Magpie: A Dataset For Indoor Positioning With Magnetic Anomalies
2017 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN)(2017)
摘要
In this paper, we present a publicly available dataset for the evaluation of indoor positioning algorithms that use magnetic anomalies. Our dataset contains IMU and magnetometer measurements along with ground truth position measurements that have centimeter-level accuracy. To produce this dataset, we collected over 13 hours of data (51 kilometers of total distance traveled) from three different buildings, with sensors both handheld and mounted on a wheeled robot, in environments with and without changes in the placement of objects that affect magnetometer measurements ("live loads"). We conclude the paper with a discussion of why these characteristics of our dataset are important when evaluating positioning algorithms.
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关键词
Magnetic Localization,Indoor Localization,Dataset,Comparison of Methods
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