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English(EN) SemanticXR: Low Power and Real-time Queryable Semantic Mapping with an Object-Level Device-Cloud Architecture

SemanticXR 为 XR 实现低功耗、实时语义地图构建

研究人员开发了 SemanticXR,这是一种新颖的设备-云端架构,可用于扩展现实(XR)应用的实时、低功耗语义地图构建。该系统将可识别的对象作为跨设备和云端的通信、执行和内存管理的主要单元。SemanticXR 在保持设备低功耗的同时,显著提高了地图构建的延迟并降低了带宽需求。 AI

影响 该系统有望在 XR 环境中实现更复杂、响应更快的 AI 助手和空间搜索功能。

排序理由 该集群描述了一篇详细介绍特定应用领域新系统架构的研究论文。

在 arXiv cs.CV 阅读 →

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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Rahul Singh, Devdeep Ray, Connor Smith, Sarita Adve ·

    SemanticXR: Low Power and Real-time Queryable Semantic Mapping with an Object-Level Device-Cloud Architecture

    arXiv:2606.12849v1 Announce Type: cross Abstract: Semantic mapping is a core service that enables grounded interactions in emerging Extended Reality (XR) applications such as AI assistants and spatial object search. Deploying this capability on mobile XR devices requires a system…

  2. arXiv cs.CV TIER_1 English(EN) · Sarita Adve ·

    SemanticXR: Low Power and Real-time Queryable Semantic Mapping with an Object-Level Device-Cloud Architecture

    Semantic mapping is a core service that enables grounded interactions in emerging Extended Reality (XR) applications such as AI assistants and spatial object search. Deploying this capability on mobile XR devices requires a system that is open-vocabulary, real-time, and low-power…