{"id":"https://openalex.org/W4312069492","doi":"https://doi.org/10.3389/fnbot.2022.1105177","title":"UAV path planning method for data collection of fixed-point equipment in complex forest environment","display_name":"UAV path planning method for data collection of fixed-point equipment in complex forest environment","publication_year":2022,"publication_date":"2022-12-22","ids":{"openalex":"https://openalex.org/W4312069492","doi":"https://doi.org/10.3389/fnbot.2022.1105177","pmid":"https://pubmed.ncbi.nlm.nih.gov/36620485"},"language":"en","primary_location":{"id":"doi:10.3389/fnbot.2022.1105177","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.1105177","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.1105177/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.1105177/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009995771","display_name":"Xiaohui Cui","orcid":"https://orcid.org/0009-0000-2759-1400"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Cui","raw_affiliation_strings":["Engineering Research Center for Forestry-Oriented Intelligent Information Processing, National Forestry and Grassland Administration, Beijing, China","School of Information Science and Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Forestry-Oriented Intelligent Information Processing, National Forestry and Grassland Administration, Beijing, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445361","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0003-3049-004X"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006076167","display_name":"Shijie Yang","orcid":"https://orcid.org/0000-0001-9343-0250"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Yang","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080828323","display_name":"Hanzhang Liu","orcid":"https://orcid.org/0000-0003-1003-1372"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzhang Liu","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062892351","display_name":"Chao Mou","orcid":"https://orcid.org/0000-0002-9503-972X"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Mou","raw_affiliation_strings":["Engineering Research Center for Forestry-Oriented Intelligent Information Processing, National Forestry and Grassland Administration, Beijing, China","School of Information Science and Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Forestry-Oriented Intelligent Information Processing, National Forestry and Grassland Administration, Beijing, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062892351"],"corresponding_institution_ids":["https://openalex.org/I31683504","https://openalex.org/I4210134523"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":12.0895,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.97989263,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"16","issue":null,"first_page":"1105177","last_page":"1105177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9959999918937683,"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":0.9904000163078308,"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/computer-science","display_name":"Computer science","score":0.8083157539367676},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.7745904922485352},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6109874248504639},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5527938604354858},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.4928879737854004},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.48128098249435425},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42137277126312256},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4114946722984314},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3274330496788025},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3234139084815979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2729528248310089},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1302955448627472},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.11072331666946411},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07343217730522156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083157539367676},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.7745904922485352},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6109874248504639},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5527938604354858},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.4928879737854004},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.48128098249435425},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42137277126312256},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4114946722984314},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3274330496788025},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3234139084815979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2729528248310089},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1302955448627472},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.11072331666946411},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07343217730522156},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fnbot.2022.1105177","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.1105177","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.1105177/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},{"id":"pmid:36620485","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36620485","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in