Empowering Digital Twin: Early Action Decision through GAN-enhanced Predictive Frame Synthesis for Autonomous Vehicles

Author:

Shuvo Md Nahid Hasan1ORCID,Zhu Qiuming2ORCID,Hossain Moinul1ORCID

Affiliation:

1. Cyber Security Engineering, George Mason University, Fairfax, Virginia, USA

2. Computer Science, University of Nebraska at Omaha, Omaha, Nebraska, USA

Publisher

ACM

Reference23 articles.

1. Digital Twin Analysis to Promote Safety and Security in Autonomous Vehicles

2. Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein generative adversarial networks. In Proceedings of International conference on machine learning. 214--223.

3. Chelsea Finn, Ian Goodfellow, and Sergey Levine. 2016. Unsupervised learning for physical interaction through video prediction. Advances in neural information processing systems 29 (2016).

4. Vision meets robotics: The KITTI dataset

5. 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).

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