{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T22:23:22Z","timestamp":1730240602556,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,11,16]],"date-time":"2023-11-16T00:00:00Z","timestamp":1700092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,16]],"date-time":"2023-11-16T00:00:00Z","timestamp":1700092800000},"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":[[2023,11,16]]},"DOI":"10.1109\/icecet58911.2023.10389244","type":"proceedings-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T18:28:53Z","timestamp":1705948133000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Sim-to-Real Domain Adaptation of Infrastructure Sensor Lidar Point Clouds using Generative Adversarial Networks"],"prefix":"10.1109","author":[{"given":"Amarin","family":"Kloeker","sequence":"first","affiliation":[{"name":"Institute for Automotive Engineering, RWTH Aachen University,Aachen,Germany"}]},{"given":"Yangyi","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute for Automotive Engineering, RWTH Aachen University,Aachen,Germany"}]},{"given":"Mischa","family":"Maier","sequence":"additional","affiliation":[{"name":"Institute for Automotive Engineering, RWTH Aachen University,Aachen,Germany"}]},{"given":"Lutz","family":"Eckstein","sequence":"additional","affiliation":[{"name":"Institute for Automotive Engineering, RWTH Aachen University,Aachen,Germany"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref2","article-title":"One million scenes for autonomous driving: Once dataset","author":"Mao","year":"2021","journal-title":"arXiv preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IV55152.2023.10186719"},{"key":"ref4","first-page":"1","article-title":"CARLA: An open urban driving simulator","volume-title":"Proceedings of the 1st Annual Conference on Robot Learning","author":"Dosovitskiy","year":"2017"},{"key":"ref5","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"Tzeng","year":"2014","journal-title":"arXiv preprint"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01118"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref9","first-page":"1989","article-title":"CyCADA: Cycle-consistent adversarial domain adaptation","volume-title":"Proceedings of the 35th International Conference on Machine Learning, ser. Proceedings of Machine Learning Research","volume":"80","author":"Hoffman","year":"2018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00088"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IV48863.2021.9575715"},{"key":"ref15","article-title":"How to build a highly accurate digital twin-intelligent infrastructure in the corridor for new mobility-accord","author":"Kloeker","year":"2021","journal-title":"30th Aachen Colloquium Sustainable Mobility 2021"},{"key":"ref16","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","volume-title":"software available from","author":"Abadi","year":"2015"},{"key":"ref17","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"Ulyanov","year":"2016","journal-title":"arXiv preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053947"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3251650"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_2"},{"key":"ref21","article-title":"Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project hdv-mess","author":"Kloeker","year":"2021","journal-title":"arXiv preprint"}],"event":{"name":"2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)","start":{"date-parts":[[2023,11,16]]},"location":"Cape Town, South Africa","end":{"date-parts":[[2023,11,17]]}},"container-title":["2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10389177\/10389181\/10389244.pdf?arnumber=10389244","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T02:28:04Z","timestamp":1706754484000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10389244\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,16]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icecet58911.2023.10389244","relation":{},"subject":[],"published":{"date-parts":[[2023,11,16]]}}}