{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T21:55:41Z","timestamp":1747173341059,"version":"3.40.5"},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"8","license":[{"start":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T00:00:00Z","timestamp":1726617600000},"content-version":"unspecified","delay-in-days":48,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotica"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Performing tasks in agriculture, such as fruit monitoring or harvesting, requires perceiving the objects\u2019 spatial position. RGB-D cameras are limited under open-field environments due to lightning interferences. So, in this study, we state to answer the research question: \u201cHow can we use and control monocular sensors to perceive objects\u2019 position in the 3D task space?\u201d Towards this aim, we approached histogram filters (Bayesian discrete filters) to estimate the position of tomatoes in the tomato plant through the algorithm MonoVisual3DFilter. Two kernel filters were studied: the square kernel and the Gaussian kernel. The implemented algorithm was essayed in simulation, with and without Gaussian noise and random noise, and in a testbed at laboratory conditions. The algorithm reported a mean absolute error lower than 10 mm in simulation and 20 mm in the testbed at laboratory conditions with an assessing distance of about 0.5 m. So, the results are viable for real environments and should be improved at closer distances.<\/jats:p>","DOI":"10.1017\/s0263574724000936","type":"journal-article","created":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T13:07:11Z","timestamp":1726664831000},"page":"2528-2547","source":"Crossref","is-referenced-by-count":0,"title":["MonoVisual3DFilter: 3D tomatoes\u2019 localisation with monocular cameras using histogram filters"],"prefix":"10.1017","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3095-197X","authenticated-orcid":false,"given":"Sandro Augusto Costa","family":"Magalh\u00e3es","sequence":"first","affiliation":[]},{"given":"Filipe Neves","family":"dos Santos","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8573-3147","authenticated-orcid":false,"given":"Ant\u00f3nio Paulo","family":"Moreira","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2725-8867","authenticated-orcid":false,"given":"Jorge Manuel Miranda","family":"Dias","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2024,9,18]]},"container-title":["Robotica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0263574724000936","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T06:20:48Z","timestamp":1731392448000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0263574724000936\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":0,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["S0263574724000936"],"URL":"https:\/\/doi.org\/10.1017\/s0263574724000936","relation":{},"ISSN":["0263-5747","1469-8668"],"issn-type":[{"type":"print","value":"0263-5747"},{"type":"electronic","value":"1469-8668"}],"subject":[],"published":{"date-parts":[[2024,8]]}}}