用地理视觉技术构建医疗救援数字孪生，实现远程与自主协同响应
GeoVision-Enabled Digital Twin for Hybrid Autonomous-Teleoperated Medical Responses
- 基于地理视觉的数字孪生架构，实时同步系统状态与环境
- 融合感知与自适应导航，提升远程医疗响应的态势感知能力
- 适合应急救援、远程医疗系统设计者参考
远程医疗响应系统正被广泛应用于灾害地区及基础设施薄弱区域。本文提出一种基于地理视觉（GeoVision）能力的数字孪生架构，用于混合式自主-远程操作医疗响应系统。该框架将感知与自适应导航集成到一个实时同步的数字孪生中，精确映射系统状态、环境动态、患者状况及任务目标。相较于传统地面控制界面，数字孪生为远程临床与运营人员提供直观、持续更新的虚拟平台视图，显著增强态势感知与决策能力。
原文摘要 · Abstract (English)
Remote medical response systems are increasingly being deployed to support emergency care in disaster-affected and infrastructure-limited environments. Enabled by GeoVision capabilities, this paper presents a Digital Twin architecture for hybrid autonomous-teleoperated medical response systems. The proposed framework integrates perception and adaptive navigation with a Digital Twin, synchronized in real-time, that mirrors system states, environmental dynamics, patient conditions, and mission objectives. Unlike traditional ground control interfaces, the Digital Twin provides remote clinical and operational users with an intuitive, continuously updated virtual representation of the platform and its operational context, enabling enhanced situational awareness and informed decision-making.
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