The Event-Based Space Situational Awareness (EBSSA) Dataset
Saeed Afshar, Andrew P Nicholson, Andre van Schaik and Gregory Cohen
The International Centre for Neuromorphic Systems (ICNS)
The MARCS Institute for Brain, Behaviour and Development
Western Sydney University
Penrith, Australia 2751
What is it?
The EBSSA dataset is a collection of event-based recordings of resident space objects, planets and stars. Further information on the dataset contents can be found in the paper available at arXiv preprint arXiv:1911.08730.
You can access the dataset here.
The dataset is provided as .mat files
There are six different splits provided in this dataset. A short summary of the dataset is provided below:
The labelled section of the dataset contains 84 recordings and 84 label files.
The unlabelled section of the dataset contains 153 recordings in folders marked "Unlabelled".
Each recording file contains a TD data structure which is a list of events. Each event contians a [ x y p t ] value with x and y being the x and y positions of the event on the sensor, p being the polarity of the event and t the time stamp of each event.
How to cite
Please cite the following paper when using or referencing the dataset:
Afshar, Saeed, et al. "Event-based Object Detection and Tracking for Space Situational Awareness." arXiv preprint arXiv:1911.08730 (2019).