issai/IMUWiFine

IMUWiFine数据集包含了在纳扎尔巴耶夫大学C4楼第四、第五和第六层按顺序记录的IMU和WiFi RSSI数据，具有高时空分辨率。该数据集覆盖面积超过9000平方米，包含60条训练轨迹、30条验证轨迹和30条测试轨迹，总样本数超过540万，总长度约为14.2公里，总时长约为10.4小时。

The IMUWiFine dataset comprises IMU and WiFi RSSI data readings recorded in sequential order with a fine spatiotemporal resolution. The dataset was collected on the fourth, fifth, and sixth floors of the C4 building at the Nazarbayev University campus, covering an area of over 9,000 square meters. It includes 60 training trajectories, 30 validation trajectories, and 30 test trajectories, with a total of over 5.4 million samples, a total length of approximately 14.2 kilometers, and a total duration of about 10.4 hours.

搜集汇总

背景与挑战

背景概述

IMUWiFine数据集是一个用于端到端顺序室内定位的数据集，包含智能手机惯性传感器和WiFi RSSI数据，覆盖面积超过9,000平方米，总数据量达5.4M样本。数据集由Nazarbayev University的智能系统与人工智能研究所收集，适用于室内定位算法的研究和开发。