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English(EN) AsyncMDE: Real-Time Monocular Depth Estimation via Asynchronous Spatial Memory

AsyncMDE 系统赋能机器人实时深度估计

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了 AsyncMDE，一个专为边缘平台机器人感知设计的实时单目深度估计新系统。该系统利用一个冻结的基础模型进行高质量特征提取，以及一个轻量级的异步快速路径，通过重用这些特征来实现高推理速度。AsyncMDE 旨在通过将基础模型的处理分摊到一段时间内来降低深度估计的计算成本，从而能够高效地部署在 Jetson AGX Orin 等设备上。 AI

影响 这项研究可以为边缘设备上的机器人实现更高效的实时 AI 感知。

排序理由 这是一篇详细介绍单目深度估计新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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AsyncMDE 系统赋能机器人实时深度估计

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这是一篇详细介绍单目深度估计新方法的学术论文。[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) · Lianjie Ma, Yuquan Li, Bingzheng Jiang, Ziming Zhong, Han Ding, Lijun Zhu ·

    AsyncMDE：通过异步空间记忆进行实时单目深度估计

    arXiv:2603.10438v2 Announce Type: replace-cross Abstract: Foundation-model-based monocular depth estimation offers a viable alternative to active sensors for robot perception, yet its computational cost often prohibits deployment on edge platforms. Existing methods perform indepe…

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