{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T16:56:47Z","timestamp":1784134607951,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T00:00:00Z","timestamp":1701820800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,6]]},"DOI":"10.1145\/3583740.3626808","type":"proceedings-article","created":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T18:35:50Z","timestamp":1723055750000},"page":"330-335","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Empowering Digital Twin: Early Action Decision through GAN-enhanced Predictive Frame Synthesis for Autonomous Vehicles"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0144-1601","authenticated-orcid":false,"given":"Md Nahid Hasan","family":"Shuvo","sequence":"first","affiliation":[{"name":"Cyber Security Engineering, George Mason University, Fairfax, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5059-4308","authenticated-orcid":false,"given":"Qiuming","family":"Zhu","sequence":"additional","affiliation":[{"name":"Computer Science, University of Nebraska at Omaha, Omaha, Nebraska, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1121-7649","authenticated-orcid":false,"given":"Moinul","family":"Hossain","sequence":"additional","affiliation":[{"name":"Cyber Security Engineering, George Mason University, Fairfax, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,8,7]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOMSTD.011.2100004"},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of International conference on machine learning. 214--223","author":"Arjovsky Martin","year":"2017","unstructured":"Martin Arjovsky, Soumith Chintala, and L\u00e9on Bottou. 2017. Wasserstein generative adversarial networks. In Proceedings of International conference on machine learning. 214--223."},{"key":"e_1_3_2_1_4_1","volume-title":"Unsupervised learning for physical interaction through video prediction. Advances in neural information processing systems 29","author":"Finn Chelsea","year":"2016","unstructured":"Chelsea Finn, Ian Goodfellow, and Sergey Levine. 2016. Unsupervised learning for physical interaction through video prediction. Advances in neural information processing systems 29 (2016)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"e_1_3_2_1_6_1","volume-title":"Generative adversarial nets. Advances in neural information processing systems 27","author":"Goodfellow Ian","year":"2014","unstructured":"Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative adversarial nets. Advances in neural information processing systems 27 (2014)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","first-page":"18607","DOI":"10.1109\/JIOT.2022.3161677","article-title":"Collaboration as a service: Digital-twin-enabled collaborative and distributed autonomous driving","volume":"9","author":"Hui Yilong","year":"2022","unstructured":"Yilong Hui, Xiaoqing Ma, Zhou Su, Nan Cheng, Zhisheng Yin, Tom H Luan, and Ye Chen. 2022. Collaboration as a service: Digital-twin-enabled collaborative and distributed autonomous driving. IEEE Internet of Things Journal 9, 19 (2022), 18607--18619.","journal-title":"IEEE Internet of Things Journal"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","first-page":"10523","DOI":"10.1109\/ACCESS.2022.3144407","article-title":"Autonomous vehicles perception (avp) using deep learning: Modeling, assessment, and challenges","volume":"10","author":"Jebamikyous Hrag-Harout","year":"2022","unstructured":"Hrag-Harout Jebamikyous and Rasha Kashef. 2022. Autonomous vehicles perception (avp) using deep learning: Modeling, assessment, and challenges. IEEE Access 10 (2022), 10523--10535.","journal-title":"IEEE Access"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of International Conference on Machine Learning. 1771--1779","author":"Kalchbrenner Nal","year":"2017","unstructured":"Nal Kalchbrenner, A\u00e4ron Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, and Koray Kavukcuoglu. 2017. Video pixel networks. In Proceedings of International Conference on Machine Learning. 1771--1779."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_37"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2893309"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of IEEE conference on computer vision and pattern recognition. 6536--6545","author":"Liu Wen","year":"2018","unstructured":"Wen Liu, Weixin Luo, Dongze Lian, and Shenghua Gao. 2018. Future frame prediction for anomaly detection-a new baseline. In Proceedings of IEEE conference on computer vision and pattern recognition. 6536--6545."},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of IEEE Intelligent Vehicles Symposium (IV). 182--187","author":"Liu Yongkang","year":"2020","unstructured":"Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, and John HL Hansen. 2020. Sensor fusion of camera and cloud digital twin information for intelligent vehicles. In Proceedings of IEEE Intelligent Vehicles Symposium (IV). 182--187."},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of IEEE International Conference on Computer Vision. 4463--4471","author":"Liu Ziwei","year":"2017","unstructured":"Ziwei Liu, Raymond A Yeh, Xiaoou Tang, Yiming Liu, and Aseem Agarwala. 