{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T08:01:35Z","timestamp":1767772895007,"version":"3.28.0"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,27]]},"DOI":"10.1109\/iros51168.2021.9635969","type":"proceedings-article","created":{"date-parts":[[2021,12,16]],"date-time":"2021-12-16T20:45:38Z","timestamp":1639687538000},"page":"3421-3428","source":"Crossref","is-referenced-by-count":32,"title":["Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows"],"prefix":"10.1109","author":[{"given":"Diego","family":"Aghi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simone","family":"Cerrato","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vittorio","family":"Mazzia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcello","family":"Chiaberge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1007\/978-0-387-73003-5_196"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1145\/3343031.3350535"},{"year":"2014","author":"chen","article-title":"Semantic image segmentation with deep convolutional nets and fully connected crfs","key":"ref33"},{"key":"ref32","first-page":"7132","article-title":"Squeeze-and-excitation networks","author":"hu","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1109\/CVPR.2018.00474"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1109\/ICCV.2019.00140"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.3390\/machines8020027"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1109\/TPAMI.2017.2699184","article-title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs","volume":"40","author":"chen","year":"2017","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"year":"2017","author":"chen","article-title":"Rethinking atrous convolution for semantic image segmentation","key":"ref34"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1007\/978-3-030-48989-2_51"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.3390\/rs10121907"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/ICARSC.2015.42"},{"key":"ref12","article-title":"Automating orchards: A system of autonomous tractors for orchard maintenance","author":"moorehead","year":"2012","journal-title":"Proceedings of the IEEE International Conference of Intelligent Robots and Systems Workshop on Agricultural Robotics"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/ACC.2011.5991403"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1016\/j.eaef.2015.09.002"},{"key":"ref15","article-title":"Gps-free localisation and navigation of an unmanned ground vehicle for yield forecasting in a vineyard","author":"marden","year":"2014","journal-title":"Recent Advances in Agricultural Robotics International workshop collocated with the 13th International Conference on Intelligent Autonomous Systems (IAS-13)"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1016\/j.ifacol.2018.08.401"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1016\/j.compag.2019.03.037"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1016\/j.compag.2018.02.016"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/LGRS.2017.2681128"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1016\/j.compag.2021.106091"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.13031\/2013.42113"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1155\/2019\/7630926"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/SYSTEMS.2007.374688"},{"year":"2018","author":"callegati","article-title":"Autonomous tracked agricultural ugv configuration and navigation experimental results","key":"ref6"},{"key":"ref29","article-title":"Gps-based autonomous navigation of unmanned ground vehicles in precision agriculture applications","author":"cerrato","year":"2020","journal-title":"Master’s thesis Politecnico di Torino"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1071\/FP16163"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1016\/j.compag.2018.08.034"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1016\/j.compag.2018.12.046"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1007\/s11370-010-0078-z"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1016\/j.compind.2018.03.008"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1002\/rob.21525"},{"key":"ref20","first-page":"1","article-title":"Semantic segmentation of mixed crops using deep convolutional neural network","author":"mortensen","year":"2016","journal-title":"CIGR-AgEng Conference 26-29 June 2016 Aarhus Denmark Abstracts and Full papers Organising Committee CIGR 2016"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1007\/978-3-319-00065-7_50"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.3390\/app10010238"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.3390\/s20092530"},{"doi-asserted-by":"publisher","key":"ref42","DOI":"10.1007\/s11263-015-0816-y"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/IGARSS.2015.7325900"},{"doi-asserted-by":"publisher","key":"ref41","DOI":"10.1186\/s40537-016-0043-6"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.3390\/rs8040276"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.3390\/rs70505584"},{"key":"ref43","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"}],"event":{"name":"2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2021,9,27]]},"location":"Prague, Czech Republic","end":{"date-parts":[[2021,10,1]]}},"container-title":["2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9635848\/9635849\/09635969.pdf?arnumber=9635969","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:54:44Z","timestamp":1652201684000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9635969\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,27]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/iros51168.2021.9635969","relation":{},"subject":[],"published":{"date-parts":[[2021,9,27]]}}}