{"id":"https://openalex.org/W4408689473","doi":"https://doi.org/10.1145/3716895.3716980","title":"Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning","display_name":"Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-11-08","ids":{"openalex":"https://openalex.org/W4408689473","doi":"https://doi.org/10.1145/3716895.3716980"},"language":"en","primary_location":{"id":"doi:10.1145/3716895.3716980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3716895.3716980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering","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/A5111346145","display_name":"Letian Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Letian Xu","raw_affiliation_strings":["Independent Researcher, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Independent Researcher, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107519928","display_name":"Hao Liu","orcid":"https://orcid.org/0009-0009-6005-5453"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Independent Researcher, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Independent Researcher, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101387282","display_name":"Haopeng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haopeng Zhao","raw_affiliation_strings":["New York University, New York, USA"],"affiliations":[{"raw_affiliation_string":"New York University, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113266702","display_name":"Tianyao Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianyao Zheng","raw_affiliation_strings":["Independent Researcher, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Independent Researcher, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104336921","display_name":"Tongzhou Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tongzhou Jiang","raw_affiliation_strings":["Independent Researcher, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Independent Researcher, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087577303","display_name":"L. D. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lipeng Liu","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5111346145"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2674,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93566064,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"480","last_page":"484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9983000159263611,"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.8041603565216064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6351585388183594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5017678737640381},{"id":"https://openalex.org/keywords/remotely-operated-underwater-vehicle","display_name":"Remotely operated underwater vehicle","score":0.4488506615161896},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.4328542947769165},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.3421865701675415},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32564663887023926},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32392895221710205},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2520473599433899},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1882632076740265}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8041603565216064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6351585388183594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5017678737640381},{"id":"https://openalex.org/C145424490","wikidata":"https://www.wikidata.org/wiki/Q618465","display_name":"Remotely operated underwater vehicle","level":4,"score":0.4488506615161896},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.4328542947769165},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.3421865701675415},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32564663887023926},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32392895221710205},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2520473599433899},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1882632076740265}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3716895.3716980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3716895.3716980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W4309486096","https://openalex.org/W4313590817","https://openalex.org/W4385803579","https://openalex.org/W4386782739","https://openalex.org/W4388017786","https://openalex.org/W4394998407","https://openalex.org/W4402955379","https://openalex.org/W4406035918","https://openalex.org/W6600213211","https://openalex.org/W6600223117","https://openalex.org/W6601517772","https://openalex.org/W6862476081","https://openalex.org/W6869587837"],"related_works":["https://openalex.org/W2071768959","https://openalex.org/W4319442894","https://openalex.org/W2921408402","https://openalex.org/W4312767556","https://openalex.org/W2982615283","https://openalex.org/W2290286193","https://openalex.org/W4312370102","https://openalex.org/W2076947815","https://openalex.org/W1541316785","https://openalex.org/W2093391009"],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"the":[3,21,49,62,68,78,83,92,131],"use":[4],"of":[5,60,82],"Deep":[6,22,102,107],"Reinforcement":[7],"Learning":[8],"(DRL)":[9],"to":[10,67,122,130],"achieve":[11],"autonomous":[12,43],"navigation":[13,44,69,127],"for":[14,54],"unmanned":[15],"vehicles,":[16],"with":[17],"a":[18,75],"focus":[19],"on":[20],"Deterministic":[23],"Policy":[24],"Gradient":[25],"(DDPG)":[26],"algorithm.":[27],"The":[28,46,88,115],"main":[29],"challenge":[30],"addressed":[31],"is":[32,65],"handling":[33],"high-dimensional,":[34],"continuous":[35],"action":[36],"spaces,":[37],"which":[38],"are":[39,86],"commonly":[40],"encountered":[41],"in":[42,74,111,128],"tasks.":[45,114],"study":[47],"presents":[48],"Ackermann":[50],"robot":[51],"model":[52],"used":[53],"testing":[55],"and":[56,80,105,125],"provides":[57],"an":[58],"explanation":[59],"how":[61],"DDPG":[63,93],"algorithm":[64,94,117],"applied":[66],"problem.":[70],"Through":[71],"experiments":[72],"conducted":[73],"simulation":[76],"environment,":[77],"feasibility":[79],"effectiveness":[81],"proposed":[84],"approach":[85],"verified.":[87],"results":[89],"indicate":[90],"that":[91],"outperforms":[95],"traditional":[96,132],"reinforcement":[97],"learning":[98],"algorithms,":[99],"such":[100],"as":[101],"Q-Network":[103,108],"(DQN)":[104],"Double":[106],"(DDQN),":[109],"particularly":[110],"path":[112],"planning":[113],"improved":[116],"demonstrates":[118],"better":[119],"decision-making,":[120],"leading":[121],"more":[123],"accurate":[124],"reliable":[126],"comparison":[129],"methods.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}