{"id":"https://openalex.org/W2750986051","doi":"https://doi.org/10.1109/icar.2017.8023640","title":"Enabling \u223c100fps detection on a landing unmanned aircraft for its on-ground vision-based recovery","display_name":"Enabling \u223c100fps detection on a landing unmanned aircraft for its on-ground vision-based recovery","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2750986051","doi":"https://doi.org/10.1109/icar.2017.8023640","mag":"2750986051"},"language":"en","primary_location":{"id":"doi:10.1109/icar.2017.8023640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar.2017.8023640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 18th International Conference on Advanced Robotics (ICAR)","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/A5074904249","display_name":"Zhengjiang Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengjiang Cao","raw_affiliation_strings":["College of Mechatronics & Automation, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechatronics & Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022357849","display_name":"Kuang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuang Zhao","raw_affiliation_strings":["College of Mechatronics & Automation, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechatronics & Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055651722","display_name":"Qiang Fang","orcid":"https://orcid.org/0000-0002-5063-6889"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Fang","raw_affiliation_strings":["College of Mechatronics & Automation, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechatronics & Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008233279","display_name":"Weiwei Kong","orcid":"https://orcid.org/0000-0003-2144-4236"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Kong","raw_affiliation_strings":["College of Mechatronics & Automation, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechatronics & Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048100508","display_name":"Dengqing Tang","orcid":"https://orcid.org/0000-0002-8781-9101"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengqing Tang","raw_affiliation_strings":["College of Mechatronics & Automation, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechatronics & Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076233549","display_name":"Tianjiang Hu","orcid":"https://orcid.org/0000-0002-0587-6752"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjiang Hu","raw_affiliation_strings":["College of Mechatronics & Automation, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechatronics & Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47022092,"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":"407","last_page":"411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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":0.9979000091552734,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7283959984779358},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6966230273246765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6750865578651428},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6494303345680237},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5848228335380554},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.47575730085372925},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4464784562587738},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43765637278556824},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4303617477416992},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33593523502349854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18057581782341003}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7283959984779358},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6966230273246765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6750865578651428},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6494303345680237},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5848228335380554},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.47575730085372925},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4464784562587738},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43765637278556824},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4303617477416992},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33593523502349854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18057581782341003},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"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/icar.2017.8023640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar.2017.8023640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 18th International Conference on Advanced Robotics (ICAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1554825167","https://openalex.org/W1668579225","https://openalex.org/W1974204180","https://openalex.org/W1992173923","https://openalex.org/W2016053056","https://openalex.org/W2016689188","https://openalex.org/W2071662473","https://openalex.org/W2102605133","https://openalex.org/W2116040950","https://openalex.org/W2124211486","https://openalex.org/W2148182166","https://openalex.org/W2155893237","https://openalex.org/W2176950688","https://openalex.org/W2291088924","https://openalex.org/W2341833211","https://openalex.org/W2513672819","https://openalex.org/W2613718673","https://openalex.org/W2963037989","https://openalex.org/W2964253307","https://openalex.org/W3098217967","https://openalex.org/W6620707391","https://openalex.org/W6654524480","https://openalex.org/W6668357312","https://openalex.org/W6703518758"],"related_works":["https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W2977517636","https://openalex.org/W1969179582","https://openalex.org/W4310880131","https://openalex.org/W2810129309"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,59],"deep":[4,62,90],"learning":[5,63,91,107],"inspired":[6],"solution":[7],"is":[8,80,125],"proposed":[9],"and":[10,15,93,102],"developed":[11],"to":[12,40,84,99],"enable":[13],"timeliness":[14],"practicality":[16],"of":[17,104],"the":[18,31,44,69,73,88,105,114,122,128],"pre-existing":[19],"ground":[20,32],"stereo":[21],"vision":[22],"guidance":[23,33],"system":[24,78],"for":[25],"flxed-wing":[26],"UAVs'":[27],"safe":[28],"landing.":[29],"Since":[30],"prototype":[34],"was":[35],"restricted":[36],"within":[37],"applications":[38],"due":[39],"its":[41],"untimeliness,":[42],"eventually":[43],"vision-based":[45],"detection":[46,67,108,115],"less":[47],"than":[48],"15":[49],"fps":[50,118],"(frame":[51],"per":[52],"second).":[53],"Under":[54],"such":[55],"circumstances,":[56],"we":[57],"employ":[58],"regression":[60],"based":[61],"algorithm":[64],"into":[65],"automatic":[66],"on":[68],"flying":[70],"aircraft":[71],"in":[72,127],"landing":[74],"sequential":[75],"images.":[76],"The":[77],"architecture":[79],"upgraded":[81],"so":[82],"as":[83],"be":[85],"compatible":[86],"with":[87],"novel":[89],"requests,":[92],"furthermore,":[94],"annotated":[95],"datasets":[96],"are":[97],"conducted":[98],"support":[100],"training":[101],"testing":[103],"regression-based":[106],"algorithm.":[109],"Experimental":[110],"results":[111],"validate":[112],"that":[113],"attaches":[116],"100":[117],"or":[119],"more":[120],"while":[121],"localization":[123],"accuracy":[124],"kept":[126],"same":[129],"level.":[130]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
