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English(EN) Coop-WD: Cooperative Perception with Weighting and Denoising for Robust V2V Communication

Coop-WD框架在V2V通信问题中提升自动驾驶汽车感知能力

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出Coop-WD，一个旨在通过减轻车对车（V2V）通信损伤影响来提高自动驾驶汽车协同感知能力的新型框架。该系统采用分层方法，利用自监督对比和条件扩散模型在车辆和像素级别进行特征增强。还提出了一种高效变体Coop-WD-eco，通过选择性禁用去噪来降低计算成本，在改善的信道条件下展示了可比的准确性。 AI

影响 通过解决V2V通信挑战，增强了自动驾驶汽车感知系统的鲁棒性。

排序理由 这是一篇详细介绍特定应用领域新技术框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Coop-WD框架在V2V通信问题中提升自动驾驶汽车感知能力

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这是一篇详细介绍特定应用领域新技术框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chenguang Liu, Jianjun Chen, Yunfei Chen, Yubei He, Zhuangkun Wei, Hongjian Sun, Haiyan Lu, Qi Hao ·

    Coop-WD：用于鲁棒V2V通信的加权去噪协同感知

    arXiv:2505.03528v2 Announce Type: replace Abstract: Cooperative perception, leveraging shared information from multiple vehicles via vehicle-to-vehicle (V2V) communication, plays a vital role in autonomous driving to alleviate the limitation of single-vehicle perception. Existing…

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