Space Imaging
The Event-Based Space Situational Awareness (EBSSA) Dataset
Authors
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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
Email: s.afshar@westernsydney.edu.au
What is it?
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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.
Formats
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The dataset is provided as .mat files
Dataset Summary
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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
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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).