neurorobotics","raw_type":null},{"id":"pmh:oai:doaj.org/article:08362fe061bd4ee8a1e052e8f927a0da","is_oa":true,"landing_page_url":"https://doaj.org/article/08362fe061bd4ee8a1e052e8f927a0da","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":"Frontiers in Neurorobotics, Vol 16 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9813396","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9813396","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Neurorobot","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/fnbot.2022.1105177","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.1105177","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.1105177/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G5358978846","display_name":null,"funder_award_id":"BLX202140","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320327478","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312069492.pdf","grobid_xml":"https://content.openalex.org/works/W4312069492.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1419527249","https://openalex.org/W1574781976","https://openalex.org/W1922387586","https://openalex.org/W1992106482","https://openalex.org/W1993918491","https://openalex.org/W2002508249","https://openalex.org/W2039645456","https://openalex.org/W2075956742","https://openalex.org/W2120600560","https://openalex.org/W2294295227","https://openalex.org/W2327363925","https://openalex.org/W2463394261","https://openalex.org/W2510642710","https://openalex.org/W2577465126","https://openalex.org/W2764226165","https://openalex.org/W2791698329","https://openalex.org/W2795603418","https://openalex.org/W2802873703","https://openalex.org/W2961899294","https://openalex.org/W2962262066","https://openalex.org/W2964023906","https://openalex.org/W2971481292","https://openalex.org/W3007091509","https://openalex.org/W3039822077","https://openalex.org/W3048896029","https://openalex.org/W3093347455","https://openalex.org/W3111412729","https://openalex.org/W3131503981","https://openalex.org/W3134949638","https://openalex.org/W3193878267","https://openalex.org/W4200275635","https://openalex.org/W4205389794","https://openalex.org/W4205579390","https://openalex.org/W4206211217","https://openalex.org/W4226194519","https://openalex.org/W4229457263","https://openalex.org/W4289654464","https://openalex.org/W4296045794","https://openalex.org/W6701594565","https://openalex.org/W6731967913","https://openalex.org/W6762146987","https://openalex.org/W6780202197"],"related_works":["https://openalex.org/W4386821099","https://openalex.org/W2385394209","https://openalex.org/W1965569281","https://openalex.org/W2546046681","https://openalex.org/W2363850205","https://openalex.org/W2359600231","https://openalex.org/W2380019117","https://openalex.org/W3138952546","https://openalex.org/W1987886368","https://openalex.org/W1660309994"],"abstract_inverted_index":{"In":[0,148],"a":[1,104,131,196,209],"complicated":[2,105,170],"forest":[3,24,65,106],"environment,":[4],"it":[5,61],"is":[6,52,62,140],"usual":[7],"to":[8,22,92,156,181],"install":[9],"many":[10],"ground-fixed":[11,101],"devices,":[12],"and":[13,26,87,113,127,169,207],"patrol":[14,198],"personnel":[15],"periodically":[16],"collects":[17],"data":[18,39],"from":[19,40,100],"the":[20,71,75,78,94,117,143,149,151,163,174,177,182,190,214,218],"device":[21],"detect":[23],"pests":[25],"valuable":[27],"wild":[28],"animals.":[29],"Unlike":[30],"human":[31],"patrols,":[32],"UAV":[33,45,57,72,125,132,197],"(Unmanned":[34],"Aerial":[35],"Vehicles)":[36],"may":[37],"collect":[38],"ground-based":[41],"devices.":[42],"The":[43,81,186],"existing":[44,183],"path":[46,85,89,119,133,145,199],"planning":[47,86,90,120,134,146],"method":[48,135,179],"for":[49,55,64,142,162],"fixed-point":[50],"devices":[51,102],"usually":[53],"acceptable":[54],"simple":[56,168],"flight":[58],"scenes.":[59],"However,":[60],"unsuitable":[63],"patrol.":[66],"Meanwhile,":[67],"when":[68],"collecting":[69],"data,":[70],"should":[73],"consider":[74],"timeliness":[76],"of":[77,96,176,217],"collected":[79,99],"data.":[80],"paper":[82,152],"proposes":[83],"two-point":[84,118],"multi-point":[88,144],"methods":[91],"maximize":[93],"amount":[95],"fresh":[97],"information":[98,202],"in":[103,204],"environment.":[107],"Firstly,":[108],"we":[109,172],"adopt":[110],"chaotic":[111],"initialization":[112],"co-evolutionary":[114],"algorithmto":[115],"solve":[116],"issue":[121],"considering":[122],"all":[123],"significant":[124],"performance":[126],"environmental":[128],"factors.":[129],"Then,":[130],"based":[136],"on":[137],"simulated":[138,167],"annealing":[139],"proposed":[141,164,178,191,219],"issue.":[147],"experiment,":[150],"uses":[153],"benchmark":[154],"functions":[155],"choose":[157],"an":[158],"appropriate":[159],"parameter":[160],"configuration":[161],"approach.":[165,220],"On":[166],"maps,":[171],"evaluate":[173],"effectiveness":[175],"compared":[180],"pathplanning":[184],"strategies.":[185],"results":[187],"reveal":[188],"that":[189],"ways":[192],"can":[193],"effectively":[194],"produce":[195],"with":[200],"higher":[201],"freshness":[203],"fewer":[205],"iterations":[206],"at":[208],"lower":[210],"computing":[211],"cost,":[212],"suggesting":[213],"practical":[215],"value":[216]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}