The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM
University of Zurich · SIB Swiss Institute of Bioinformatics · +1 more institution
Abstract
New vision sensors, such as the dynamic and active-pixel vision sensor (DAVIS), incorporate a conventional global-shutter camera and an event-based sensor in the same pixel array. These sensors have great potential for high-speed robotics and computer vision because they allow us to combine the benefits of conventional cameras with those of event-based sensors: low latency, high temporal resolution, and very high dynamic range. However, new algorithms are required to exploit the sensor characteristics and cope with its unconventional output, which consists of a stream of asynchronous brightness changes (called “events”) and synchronous grayscale frames. For this purpose, we present and release a collection of…
Citation impact
- FWCI
- 17.68
- Percentile
- 100%
- References
- 15
Authors
5- EMElias MuegglerCorresponding
University of Zurich
- HRHenri Rebecq
University of Zurich
- GGGuillermo Gallego
University of Zurich
- TDTobi Delbruck
SIB Swiss Institute of Bioinformatics, University of Zurich, ETH Zurich
- DSDavide Scaramuzza
University of Zurich
Topics & keywords
- Robotics
- Asynchronous communication
- Exploit
- Grayscale
- Pixel
- Pose
- Brightness
- Robot