{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:13:15Z","timestamp":1777489995751,"version":"3.51.4"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"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":[[2019,10]]},"DOI":"10.1109\/uemcon47517.2019.8992966","type":"proceedings-article","created":{"date-parts":[[2020,2,14]],"date-time":"2020-02-14T08:36:46Z","timestamp":1581669406000},"page":"1089-1095","source":"Crossref","is-referenced-by-count":19,"title":["Inter-UAV Collision Avoidance using Deep-Q-Learning in Flocking Environment"],"prefix":"10.1109","author":[{"given":"Gunasekaran","family":"Raja","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sudha","family":"Anbalagan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vikraman Sathiya","family":"Narayanan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Srinivas","family":"Jayaram","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aishwarya","family":"Ganapathisubramaniyan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1017\/S095252380000136X"},{"key":"ref11","first-page":"730","article-title":"Very deep convolutional neural network-based image classification using small training sample size","author":"liu","year":"2015","journal-title":"Proc 3rd IAPR Asian Conference on Pattern Recognition (ACPR)"},{"key":"ref12","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"CoRR abs\/1409 1556"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2509646"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2658940"},{"key":"ref15","first-page":"11061114","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref16","first-page":"7","article-title":"Learning multiple layers of features from tiny images","volume":"1","author":"krizhevsky","year":"2009","journal-title":"Computer Science Department University of Toronto Tech Rep"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref18","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"Computer Vision -ECCV '96 Springer"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICInfA.2015.7279738"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CONIELECOMP.2018.8327189"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICoAC44903.2018.8939074"},{"key":"ref5","first-page":"739","article-title":"Off-road obstacle avoidance through end-to-end learning","author":"muller","year":"2006","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6225196"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460542"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2797538"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICUFN.2017.7993842"},{"key":"ref9","first-page":"745745","article-title":"Postal address block location using a convolutional locator network","author":"wolf","year":"1994","journal-title":"Advances in neural information processing systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2592325"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1177\/0278364916632065"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759252"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50035-0"},{"key":"ref23","article-title":"Assignment algorithms for variable robot formations","author":"akella","year":"0","journal-title":"Intl Workshop on the Algorithmic Foundations of Robotics"}],"event":{"name":"2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","location":"New York City, NY, USA","start":{"date-parts":[[2019,10,10]]},"end":{"date-parts":[[2019,10,12]]}},"container-title":["2019 IEEE 10th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8966519\/8992916\/08992966.pdf?arnumber=8992966","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T20:22:01Z","timestamp":1658262121000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8992966\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/uemcon47517.2019.8992966","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}