autonomous vehicles computer vision deep learning event camera global shutter camera GNSS GPS h5 hdf5 IMU lidar machine learning perception robotics RTK
M3ED is the first multi-sensor event camera (EC) dataset focused on high-speed dynamic motions in robotics applications. M3ED provides high-quality synchronized data from multiple platforms (car, legged robot, UAV), operating in challenging conditions such as off-road trails, dense forests, and performing aggressive flight maneuvers. M3ED also covers demanding operational scenarios for EC, such as high egomotion and multiple independently moving objects. M3ED includes high-resolution stereo EC (1280×720), grayscale and RGB cameras, a high-quality IMU, a 64-beam LiDAR, and RTK localization.
The dataset will be uploaded sporadically, when bugs are found and new features are implemented (see updates).
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
You can access the overview of the data here.
Daniilidis Group, KumarRobotics
See all datasets managed by Daniilidis Group](https://www.grasp.upenn.edu/people/kostas-daniilidis/), [KumarRobotics.
Multi-robot, Multi-Sensor, Multi-Environment Event Dataset (M3ED) was accessed on DATE from https://registry.opendata.aws/m3ed.
arn:aws:s3:::m3ed-distus-west-2aws s3 ls --no-sign-request s3://m3ed-dist/