English(EN) GAN-Based Semantic Communication for Image Transmission in IoV

GANs提升车联网图像传输性能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-31 04:00

研究人员开发了一种新的基于生成对抗网络（GAN）的语义通信框架，旨在提高车联网（IoV）中图像传输的效率和保真度。该框架根据驾驶安全优先考虑语义信息，并据此分配比特和设计损失函数。该系统旨在从损坏的语义标签中重建高质量图像，在Cityscapes数据集上，即使在加性高斯白噪声和瑞利信道等挑战性信道条件下，也比现有方法表现出更优越的性能。 AI

影响这项研究可能为自动驾驶系统带来更强大、更高效的视觉数据传输。

排序理由学术论文，详细介绍了一种新颖的技术方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Ruixing Ren, Shan Chen, Junhui Zhao, Xiaoke Sun · 2026-08-31 04:00

基于GAN的语义通信在车联网图像传输中的应用

arXiv:2608.27989v1 Announce Type: new Abstract: For cooperative perception in the internet of vehicles, this paper proposes a generative adversarial network-based semantic communication framework to address the efficiency and fidelity bottlenecks of traditional communication syst…

本文如何被排名

报道来源 [1]

基于GAN的语义通信在车联网图像传输中的应用

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