{"id":"https://openalex.org/W4392405985","doi":"https://doi.org/10.1109/access.2024.3373446","title":"An Improved Dynamic Window Approach Based on Reinforcement Learning for the Trajectory Planning of Automated Guided Vehicles","display_name":"An Improved Dynamic Window Approach Based on Reinforcement Learning for the Trajectory Planning of Automated Guided Vehicles","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392405985","doi":"https://doi.org/10.1109/access.2024.3373446"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3373446","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3373446","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10459192.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10459192.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068551723","display_name":"Da Ming Jiang","orcid":"https://orcid.org/0000-0001-5021-3010"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Da Jiang","raw_affiliation_strings":["National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5021-3010","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071731846","display_name":"Ling Du","orcid":"https://orcid.org/0000-0003-2200-4216"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Du","raw_affiliation_strings":["National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2200-4216","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034381828","display_name":"Shuhui Li","orcid":"https://orcid.org/0000-0002-6880-0958"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhui Li","raw_affiliation_strings":["National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039173798","display_name":"Meijing Wang","orcid":"https://orcid.org/0000-0002-9360-5468"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meijing Wang","raw_affiliation_strings":["National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101893795","display_name":"Hongchao Zhang","orcid":"https://orcid.org/0000-0003-2518-6975"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchao Zhang","raw_affiliation_strings":["National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China","School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210145005"]},{"raw_affiliation_string":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073215699","display_name":"Xiaole Chen","orcid":"https://orcid.org/0000-0001-7565-3901"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaole Chen","raw_affiliation_strings":["National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109374594","display_name":"Yunlong Sun","orcid":"https://orcid.org/0009-0002-0885-6455"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Sun","raw_affiliation_strings":["National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Wheeled Vehicle, China North Vehicle Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210145005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5068551723"],"corresponding_institution_ids":["https://openalex.org/I4210145005"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0856,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87652619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"36016","last_page":"36025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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":1.0,"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":0.9965000152587891,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.992900013923645,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8700802326202393},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7709428668022156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.770124077796936},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.653354823589325},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.647453248500824},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6106985807418823},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.4698939323425293},{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.45894140005111694},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4487157166004181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40534508228302},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.30266597867012024},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13043072819709778},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11181584000587463},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07871970534324646}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8700802326202393},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7709428668022156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.770124077796936},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.653354823589325},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.647453248500824},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6106985807418823},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.4698939323425293},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.45894140005111694},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4487157166004181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40534508228302},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.30266597867012024},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13043072819709778},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11181584000587463},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07871970534324646},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3373446","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3373446","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10459192.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b16c950623b8401a85b5bbd32dc06263","is_oa":true,"landing_page_url":"https://doaj.org/article/b16c950623b8401a85b5bbd32dc06263","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 36016-36025 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3373446","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3373446","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10459192.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G6481924690","display_name":null,"funder_award_id":"6K23XXXX","funder_id":"https://openalex.org/F4320329332","funder_display_name":"Central Military Commission"}],"funders":[{"id":"https://openalex.org/F4320329332","display_name":"Central Military Commission","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392405985.pdf","grobid_xml":"https://content.openalex.org/works/W4392405985.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2117211893","https://openalex.org/W2736887377","https://openalex.org/W2774386693","https://openalex.org/W2891816981","https://openalex.org/W2979897999","https://openalex.org/W2998671458","https://openalex.org/W3015689433","https://openalex.org/W3044457827","https://openalex.org/W3045974612","https://openalex.org/W3089422924","https://openalex.org/W3090270894","https://openalex.org/W3092291811","https://openalex.org/W3096574182","https://openalex.org/W3102334304","https://openalex.org/W3121335749","https://openalex.org/W3124017082","https://openalex.org/W3132433692","https://openalex.org/W3139173821","https://openalex.org/W3139779774","https://openalex.org/W3181843513","https://openalex.org/W3196742713","https://openalex.org/W3217170181","https://openalex.org/W4200632446","https://openalex.org/W4205404209","https://openalex.org/W4205528918","https://openalex.org/W4220800225","https://openalex.org/W4226526209","https://openalex.org/W4289656833","https://openalex.org/W4312959295","https://openalex.org/W4313004829","https://openalex.org/W4386363039","https://openalex.org/W6748839928"],"related_works":["https://openalex.org/W2116422677","https://openalex.org/W2517007886","https://openalex.org/W2383994331","https://openalex.org/W1522019333","https://openalex.org/W278047738","https://openalex.org/W2076369646","https://openalex.org/W2373884197","https://openalex.org/W4244817184","https://openalex.org/W2961923709","https://openalex.org/W2145006118"],"abstract_inverted_index":{"The":[0,69],"traditional":[1,61,148,159],"dynamic":[2],"window":[3],"approach":[4,31],"(DWA)":[5],"adopts":[6],"the":[7,11,16,23,44,48,60,66,78,82,105,108,116,129,134,147,158],"constant":[8],"intervals":[9],"for":[10,47],"sampling":[12,41,63,87],"window,":[13],"which":[14,85,151],"limits":[15],"trajectory":[17,38,56],"exploration":[18],"possibility.":[19],"This":[20],"paper":[21],"employs":[22],"twin":[24],"delayed":[25],"deep":[26],"deterministic":[27],"policy":[28,106],"gradient":[29],"(TD3)":[30],"to":[32,95],"generate":[33,101],"a":[34,153],"reinforcement-learning-based":[35,131],"auxiliary":[36,55],"candidate":[37],"with":[39,59,136],"variable":[40],"mechanism":[42,118],"in":[43,65,138,143,162],"prediction":[45],"domain":[46],"automated":[49],"guided":[50],"vehicle":[51],"(AGV).":[52],"Subsequently,":[53],"this":[54],"would":[57],"compete":[58],"DWA":[62,83,117,132,149,160],"trajectories":[64],"optimal":[67],"evaluation.":[68],"proposed":[70,109,130],"method":[71,110,161],"significantly":[72],"reduces":[73],"computational":[74],"costs":[75],"while":[76],"expanding":[77],"search":[79],"space":[80],"of":[81],"scheme,":[84],"improving":[86],"utilization":[88],"efficiency":[89,145],"and":[90,120,141],"planning":[91,102,113,139,165],"effectiveness.":[92],"In":[93],"contrast":[94],"completed":[96],"data-driven":[97],"methods":[98],"that":[99,128],"directly":[100],"solutions":[103],"through":[104],"networks,":[107],"overall":[111],"ensures":[112],"effectiveness":[114],"by":[115],"unit":[119],"demonstrates":[121],"superior":[122],"generalization":[123],"capabilities.":[124],"Simulation":[125],"results":[126],"reveal":[127],"generates":[133],"improvement":[135,156],"6.97%":[137],"reward":[140],"17.46%":[142],"calculation":[144],"towards":[146],"approach,":[150],"demonstrating":[152],"significant":[154],"performance":[155],"over":[157],"AGV":[163],"local":[164],"mission.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
