House Samuel, Connell Sean, Milligan Ian, Austin Daniel, Hayes Tamara L, Chiang Patrick
School of Electrical Engineering and Computer Sciences, Oregon State University, Corvallis, OR, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:7598-601. doi: 10.1109/IEMBS.2011.6091873.
We describe a low-cost wearable system that tracks the location of individuals indoors using commonly available inertial navigation sensors fused with radio frequency identification (RFID) tags placed around the smart environment. While conventional pedestrian dead reckoning (PDR) calculated with an inertial measurement unit (IMU) is susceptible to sensor drift inaccuracies, the proposed wearable prototype fuses the drift-sensitive IMU with a RFID tag reader. Passive RFID tags placed throughout the smart-building then act as fiducial markers that update the physical locations of each user, thereby correcting positional errors and sensor inaccuracy. Experimental measurements taken for a 55 m × 20 m 2D floor space indicate an over 1200% improvement in average error rate of the proposed RFID-fused system over dead reckoning alone.
我们描述了一种低成本的可穿戴系统，该系统使用常见的惯性导航传感器与放置在智能环境中的射频识别（RFID）标签融合，来跟踪室内人员的位置。虽然使用惯性测量单元（IMU）计算的传统行人航位推算（PDR）容易受到传感器漂移误差的影响，但所提出的可穿戴原型将对漂移敏感的IMU与RFID标签读取器进行了融合。放置在整个智能建筑中的无源RFID标签充当基准标记，用于更新每个用户的物理位置，从而校正位置误差和传感器误差。在55米×20米的二维楼层空间进行的实验测量表明，与单独的航位推算相比，所提出的融合RFID系统的平均错误率提高了1200%以上。
