RuDaCoP

RuDaCoP数据集，由莫斯科研究中心华为技术有限公司创建，专注于智能手机辅助的智能行人导航算法开发。该数据集包含约1200组来自多个智能手机的惯性测量数据，这些数据是在行走不同轨迹时收集的，最长可达10分钟。数据集还附带了由两个足部安装的惯性测量单元收集并通过后处理算法处理的高精度地面实况数据。RuDaCoP适用于基于学习技术的智能行人导航算法训练和基于经典方法的行人导航算法开发。数据集的应用领域包括紧急服务中的即时定位、大型建筑内的导航辅助以及视觉障碍人士的导航支持，旨在解决室内定位和导航问题。

RuDaCoP dataset was created by Huawei Technologies Co., Ltd.'s Moscow Research Center, focusing on the development of smartphone-assisted intelligent pedestrian navigation algorithms. This dataset contains approximately 1,200 sets of inertial measurement data collected from multiple smartphones during walks along various trajectories, with the longest recording lasting 10 minutes. It also includes high-precision ground truth data collected by two foot-mounted inertial measurement units and processed via post-processing algorithms. RuDaCoP is suitable for training intelligent pedestrian navigation algorithms based on learning technologies and developing pedestrian navigation algorithms using classical methods. Its application scenarios include real-time positioning in emergency services, navigation assistance in large buildings, and navigation support for visually impaired individuals, aiming to solve indoor positioning and navigation problems.