OutFin, a multi-device and multi-modal dataset for outdoor localization based on the fingerprinting approach

被引:3
作者
Alhomayani, Fahad [1 ]
Mahoor, Mohammad H. [1 ]
机构
[1] Univ Denver, Ritchie Sch Engn & Comp Sci, Dept Elect & Comp Engn, Denver, CO 80208 USA
关键词
INDOOR LOCALIZATION; ROBUST;
D O I
10.1038/s41597-021-00832-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In recent years, fingerprint-based positioning has gained researchers' attention since it is a promising alternative to the Global Navigation Satellite System and cellular network-based localization in urban areas. Despite this, the lack of publicly available datasets that researchers can use to develop, evaluate, and compare fingerprint-based positioning solutions constitutes a high entry barrier for studies. As an effort to overcome this barrier and foster new research efforts, this paper presents OutFin, a novel dataset of outdoor location fingerprints that were collected using two different smartphones. OutFin is comprised of diverse data types such as WiFi, Bluetooth, and cellular signal strengths, in addition to measurements from various sensors including the magnetometer, accelerometer, gyroscope, barometer, and ambient light sensor. The collection area spanned four dispersed sites with a total of 122 reference points. Each site is different in terms of its visibility to the Global Navigation Satellite System and reference points' number, arrangement, and spacing. Before OutFin was made available to the public, several experiments were conducted to validate its technical quality.
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页数:14
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