RuDaCoP：智能手机智能行人导航数据集
RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation
摘要：
本文介绍了大型和多样化的数据集开发基于智能手机的行人导航算法。该数据集由来自多个智能手机传感器的约1200组惯性测量值组成。测量值是在步行通过长达10分钟的不同轨迹时收集的。数据伴随着高精度地面实况收集两个脚安装的惯性测量单元和后处理所提出的算法。该数据集既适合基于学习技术的智能行人导航算法的训练，也适合基于经典方法的行人导航算法的开发。该数据集可在http://gartseev.ru/projects/ipin2019上访问。
英文摘要：
This paper presents the large and diverse dataset for development of smartphone-based pedestrian navigation algorithms. This dataset consists of about 1200 sets of inertial measurements from sensors of several smartphones. The measurements are collected while walking through different trajectories up to 10 minutes long. The data are accompanied by the high accuracy ground truth collected with two foot-mounted inertial measurement units and post-processed by the presented algorithms. The dataset suits both for training of intellectual pedestrian navigation algorithms based on learning techniques and for development of pedestrian navigation algorithms based on classical approaches. The dataset is accessible at http://gartseev.ru/projects/ipin2019.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
