{"id":"https://openalex.org/W2741377124","doi":"https://doi.org/10.1109/civemsa.2017.7995333","title":"Towards a vision-based targeting system for counter unmanned aerial systems (CUAS)","display_name":"Towards a vision-based targeting system for counter unmanned aerial systems (CUAS)","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2741377124","doi":"https://doi.org/10.1109/civemsa.2017.7995333","mag":"2741377124"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa.2017.7995333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2017.7995333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","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/A5004452229","display_name":"Amy R. Wagoner","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amy R. Wagoner","raw_affiliation_strings":["M2M Lab, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"M2M Lab, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052960787","display_name":"Daniel K. Schrader","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel K. Schrader","raw_affiliation_strings":["M2M Lab, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"M2M Lab, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033151632","display_name":"Eric T. Matson","orcid":"https://orcid.org/0000-0001-9200-4903"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric T. Matson","raw_affiliation_strings":["M2M Lab, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"M2M Lab, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004452229"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":2.1771,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89000845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"237","last_page":"242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9922999739646912,"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":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7354394197463989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5510344505310059},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5200549960136414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5021557807922363},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4369274973869324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7354394197463989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5510344505310059},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5200549960136414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5021557807922363},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4369274973869324},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/civemsa.2017.7995333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2017.7995333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1519571160","https://openalex.org/W1564274133","https://openalex.org/W1578294898","https://openalex.org/W1970244581","https://openalex.org/W2019114453","https://openalex.org/W2047232995","https://openalex.org/W2054618027","https://openalex.org/W2061377773","https://openalex.org/W2061605453","https://openalex.org/W2075110355","https://openalex.org/W2079583266","https://openalex.org/W2089840935","https://openalex.org/W2117229510","https://openalex.org/W2119270338","https://openalex.org/W2122052825","https://openalex.org/W2130103520","https://openalex.org/W2139753317","https://openalex.org/W2148448903","https://openalex.org/W2247564968","https://openalex.org/W2465948386","https://openalex.org/W2917442576","https://openalex.org/W3141505394","https://openalex.org/W4301833474","https://openalex.org/W6679388247"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicles":[2],"(UAVs)":[3],"are":[4],"rapidly":[5],"increasing":[6],"in":[7,131,153],"popularity.":[8],"Despite":[9],"attempts":[10],"at":[11],"regulation,":[12],"stopping":[13],"small,":[14],"Class":[15],"1":[16],"(typically":[17],"hobby-grade)":[18],"UAVs":[19],"from":[20],"entering":[21],"protected":[22],"or":[23],"sensitive":[24],"airspace":[25],"is":[26,46,55,57,74,88,133,151],"an":[27,67,144],"unsolved":[28],"problem.":[29],"Many":[30],"companies":[31],"and":[32,65,94,103,126,149],"researchers":[33],"offer":[34,108,189],"a":[35,38,58,72,85,110,115,118,129,139,156,185],"piece":[36],"of":[37,42,97,114,163,180],"solution,":[39],"but":[40],"as":[41,79,168],"this":[43],"writing,":[44],"there":[45],"no":[47],"publicly":[48],"available,":[49,77],"feasible,":[50],"end-to-end":[51],"solution.":[52,111],"Ultimately,":[53],"what":[54],"needed":[56],"sensor-based":[59],"system":[60,73,119],"that":[61,82,120],"autonomously":[62],"detects,":[63],"tracks,":[64],"neutralizes/disables":[66],"incoming":[68],"UAV.":[69],"However,":[70],"such":[71,109],"currently":[75],"not":[76],"so":[78],"development":[80],"toward":[81],"goal":[83],"continues,":[84],"temporary":[86],"solution":[87,137],"required.":[89],"Augmenting":[90],"the":[91,161,164,169,178,193],"skill,":[92],"dexterity,":[93],"processing":[95],"power":[96],"human":[98],"pilots":[99],"with":[100,143,166,184],"inexpensive":[101,141],"cameras":[102],"computer":[104,122,158,182],"vision":[105,123,183],"algorithms":[106],"can":[107],"The":[112,135,147],"foundations":[113],"framework":[116],"for":[117],"uses":[121],"to":[124,160,188,192],"target":[125,130],"ultimately":[127],"destroy":[128],"mid-air":[132],"introduced.":[134],"proposed":[136],"utilizes":[138],"light-weight,":[140],"UAV":[142],"on-board":[145],"camera.":[146],"detection":[148],"tracking":[150],"performed":[152],"real-time":[154],"on":[155],"companion":[157],"mounted":[159],"frame":[162],"vehicle,":[165],"ROS":[167],"primary":[170],"communication":[171],"infrastructure.":[172],"Initial":[173],"simulations":[174],"provide":[175],"insight":[176],"into":[177],"feasibility":[179],"using":[181],"monocular":[186],"camera":[187],"reliable":[190],"assistance":[191],"pilot.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}