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.

近年来，基于指纹的定位引起了研究人员的关注，因为它是全球导航卫星系统和城市地区基于蜂窝网络的定位的有前途的替代方案。尽管如此，研究人员可用于开发、评估和比较基于指纹的定位解决方案的公开数据集的缺乏构成了研究的较高准入门槛。为了克服这一障碍并促进新的研究工作，本文提出了 OutFin，这是使用两种不同智能手机收集的室外位置指纹的新颖数据集。 OutFin 包含多种数据类型，例如 WiFi、蓝牙和蜂窝信号强度，以及来自各种传感器（包括磁力计、加速计、陀螺仪、气压计和环境光传感器）的测量结果。收集区域跨越四个分散地点，共有 122 个参考点。每个站点在全球导航卫星系统的可见性以及参考点的数量、排列和间距方面都不同。在 OutFin 向公众开放之前，进行了多项实验来验证其技术质量。