{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T01:17:26Z","timestamp":1768267046629,"version":"3.49.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,5]],"date-time":"2022-06-05T00:00:00Z","timestamp":1654387200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,5]],"date-time":"2022-06-05T00:00:00Z","timestamp":1654387200000},"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":[[2022,6,5]]},"DOI":"10.1109\/iv51971.2022.9827374","type":"proceedings-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T19:33:28Z","timestamp":1658259208000},"page":"1290-1296","source":"Crossref","is-referenced-by-count":5,"title":["Segmented Encoding for Sim2Real of RL-based End-to-End Autonomous Driving"],"prefix":"10.1109","author":[{"given":"Seung-Hwan","family":"Chung","sequence":"first","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, 193, Munji-ro, Yuseonggu,Graduate School of Mobility,Daejeon,Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seung-Hyun","family":"Kong","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, 193, Munji-ro, Yuseonggu,Graduate School of Mobility,Daejeon,Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sangjae","family":"Cho","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, 193, Munji-ro, Yuseonggu,Graduate School of Mobility,Daejeon,Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"I Made Aswin","family":"Nahrendra","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu,Robotics Program,Daejeon,Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2966414"},{"key":"ref11","first-page":"507","article-title":"Agent57: Outperforming the atari human benchmark","author":"badia","year":"2020","journal-title":"Int Conference on Machine Learning"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"ref13","first-page":"1861","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","author":"haarnoja","year":"2018","journal-title":"Int Conference on Machine Learning"},{"key":"ref14","first-page":"1587","article-title":"Addressing function approximation error in actor-critic methods","author":"fujimoto","year":"2018","journal-title":"Int Conference on Machine Learning"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X16001837"},{"key":"ref16","article-title":"Model-based reinforcement learning for atari","author":"kaiser","year":"2020","journal-title":"International Conference on Learning Representations"},{"key":"ref17","article-title":"Explaining how a deep neural network trained with end-to-end learning steers a car","author":"bojarski","year":"2017","journal-title":"arXiv preprint arXiv 1704 07911"},{"key":"ref18","first-page":"1989","article-title":"Cycada: Cycle-consistent adversarial domain adaptation","author":"hoffman","year":"2018","journal-title":"Int Conference on Machine Learning"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref28","year":"2019","journal-title":"Ublox Neo-m8p u-blox 8 gnss"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref27","year":"2019","journal-title":"Kowa c-mount 6mm f\/1 8-16 1” hc series fixed lens"},{"key":"ref3","article-title":"End to end learning for self-driving cars","author":"bojarski","year":"2016","journal-title":"arXiv preprint arXiv 1604 07316"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793742"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref8","article-title":"Interpretable end-to-end urban autonomous driving with latent deep reinforcement learning","author":"chen","year":"2020","journal-title":"arXiv preprint arXiv 2001 04786"},{"key":"ref7","article-title":"Badgr: An autonomous self-supervised learning-based navigation system","author":"kahn","year":"2020","journal-title":"arXiv preprint arXiv 2002 05155"},{"key":"ref2","article-title":"A survey of end-to-end driving: Architectures and training methods","author":"tampuu","year":"2020","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793668"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20147"},{"key":"ref20","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref22","first-page":"1","article-title":"Carla: An open urban driving simulator","author":"dosovitskiy","year":"2017","journal-title":"Conference on Robot Learning"},{"key":"ref21","first-page":"2646","article-title":"Bdd100k: A diverse driving video database with scalable annotation tooling","author":"yu","year":"2020","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref24","first-page":"720","author":"joyce","year":"2011","journal-title":"Kullback-Leibler Divergence"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102422"},{"key":"ref26","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref25","article-title":"Visualizing data using t-sne","volume":"9","author":"van der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2022 IEEE Intelligent Vehicles Symposium (IV)","location":"Aachen, Germany","start":{"date-parts":[[2022,6,4]]},"end":{"date-parts":[[2022,6,9]]}},"container-title":["2022 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9826996\/9826997\/09827374.pdf?arnumber=9827374","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T20:04:07Z","timestamp":1659989047000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9827374\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,5]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/iv51971.2022.9827374","relation":{},"subject":[],"published":{"date-parts":[[2022,6,5]]}}}