{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T18:19:46Z","timestamp":1771697986648,"version":"3.50.1"},"reference-count":22,"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\/iros51168.2021.9636411","type":"proceedings-article","created":{"date-parts":[[2021,12,16]],"date-time":"2021-12-16T20:45:38Z","timestamp":1639687538000},"page":"162-167","source":"Crossref","is-referenced-by-count":7,"title":["Road Graphical Neural Networks for Autonomous Roundabout Driving"],"prefix":"10.1109","author":[{"given":"Timothy","family":"Ha","sequence":"first","affiliation":[]},{"given":"Gunmin","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Dohyeong","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Songhwai","family":"Oh","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref11","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref12","article-title":"Naver maps","year":"2020"},{"key":"ref13","article-title":"Robotic operating system","year":"0"},{"key":"ref14","article-title":"Demo of prius in ros\/gazebo","year":"2019"},{"key":"ref15","article-title":"Ngsim interstate 80 freeway dataset","author":"halkias","year":"2006"},{"key":"ref16","first-page":"584","article-title":"Cirl: Controllable imitative reinforcement learning for vision-based self-driving","author":"liang","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197132"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196730"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197126"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197218"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197559"},{"key":"ref6","first-page":"1","article-title":"CARLA: An open urban driving simulator","author":"dosovitskiy","year":"2017","journal-title":"Proceedings of the 1st Annual Conference on Robot Learning (CoRL)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461233"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01154"},{"key":"ref7","article-title":"Model-predictive policy learning with uncertainty regularization for driving in dense traffic","author":"henaff","year":"2019","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967708"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462978"},{"key":"ref9","first-page":"541","article-title":"Learning lane graph representations for motion forecasting","author":"liang","year":"2020","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref20","article-title":"Proximal policy optimization algorithms","author":"schulman","year":"2017"},{"key":"ref22","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume":"30","author":"maas","year":"2013","journal-title":"Proceedings of International Conference on Machine Learning (ICML)"},{"key":"ref21","article-title":"Pytorch implementations of reinforcement learning algorithms","author":"kostrikov","year":"2018"}],"event":{"name":"2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Prague, Czech Republic","start":{"date-parts":[[2021,9,27]]},"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\/09636411.pdf?arnumber=9636411","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:54:48Z","timestamp":1652201688000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9636411\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,27]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/iros51168.2021.9636411","relation":{},"subject":[],"published":{"date-parts":[[2021,9,27]]}}}