基于资源约束嵌入式平台的实时PDR

M. N. Muhammad, Z. Salcic, K. Wang
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引用次数: 2

摘要

独立惯性导航系统(INS)在室内行人定位中的应用已迫在眉睫,因为其具有体积小、功耗低的特点。这将导致小尺寸、低功耗的可穿戴设备不会对用户造成干扰,但却能提供足够准确的行人定位和跟踪。在这个阶段,大多数基于ins的室内行人定位系统仍然必须与其他计算机器(如笔记本电脑或智能手机)接口,以执行计算要求很高的算法。大多数现有的技术都是离线的,而不是实时的。本文提出了一种基于嵌入式INS的实时室内行人航位推算系统。结果表明,我们的系统成功地跟踪了行人行进的距离,误差在3%以内,位置更新间隔小于1秒。
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Real-time PDR based on resource-constrained embedded platform
Standalone inertial navigation system (INS) in indoor pedestrian positioning is becoming imminent as the researchers exploit its small form factor and low power requirement. This will result in small-size, low-power wearable devices that are not obtrusive to the users and yet provide sufficiently accurate pedestrian localization and tracking within. At this stage, most of the recent INS-based indoor pedestrian positioning systems still have to interface with other computing machines such as a laptop or smartphone to perform computationally demanding algorithms. Most of the existing techniques operate in off-line and not real-time mode. In this paper, we propose a real-time indoor pedestrian dead-reckoning system based on embedded INS. The results show that our system successfully track the distance travelled by pedestrians up to an error of three percent with a position update interval less than a second.
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