基于先进的自适应式PDR和双眼视觉辅助的自主定位背心系统
Tianqi Tian1,2, Yanzhu Hu1,2, Xinghao Zhao3
1Key Laboratory of IoT Monitoring and Early Warning, Ministry of Emergency Management, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Micromachines
|August 28, 2025
概括
这项研究介绍了救援人员可穿戴的自主定位背心,它结合了先进的自适应行人死亡计算 (APDR) 和双眼视觉. 该系统提供低成本,高精度的室内导航,在复杂的环境中显著减少定位错误.
科学领域:
- 机器人技术
- 导航系统
- 传感器融合
背景情况:
- 室内导航系统通常依赖于外部基础设施,导致复杂环境中的定位不可靠.
- 现有解决方案在准确性,成本和可靠性方面面临挑战,特别是在救援行动等关键应用中.
研究的目的:
- 为救援人员开发低成本,高可靠性和高精度的自主定位系统.
- 通过将先进的自适应行人死亡计算 (APDR) 与双眼视觉相结合,提高室内导航的准确性.
- 创建一个适合复杂和基础设施有限的可穿戴系统.
主要方法:
- 开发了一种胸部安装的APDR方法,包括动态步骤细分和自适应步骤长度估计.
- 在视觉跟踪算法中集成的步骤长度功能来限制错误.
- 使用扩展的卡尔曼波器 (EKF) 来增强定位的融合视觉和死亡计算数据.
主要成果:
- 与视觉惯性测距相比,可穿戴的自主定位背心系统显示平均定位误差降低了45.14%,终点误差降低了38.6%.
- 在胸部确定了APDR的最佳传感器位置.
- 该系统在各种室内环境中有效,包括走廊,停车场和道.
结论:
- 拟议的系统为自主室内定位提供了一个实用,低成本和可穿戴的解决方案.
- 通过EKF集成APDR和双眼视觉显著提高定位可靠性和准确性.
- 这项技术有效地解决了救援人员在灾难场景中的自主定位需求.
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