2017. Video frame synthesis using deep voxel flow. In Proceedings of IEEE International Conference on Computer Vision. 4463--4471."},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of IEEE International Conference on computer vision. 2794--2802","author":"Mao Xudong","year":"2017","unstructured":"Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley. 2017. Least squares generative adversarial networks. In Proceedings of IEEE International Conference on computer vision. 2794--2802."},{"key":"e_1_3_2_1_16_1","volume-title":"Junbo Zhao, Aditya Ramesh, Pablo Sprechmann, and Yann LeCun.","author":"Mathieu Michael F","year":"2016","unstructured":"Michael F Mathieu, Junbo Jake Zhao, Junbo Zhao, Aditya Ramesh, Pablo Sprechmann, and Yann LeCun. 2016. Disentangling factors of variation in deep representation using adversarial training. Advances in neural information processing systems 29 (2016)."},{"key":"e_1_3_2_1_17_1","volume-title":"Spatio-temporal video autoencoder with differentiable memory. arXiv preprint arXiv:1511.06309","author":"Patraucean Viorica","year":"2015","unstructured":"Viorica Patraucean, Ankur Handa, and Roberto Cipolla. 2015. Spatio-temporal video autoencoder with differentiable memory. arXiv preprint arXiv:1511.06309 (2015)."},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of IEEE Region 10 Symposium (TENSYMP). 1604--1607","author":"Hasan Shuvo Md Nahid","year":"2020","unstructured":"Md Nahid Hasan Shuvo, Mirza Mohd Shahriar Maswood, and Abdullah G Alharbi. 2020. LSRU: A novel deep learning based hybrid method to predict the workload of virtual machines in cloud data center. In Proceedings of IEEE Region 10 Symposium (TENSYMP). 1604--1607."},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of IEEE International Conference on Consumer Electronics (ICCE). 1--2.","author":"Souza Vinicius","year":"2019","unstructured":"Vinicius Souza, Robson Cruz, Walmir Silva, Sidney Lins, and Vicente Lucena. 2019. A digital twin architecture based on the industrial internet of things technologies. In Proceedings of IEEE International Conference on Consumer Electronics (ICCE). 1--2."},{"key":"e_1_3_2_1_20_1","volume-title":"Generating videos with scene dynamics. Advances in neural information processing systems 29","author":"Vondrick Carl","year":"2016","unstructured":"Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba. 2016. Generating videos with scene dynamics. Advances in neural information processing systems 29 (2016)."},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of IEEE International Conference on Computer Vision. 2849--2857","author":"Yi Zili","year":"2017","unstructured":"Zili Yi, Hao Zhang, Ping Tan, and Minglun Gong. 2017. Dualgan: Unsupervised dual learning for image-to-image translation. In Proceedings of IEEE International Conference on Computer Vision. 2849--2857."},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of International Conference on Electronics, Information, and Communication (ICEIC). 1--2.","author":"Yun Heuijee","year":"2021","unstructured":"Heuijee Yun and Daejin Park. 2021. Simulation of self-driving system by implementing digital twin with GTA5. In Proceedings of International Conference on Electronics, Information, and Communication (ICEIC). 1--2."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","first-page":"2102","DOI":"10.3390\/electronics10172102","article-title":"Virtualization of self-driving algorithms by interoperating embedded controllers on a game engine for a digital twining autonomous vehicle","volume":"10","author":"Yun Heuijee","year":"2021","unstructured":"Heuijee Yun and Daejin Park. 2021. Virtualization of self-driving algorithms by interoperating embedded controllers on a game engine for a digital twining autonomous vehicle. Electronics 10, 17 (2021), 2102.","journal-title":"Electronics"},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of IEEE International Conference on Computer Vision. 2223--2232","author":"Zhu Jun-Yan","year":"2017","unstructured":"Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros. 2017. Unpaired image-to-image translation using cycle-consistent adversarial networks. In Proceedings of IEEE International Conference on Computer Vision. 2223--2232."}],"event":{"name":"SEC '23: Eighth ACM\/IEEE Symposium on Edge Computing","location":"Wilmington DE USA","acronym":"SEC '23","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","IEEE Computer Society"]},"container-title":["Proceedings of the Eighth ACM\/IEEE Symposium on Edge Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583740.3626808","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583740.3626808","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:28Z","timestamp":1750178788000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583740.3626808"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,6]]},"references-count":23,"alternative-id":["10.1145\/3583740.3626808","10.1145\/3583740"],"URL":"https:\/\/doi.org\/10.1145\/3583740.3626808","relation":{},"subject":[],"published":{"date-parts":[[2023,12,6]]},"assertion":[{"value":"2024-08-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}