{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T10:58:44Z","timestamp":1753354724277,"version":"3.37.3"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T00:00:00Z","timestamp":1605052800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T00:00:00Z","timestamp":1605052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T00:00:00Z","timestamp":1605052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100012725","name":"Tecnol\u00f3gico Nacional de M\u00e9xico","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100012725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,11]]},"DOI":"10.1109\/cce50788.2020.9299181","type":"proceedings-article","created":{"date-parts":[[2020,12,25]],"date-time":"2020-12-25T22:08:09Z","timestamp":1608934089000},"page":"1-6","source":"Crossref","is-referenced-by-count":4,"title":["Self-driving through a Time-distributed Convolutional Recurrent Neural Network"],"prefix":"10.1109","author":[{"given":"Antonio","family":"Luna-Alvarez","sequence":"first","affiliation":[]},{"given":"Dante","family":"Mujica-Vargas","sequence":"additional","affiliation":[]},{"given":"Manuel","family":"Matuz-Cruz","sequence":"additional","affiliation":[]},{"given":"Jean Marie","family":"Vianney Kinani","sequence":"additional","affiliation":[]},{"given":"Eduardo","family":"Ramos-Diaz","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70338-1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3180155.3180220"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2814818"},{"key":"ref14","article-title":"Recurrent convolutional neural networks for scene labeling","author":"pinheiro","year":"2014","journal-title":"31st International Conference on Machine Learning (ICML)"},{"article-title":"A disciplined approach to neural network hyper-parameters: Part 1-learning rate, batch size, momentum, and weight decay","year":"2018","author":"smith","key":"ref15"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106258"},{"journal-title":"A self-driving car simulator built with unity","year":"2018","author":"udacity","key":"ref18"},{"article-title":"End to end learning for self-driving cars","year":"2016","author":"bojarski","key":"ref19"},{"key":"ref4","article-title":"Brain-inspired cognitive model with attention for self-driving cars","author":"chen","year":"2017","journal-title":"IEEE Transactions on Cognitive and Developmental Systems"},{"article-title":"Deeppicar: A low-cost deep neural network-based autonomous car","year":"2017","author":"bechtel","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2020.113088"},{"key":"ref5","article-title":"End to end learning for a driving simulator","volume":"2","author":"alexeev","year":"2018","journal-title":"foreignlanguage russian Reports of the Belarusian State University of Informatics and Radioelectronics"},{"key":"ref8","first-page":"1822","article-title":"Architectural complexity measures of recurrent neural networks","author":"zhang","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-3096-1"},{"journal-title":"Autonomous Vehicle Implementation Predictions","year":"2017","author":"litman","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/DSN-W.2017.14"},{"key":"ref9","article-title":"Redes neuronales recurrentes para el an&#x00E1;lisis de secuencias","volume":"1","author":"bonet cruz","year":"2007","journal-title":"Revista Cubana de Ciencias Inform&#x00E1;ticas"},{"article-title":"Explaining how a deep neural network trained with end-to-end learning steers a car","year":"2017","author":"bojarski","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_36"}],"event":{"name":"2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","start":{"date-parts":[[2020,11,11]]},"location":"Mexico City, Mexico","end":{"date-parts":[[2020,11,13]]}},"container-title":["2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9298900\/9299112\/09299181.pdf?arnumber=9299181","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:57:56Z","timestamp":1656345476000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9299181\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,11]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/cce50788.2020.9299181","relation":{},"subject":[],"published":{"date-parts":[[2020,11,11]]}}}