Multi Vehicle Stereo Event Camera Dataset

Multi Vehicle Stereo Event Camera Dataset是由宾夕法尼亚大学的GRASP实验室创建的一个大型数据集，用于支持3D感知研究。该数据集包含同步立体事件摄像机系统在多种交通工具（如手持设备、六旋翼飞行器、汽车和摩托车）上的数据，涵盖不同光照水平和环境。数据集提供了事件流、灰度图像和IMU读数，以及通过多种传感器（如IMU、激光雷达系统、室内外运动捕捉和GPS）生成的精确姿态和深度图像。此数据集旨在为事件摄像机算法评估提供一个共同基础，解决如姿态估计、映射、障碍物避免和3D重建等问题。

The Multi Vehicle Stereo Event Camera Dataset is a large-scale dataset created by the GRASP Lab at the University of Pennsylvania to support 3D perception research. This dataset contains data captured by synchronized stereo event camera systems mounted on various vehicles, including handheld devices, hexacopters, cars, and motorcycles, covering varying lighting conditions and environments. The dataset provides event streams, grayscale images, and IMU readings, as well as accurate poses and depth images generated using multiple sensors such as IMUs, LiDAR systems, indoor and outdoor motion capture systems, and GPS. This dataset aims to provide a common benchmark for event camera algorithm evaluation, addressing tasks including pose estimation, mapping, obstacle avoidance, and 3D reconstruction.