SFU-STORE-NAV

SFU-STORE-NAV数据集由西蒙弗雷泽大学计算科学机器人实验室创建，旨在收集与自主机器人导航相关的人类导航意图数据。该数据集包含108名参与者的视觉和运动捕捉数据，模拟购物场景中的交互。数据集创建过程中，使用多摄像头和Vicon系统同步记录参与者位置和头部方向。该数据集适用于机器人学、机器学习和计算机视觉领域的研究，特别是用于人类意图推断和轨迹预测。

The SFU-STORE-NAV dataset was created by the Computational Science Robotics Laboratory at Simon Fraser University, with the objective of collecting human navigation intent data relevant to autonomous robotic navigation. This dataset contains visual and motion capture data from 108 participants, simulating interactive scenarios within a shopping store environment. During its development, multiple cameras and the Vicon system were employed to synchronously record the participants' positions and head orientations. This dataset is suitable for research in the fields of robotics, machine learning and computer vision, particularly for human intent inference and trajectory prediction.