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English(EN) DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception

DinoLink框架大幅降低V2X感知带宽需求

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出DinoLink，一个新颖的框架，旨在压缩在严格带宽限制下运行的车联网（V2X）感知系统中的表示数据。该方法用离散语义通信取代原始像素数据的传输，实现了车辆与云之间的协同推理。DinoLink采用双稀疏架构，修剪背景Token并将特征量化为紧凑索引，从而在窄带环境中显著降低比特率并加快处理速度。 AI

影响 该框架有望通过克服当前的带宽限制，在车辆中实现更复杂的实时AI驱动感知。

排序理由 详细介绍V2X感知新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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DinoLink框架大幅降低V2X感知带宽需求

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详细介绍V2X感知新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Tianle Zhu, Haohua Que, Handong Yao, Hongyi Xu, Zhipeng Bao ·

    DinoLink：面向带宽受限协同V2X感知的以Token为中心的表示压缩框架

    arXiv:2606.26398v1 Announce Type: new Abstract: High-precision remote perception is often hindered by the severe bandwidth constraints of Vehicle-to-Everything (V2X) networks. We propose \textit{DinoLink}, a token-centric compression framework that replaces raw pixel streaming wi…

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