带有多源传感器的智能手机的室内定位方法融合:任务,挑战,策略和观点
Jianhua Liu1, Zhijie Yang1, Sisi Zlatanova2
1Mobile Geospatial Big Data Cloud Service Innovation Team, School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.
Sensors (Basel, Switzerland)
|April 28, 2025
概括
由于信号问题,准确的室内定位具有挑战性. 这篇评论探讨了智能手机多源传感器融合,结合Wi-Fi,蓝牙,摄像头和惯性传感器,以改善室内定位.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 无处不在的计算无处不在的计算
背景情况:
- 全球导航卫星系统 (GNSS) 信号由于多路径效应,阻塞和减弱而在室内不可靠.
- 准确的室内定位对于基于位置的服务至关重要,但对于单个传感器技术来说具有挑战性.
- 基于智能手机的室内定位是研究普遍应用的关键领域.
研究的目的:
- 为智能手机多源传感器融合进行广泛审查主流传感器和室内定位方法.
- 总结最近的研究进展,技术特征和适用于智能手机室内定位的场景.
- 确定室内定位多传感器融合的关键问题和未来技术前景.
主要方法:
- 基于无线介质 (Wi-Fi,蓝牙) 和基于摄像头/麦克风的定位方法的审查.
- 基于惯性传感器的定位及其局限性的分析 (错误积累).
- 专注于多源传感器融合技术,利用互补的传感器优势进行室内定位.
主要成果:
- 无线方法容易受到室内环境干扰.
- 惯性传感器面临着累积错误的挑战,限制了独立的准确性.
- 多源传感器融合在复杂的室内环境中提供了更高的精度和可靠性.
结论:
- 传感器融合是对强大的智能手机室内定位的有前途的研究热点.
- 了解传感器特性和融合策略是克服室内定位挑战的关键.
- 需要进一步的研究来解决关键问题,并推进该领域的技术前景.
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