超越航位推算：关于道路隧道中相机--DAS--GNSS连续性的观点
Beyond Dead Reckoning: A Point of View on Camera--DAS--GNSS Continuity in Road Tunnels
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中文总结 AI 辅助
本文提出将道路隧道定位视为基础设施辅助的跨模态轨迹连续性，融合入口卫星、DAS、相机和边缘计算，以替代航位推算，实现完整性感知的连续定位。
中文摘要 AI 辅助
道路隧道会遮挡卫星信号，而联网自动驾驶车辆在隧道中仍需连续、可归属且具有完整性约束的定位。本文观点认为，隧道定位应被视为基础设施辅助的跨模态轨迹连续性，而非对最后可信卫星定位的外推。可信的入口卫星解决方案提供全局锚点，分布式声学传感（DAS）提供连续运动证据，相机提供稀疏的身份和车道锚点，车载传感提供短期动态，边缘计算负责关联、融合、完整性监测和受保护的重新捕获。地面真值保留用于离线校准和验证。本文制定了一个可证伪的研究和部署议程，以从同步的多模态证据推进到经过验证的、具有完整性感知的隧道定位连续性。
英文摘要
Road tunnels remove satellite visibility where connected and automated vehicles still require continuous, attributable, and integrity-bounded positioning. This Point of View argues that tunnel localization should be treated as infrastructure-assisted cross-modal track continuity, not as extrapolation from the last trusted satellite fix. A trusted portal satellite solution provides the global anchor, distributed acoustic sensing (DAS) continuous motion evidence, cameras sparse identity and lane anchors, onboard sensing short-term dynamics, and edge computing association, fusion, integrity monitoring, and guarded reacquisition. Ground truth is reserved for offline calibration and validation. The article develops a falsifiable research and deployment agenda for progressing from synchronized multimodal evidence to validated, integrity-aware tunnel positioning continuity.
发表机构
- Chicago State University（芝加哥州立大学）
- Virginia Tech Transportation Institute（弗吉尼亚理工大学交通研究所）
- Queen Mary University of London（伦敦玛丽女王大学）
机构由 AI 辅助整理，请以论文原文为准。
