Pedestrian Dead Reckoning With Wearable Sensors: A Systematic Review

可穿戴计算机 计算机科学 航位推算 全球定位系统 行人 软件部署 可穿戴技术 阶跃检测 过程(计算) 光学(聚焦) 实时计算 工程类 嵌入式系统 电信 运输工程 操作系统 光学 物理
作者
Xinyu Hou,Jeroen Bergmann
出处
期刊:IEEE Sensors Journal [IEEE Sensors Council]
卷期号:21 (1): 143-152 被引量:91
标识
DOI:10.1109/jsen.2020.3014955
摘要

Pedestrian Dead Reckoning (PDR) is the process of calculating one's current location by using the previously known position, and advancing that position over time using established or estimated speeds and trajectories (or alternatively stride lengths and directions). PDR plays an important role in modern life, including tracking locations of people and objects whenever GPS is not available. Self-contained PDR systems do not require an infrastructure, thus they can be used for rapid deployment in situations such as search and rescue, disaster relief or medical emergencies. Wearable sensors are often applied in self-contained PDR, but implementation varies in terms of the number, type and location of sensors used. Many algorithms are designed for PDR in order to reduce the error or drift of the final estimate, with various levels of success. There is a lack of comparison between these different methods and this systematic review of PDR for wearable devices provides a comprehensive overview that can inform further design optimizations. The aim of this article is to assess the quality of all available PDR literature with a focus on wearable sensors. It provides an outline of the state-of-the-art in the field by comparing the accuracy of different sensor layouts and algorithms. Further directions of research are suggested based on these results. This study also highlights the need for more standardised and robust assessment protocols to capture real-world tracking performance of PDR methods.
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