067710876},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5493000149726868},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4797999858856201},{"id":"https://openalex.org/keywords/trajectory-optimization","display_name":"Trajectory optimization","score":0.4666000008583069},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4156999886035919},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.34689998626708984}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6741999983787537},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.588100016117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5784000158309937},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.5629000067710876},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5493000149726868},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5389000177383423},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4797999858856201},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.4666000008583069},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4156999886035919},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30559998750686646},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C2986766224","wikidata":"https://www.wikidata.org/wiki/Q1156793","display_name":"System optimization","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2025-fall65116.2025.11310003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","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":19,"referenced_works":["https://openalex.org/W3042609801","https://openalex.org/W3124827602","https://openalex.org/W3176417267","https://openalex.org/W4210400141","https://openalex.org/W4214764591","https://openalex.org/W4281904080","https://openalex.org/W4297964528","https://openalex.org/W4376166839","https://openalex.org/W4381198967","https://openalex.org/W4383112908","https://openalex.org/W4383502765","https://openalex.org/W4386076551","https://openalex.org/W4394596049","https://openalex.org/W4399568565","https://openalex.org/W4400646478","https://openalex.org/W4401109681","https://openalex.org/W4402835533","https://openalex.org/W4403722622","https://openalex.org/W4406266858"],"related_works":[],"abstract_inverted_index":{"A":[0],"novel":[1],"approach":[2,42,92,121],"based":[3],"on":[4],"proximal":[5],"policy":[6],"optimization":[7,22,66],"(PPO)":[8],"combined":[9],"with":[10],"meta-learning":[11,100],"is":[12,93],"proposed":[13,41,94,120],"in":[14,56,148],"this":[15,97],"paper":[16],"to":[17,44,68,95,108,110,136,143],"effectively":[18],"address":[19],"the":[20,25,70,81,86,123,144,149],"path-planning":[21,65],"problem,":[23,98],"enabling":[24],"generation":[26],"of":[27,85],"a":[28,64,76],"safe,":[29],"feasible,":[30],"and":[31,46,51,72,101,130,139],"optimal":[32,52,71],"path":[33,53],"for":[34,54],"an":[35,49],"autonomous":[36],"driving":[37],"system":[38],"(ADS).":[39],"Our":[40],"aims":[43],"autonomously":[45],"efficiently":[47],"generate":[48],"obstacle-free":[50],"ADS":[55],"real-time.":[57],"To":[58],"achieve":[59],"this,":[60],"we":[61,116],"first":[62],"formulate":[63],"problem":[67],"find":[69],"safe":[73],"trajectory":[74],"over":[75],"planning":[77],"horizon":[78],"while":[79],"minimizing":[80],"composite":[82],"cost":[83],"function":[84],"path.":[87],"Then,":[88],"our":[89,119],"PPO-Meta":[90],"learning-based":[91],"solve":[96],"leveraging":[99],"roadside":[102],"unit":[103],"(RSU)":[104],"assisted":[105],"global":[106],"information":[107],"adapt":[109],"unseen":[111],"scenarios":[112],"quickly.":[113],"Via":[114],"simulations,":[115],"demonstrate":[117],"that":[118],"improves":[122],"average":[124,127,131],"success":[125],"rate,":[126],"navigation":[128],"time,":[129],"safety":[132],"score":[133],"by":[134],"up":[135],"26.98%,":[137],"11.02%,":[138],"16.11%,":[140],"respectively,":[141],"compared":[142],"closely":[145],"related":[146],"approaches":[147],"literature.":[150]},"counts_by_year":[],"updated_date":"2026-01-08T20:10:11.968330","created_date":"2026-01-08T00:00:00"}
