{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T19:51:54Z","timestamp":1783972314878,"version":"3.55.0"},"reference-count":35,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Spanish Ministry of Science","award":["DPI2014-60139-R"],"award-info":[{"award-number":["DPI2014-60139-R"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Deep learning is recently showing outstanding results for solving a wide variety of robotic tasks in the areas of perception, planning, localization, and control. Its excellent capabilities for learning representations from the complex data acquired in real environments make it extremely suitable for many kinds of autonomous robotic applications. In parallel, Unmanned Aerial Vehicles (UAVs) are currently being extensively applied for several types of civilian tasks in applications going from security, surveillance, and disaster rescue to parcel delivery or warehouse management. In this paper, a thorough review has been performed on recent reported uses and applications of deep learning for UAVs, including the most relevant developments as well as their performances and limitations. In addition, a detailed explanation of the main deep learning techniques is provided. We conclude with a description of the main challenges for the application of deep learning for UAV-based solutions.<\/jats:p>","DOI":"10.1155\/2017\/3296874","type":"journal-article","created":{"date-parts":[[2017,8,14]],"date-time":"2017-08-14T17:02:20Z","timestamp":1502730140000},"page":"1-13","source":"Crossref","is-referenced-by-count":295,"title":["A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6711-7279","authenticated-orcid":true,"given":"Adrian","family":"Carrio","sequence":"first","affiliation":[{"name":"Computer Vision and Aerial Robotics Group, Centre for Automation and Robotics (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Calle Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos","family":"Sampedro","sequence":"additional","affiliation":[{"name":"Computer Vision and Aerial Robotics Group, Centre for Automation and Robotics (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Calle Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alejandro","family":"Rodriguez-Ramos","sequence":"additional","affiliation":[{"name":"Computer Vision and Aerial Robotics Group, Centre for Automation and Robotics (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Calle Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pascual","family":"Campoy","sequence":"additional","affiliation":[{"name":"Computer Vision and Aerial Robotics Group, Centre for Automation and Robotics (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Calle Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1971.4308320"},{"issue":"2","key":"2","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/0893-6080(88)90014-7","volume":"1","year":"1988","journal-title":"Neural Networks"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2013.50"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"7"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.3390\/s151229861"},{"key":"13","first-page":"1","year":"2017","journal-title":"Journal of Intelligent & Robotic Systems"},{"key":"14","volume":"45 (37)","year":"1997"},{"key":"15","year":"2016"},{"key":"18","year":"2016"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"20","first-page":"153","volume":"19","year":"2007","journal-title":"Advances in Neural Information Processing Systems"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760128018"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1126\/science.7761831"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"25","first-page":"3371","volume":"11","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2008.11.006"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913495721"},{"key":"29","volume":"1","year":"1998"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"issue":"39","key":"34","first-page":"1","volume":"17","year":"2016","journal-title":"Journal of Machine Learning Research"},{"key":"50","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2015.2509024"},{"key":"40","first-page":"91","volume-title":"Faster R-CNN: towards real-time object detection with region proposal networks","volume":"28","year":"2015"},{"key":"53","doi-asserted-by":"publisher","DOI":"10.3390\/rs9010022"},{"key":"54","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2651944"},{"key":"47","doi-asserted-by":"publisher","DOI":"10.3390\/rs71114680"},{"key":"51","doi-asserted-by":"publisher","DOI":"10.3390\/rs61212037"},{"key":"66","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2651163"},{"key":"70","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44636-3_2"},{"key":"37","first-page":"396","volume-title":"Handwritten digit recognition with a back-propagation network","volume":"2","year":"1990"},{"key":"57","doi-asserted-by":"publisher","DOI":"10.5539\/mas.v9n5p1"},{"key":"58","doi-asserted-by":"publisher","DOI":"10.3390\/rs9020100"},{"key":"61","volume-title":"Technion aerial systems 2016","year":"2016"},{"key":"73","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21423"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2017\/3296874.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2017\/3296874.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2017\/3296874.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,8,14]],"date-time":"2017-08-14T17:02:25Z","timestamp":1502730145000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/js\/2017\/3296874\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":35,"alternative-id":["3296874","3296874"],"URL":"https:\/\/doi.org\/10.1155\/2017\/3296874","relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"value":"1687-725X","type":"print"},{"value":"1687-7268","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}