{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:31:57Z","timestamp":1760243517821,"version":"build-2065373602"},"reference-count":32,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2012,1,12]],"date-time":"2012-01-12T00:00:00Z","timestamp":1326326400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper describes the target detection algorithm for the image processor of a vision-based system that is installed onboard an unmanned helicopter. It has been developed in the framework of a project of the French national aerospace research center Office National d\u2019Etudes et de Recherches A\u00e9rospatiales (ONERA) which aims at developing an air-to-ground target tracking mission in an unknown urban environment. In particular, the image processor must detect targets and estimate ground motion in proximity of the detected target position. Concerning the target detection function, the analysis has dealt with realizing a corner detection algorithm and selecting the best choices in terms of edge detection methods, filtering size and type and the more suitable criterion of detection of the points of interest in order to obtain a very fast algorithm which fulfills the computation load requirements. The compared criteria are the Harris-Stephen and the Shi-Tomasi, ones, which are the most widely used in literature among those based on intensity. Experimental results which illustrate the performance of the developed algorithm and demonstrate that the detection time is fully compliant with the requirements of the real-time system are discussed.<\/jats:p>","DOI":"10.3390\/s120100863","type":"journal-article","created":{"date-parts":[[2012,1,12]],"date-time":"2012-01-12T11:22:00Z","timestamp":1326367320000},"page":"863-877","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Real Time Corner Detection for Miniaturized Electro-Optical Sensors Onboard Small Unmanned Aerial Systems"],"prefix":"10.3390","volume":"12","author":[{"given":"Lidia","family":"Forlenza","sequence":"first","affiliation":[{"name":"Department of Aerospace Engineering (DIAS), University of Naples \u201cFederico II\u201d, P.le Tecchio 80, Naples I80125, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Carton","sequence":"additional","affiliation":[{"name":"Department of Systems Control and Flight Dynamics (DCSD), ONERA, Toulouse 31055, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8843-0109","authenticated-orcid":false,"given":"Domenico","family":"Accardo","sequence":"additional","affiliation":[{"name":"Department of Aerospace Engineering (DIAS), University of Naples \u201cFederico II\u201d, P.le Tecchio 80, Naples I80125, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2205-3077","authenticated-orcid":false,"given":"Giancarmine","family":"Fasano","sequence":"additional","affiliation":[{"name":"Department of Aerospace Engineering (DIAS), University of Naples \u201cFederico II\u201d, P.le Tecchio 80, Naples I80125, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Moccia","sequence":"additional","affiliation":[{"name":"Department of Aerospace Engineering (DIAS), University of Naples \u201cFederico II\u201d, P.le Tecchio 80, Naples I80125, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2012,1,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/MPRV.2010.54","article-title":"Wildfire monitoring using a mixed air-ground mobile network","volume":"9","author":"Barrado","year":"2011","journal-title":"IEEE Pervasive Comput"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Lanillos, P., Ruz, J.J., Pajares, G., and de la Cruz, J.M. 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Chapter 3,."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/12\/1\/863\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:48:28Z","timestamp":1760219308000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/12\/1\/863"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,1,12]]},"references-count":32,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2012,1]]}},"alternative-id":["s120100863"],"URL":"https:\/\/doi.org\/10.3390\/s120100863","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2012,1,12]]}}}