{"id":"https://openalex.org/W4321606909","doi":"https://doi.org/10.1109/comsnets56262.2023.10041346","title":"Finding Survivors in a Terrestrial Region: A Solution to the Unmanned Aerial Vehicle Trajectory Planning Problem","display_name":"Finding Survivors in a Terrestrial Region: A Solution to the Unmanned Aerial Vehicle Trajectory Planning Problem","publication_year":2023,"publication_date":"2023-01-03","ids":{"openalex":"https://openalex.org/W4321606909","doi":"https://doi.org/10.1109/comsnets56262.2023.10041346"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets56262.2023.10041346","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comsnets56262.2023.10041346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS)","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/A5009445264","display_name":"K Santhosh Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I114845381","display_name":"National Institute of Technology Calicut","ror":"https://ror.org/03yyd7552","country_code":"IN","type":"education","lineage":["https://openalex.org/I114845381"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K Santhosh Kumar","raw_affiliation_strings":["National Institute of Technology,Department of Computer Science and Engineering,Calicut","Department of Computer Science and Engineering, National Institute of Technology, Calicut"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology,Department of Computer Science and Engineering,Calicut","institution_ids":["https://openalex.org/I114845381"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology, Calicut","institution_ids":["https://openalex.org/I114845381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046711758","display_name":"Kumar P Arun Raj","orcid":null},"institutions":[{"id":"https://openalex.org/I114845381","display_name":"National Institute of Technology Calicut","ror":"https://ror.org/03yyd7552","country_code":"IN","type":"education","lineage":["https://openalex.org/I114845381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kumar P Arun Raj","raw_affiliation_strings":["National Institute of Technology,Department of Computer Science and Engineering,Calicut","Department of Computer Science and Engineering, National Institute of Technology, Calicut"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology,Department of Computer Science and Engineering,Calicut","institution_ids":["https://openalex.org/I114845381"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology, Calicut","institution_ids":["https://openalex.org/I114845381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009445264"],"corresponding_institution_ids":["https://openalex.org/I114845381"],"apc_list":null,"apc_paid":null,"fwci":0.246,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48550561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"474","last_page":"476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9805999994277954,"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/T12158","display_name":"Guidance and Control Systems","score":0.9688000082969666,"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/waypoint","display_name":"Waypoint","score":0.9864975214004517},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.8265275955200195},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.7536879777908325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5963231921195984},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.5474298000335693},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5465372800827026},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45207783579826355},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4267757833003998},{"id":"https://openalex.org/keywords/graph-traversal","display_name":"Graph traversal","score":0.4103904962539673},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3641773760318756},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27452021837234497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23822760581970215},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.11619338393211365},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11303767561912537}],"concepts":[{"id":"https://openalex.org/C2781271823","wikidata":"https://www.wikidata.org/wiki/Q138081","display_name":"Waypoint","level":2,"score":0.9864975214004517},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.8265275955200195},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.7536879777908325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5963231921195984},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.5474298000335693},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5465372800827026},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45207783579826355},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4267757833003998},{"id":"https://openalex.org/C96333769","wikidata":"https://www.wikidata.org/wiki/Q907955","display_name":"Graph traversal","level":3,"score":0.4103904962539673},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3641773760318756},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27452021837234497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23822760581970215},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.11619338393211365},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11303767561912537},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets56262.2023.10041346","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comsnets56262.2023.10041346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G7286775967","display_name":null,"funder_award_id":"MTR/2021/000217","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2973697444","https://openalex.org/W3032929649","https://openalex.org/W3036252686","https://openalex.org/W3037798633","https://openalex.org/W3172086257","https://openalex.org/W3198132193","https://openalex.org/W3201004775","https://openalex.org/W3217565751","https://openalex.org/W4254342672"],"related_works":["https://openalex.org/W2200188075","https://openalex.org/W4230405657","https://openalex.org/W4254594467","https://openalex.org/W4252596799","https://openalex.org/W244044452","https://openalex.org/W2552915643","https://openalex.org/W3213135344","https://openalex.org/W3183956626","https://openalex.org/W2152421698","https://openalex.org/W2366394613"],"abstract_inverted_index":{"Unmanned":[0],"Aerial":[1],"Vehicles":[2],"(UAVs)":[3],"are":[4,28,59,137],"often":[5],"employed":[6],"for":[7,78,96,112],"a":[8,31,66,74,92,100,123,158],"wide":[9],"range":[10],"of":[11,161],"tasks":[12],"such":[13],"as":[14,172,174],"military,":[15],"reconnais-sance,":[16],"commercial,":[17],"agriculture,":[18],"disaster":[19,32],"management,":[20],"product":[21],"delivery,":[22],"research,":[23],"etc.":[24],"Among":[25],"these,":[26],"drones":[27],"crucial":[29],"during":[30],"since":[33],"they":[34],"must":[35],"assess":[36],"the":[37,42,45,63,104,114,120,132,146,164,175],"damage":[38],"and":[39,84,118],"quickly":[40],"locate":[41],"survivors":[43,64,98],"under":[44],"rubble.":[46],"Drones":[47],"fly":[48],"autonomously":[49],"or":[50],"operated":[51],"by":[52],"remote":[53],"pilots.":[54],"In":[55,87,103],"autonomous":[56],"drones,":[57],"trajectories":[58],"programmed":[60],"to":[61,73,129],"identify":[62],"in":[65,99,119,139,157],"given":[67],"coverage":[68,80],"area.":[69],"This":[70],"is":[71,116,127,149,171],"mapped":[72],"trajectory":[75],"planning":[76],"problem":[77],"complete":[79],"with":[81],"minimal":[82,85],"time":[83,141],"energy.":[86],"this":[88],"paper,":[89],"we":[90],"propose":[91],"novel":[93],"two-stage":[94],"algorithm":[95,111,126,155,170],"finding":[97],"terrestrial":[101],"region.":[102],"first":[105],"stage,":[106,122],"an":[107],"efficient":[108,173],"waypoint":[109,153],"generation":[110,154],"locating":[113],"waypoints":[115,162],"designed":[117,128],"second":[121],"column-by-column":[124],"traversal":[125,169],"effectively":[130],"traverse":[131],"generated":[133],"waypoints.":[134],"The":[135],"experiments":[136],"conducted":[138],"real":[140],"using":[142],"Tello":[143],"drones.":[144],"From":[145],"experiments,":[147],"it":[148],"inferred":[150],"that":[151],"our":[152],"results":[156],"lower":[159],"number":[160],"than":[163],"other":[165],"existing":[166,176],"techniques.":[167],"Our":[168],"spiral":[177],"algorithm.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}