{"id":"https://openalex.org/W4400811681","doi":"https://doi.org/10.1115/1.4066025","title":"Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning","display_name":"Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-07-19","ids":{"openalex":"https://openalex.org/W4400811681","doi":"https://doi.org/10.1115/1.4066025"},"language":"en","primary_location":{"id":"doi:10.1115/1.4066025","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1115/1.4066025","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-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/A5052456306","display_name":"Armaan Garg","orcid":"https://orcid.org/0000-0001-6796-1381"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Armaan Garg","raw_affiliation_strings":["Indian Institute of Technology Ropar Department of Computer Science & Engineering, , Rupnagar 140001, Punjab , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Ropar Department of Computer Science & Engineering, , Rupnagar 140001, Punjab , India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003320528","display_name":"Shashi Shekhar Jha","orcid":"https://orcid.org/0000-0002-1375-2266"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashi Shekhar Jha","raw_affiliation_strings":["Indian Institute of Technology Ropar Department of Computer Science & Engineering, , Rupnagar 140001, Punjab , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Ropar Department of Computer Science & Engineering, , Rupnagar 140001, Punjab , India","institution_ids":["https://openalex.org/I119241673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119241673"],"apc_list":null,"apc_paid":null,"fwci":1.1646,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85798575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"24","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9994000196456909,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.996399998664856,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/motion-planning","display_name":"Motion planning","score":0.7107508182525635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5774688124656677},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5663944482803345},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5029961466789246},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.4635756313800812},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4410296678543091},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4372761845588684},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.41922739148139954},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.4158560037612915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4111367464065552},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.35367387533187866},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.32290786504745483},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.20962876081466675},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.11178240180015564},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09959211945533752}],"concepts":[{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.7107508182525635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5774688124656677},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5663944482803345},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5029961466789246},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.4635756313800812},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4410296678543091},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4372761845588684},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.41922739148139954},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.4158560037612915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4111367464065552},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.35367387533187866},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32290786504745483},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.20962876081466675},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.11178240180015564},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09959211945533752},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4066025","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1115/1.4066025","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2013036948","https://openalex.org/W2142156433","https://openalex.org/W2183538038","https://openalex.org/W2345210064","https://openalex.org/W2408443083","https://openalex.org/W2605937326","https://openalex.org/W2964023906","https://openalex.org/W2968133620","https://openalex.org/W2971481292","https://openalex.org/W3024350433","https://openalex.org/W3125544846","https://openalex.org/W3132857324","https://openalex.org/W3154328278","https://openalex.org/W3171554598","https://openalex.org/W3214229832","https://openalex.org/W4210544690","https://openalex.org/W4224031990","https://openalex.org/W4281671899","https://openalex.org/W4285089922","https://openalex.org/W4285231931","https://openalex.org/W4299802797","https://openalex.org/W4307638865","https://openalex.org/W4385989031","https://openalex.org/W4386102979","https://openalex.org/W4388220112","https://openalex.org/W6696707632","https://openalex.org/W6736337449","https://openalex.org/W6738796088","https://openalex.org/W6766413475","https://openalex.org/W6790838661","https://openalex.org/W6791194670","https://openalex.org/W6807520638","https://openalex.org/W7042856525"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W4391249562","https://openalex.org/W2356867392","https://openalex.org/W2782776446","https://openalex.org/W3043170174","https://openalex.org/W2155948905","https://openalex.org/W4380590094"],"abstract_inverted_index":{"Abstract":[0],"During":[1],"disasters,":[2],"such":[3],"as":[4,196],"floods,":[5],"it":[6,197],"is":[7,81,125,171],"crucial":[8],"to":[9,36,39,57,71,82,94,104,137],"get":[10],"real-time":[11,33],"ground":[12],"information":[13],"for":[14,32,49,76,86,114,134],"planning":[15,35,136,165],"rescue":[16],"and":[17,51,109],"response":[18],"operations.":[19],"With":[20],"the":[21,58,106,118,128,142,147,153,158,163,178,190,193],"advent":[22],"of":[23,89,117,192],"technology,":[24],"unmanned":[25],"aerial":[26],"vehicles":[27,92],"(UAVs)":[28],"are":[29,102],"being":[30],"deployed":[31],"path":[34,135,164],"provide":[37],"support":[38],"evacuation":[40,91],"teams.":[41],"However,":[42],"their":[43,54],"dependency":[44],"on":[45,157],"expert":[46],"human":[47],"pilots":[48],"command":[50],"control":[52,73],"limits":[53],"operational":[55],"capacity":[56],"line-of-sight":[59],"range.":[60],"In":[61],"this":[62],"article,":[63],"we":[64],"utilize":[65],"a":[66],"deep":[67],"reinforcement":[68],"learning":[69],"algorithm":[70,133],"autonomously":[72],"multiple":[74],"UAVs":[75,101,124],"area":[77],"coverage.":[78],"The":[79,100,120,167,187],"objective":[80],"identify":[83,110],"serviceable":[84],"paths":[85],"safe":[87],"navigation":[88],"waterborne":[90],"(WBVs)":[93],"reach":[95],"critical":[96],"location(s)":[97],"during":[98],"floods.":[99],"tasked":[103],"capture":[105],"obstacle-related":[107],"data":[108,121],"shallow":[111],"water":[112],"regions":[113],"unrestricted":[115],"motion":[116],"WBV(s).":[119,139],"gathered":[122],"by":[123,127,151],"used":[126],"minimum":[129],"expansion":[130,144],"A*":[131,149],"(MEA*)":[132],"assist":[138],"MEA*":[140],"addresses":[141],"node":[143],"issue":[145],"with":[146,173,184],"standard":[148],"algorithm,":[150],"pruning":[152],"unserviceable":[154],"nodes/locations":[155],"based":[156],"captured":[159],"information,":[160],"hence":[161],"expediting":[162],"process.":[166],"proposed":[168,194],"approach,":[169],"MEA*MADDPG,":[170],"compared":[172,202],"other":[174,199],"prevalent":[175],"techniques":[176,200],"from":[177],"literature":[179],"over":[180,203],"simulated":[181],"flood":[182],"environments":[183],"moving":[185],"obstacles.":[186],"results":[188],"highlight":[189],"significance":[191],"model":[195],"outperforms":[198],"when":[201],"various":[204],"performance":[205],"metrics.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
