Date of Award
3-2021
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Aeronautics and Astronautics
First Advisor
Bryan Little, PhD
Abstract
This research examines the viability of event-based vision (neuromorphic) sensors for future use on satellites. Outputting single pixel events only when a change in intensity is detected, event-based vision sensors offer a potential low power, low latency, high temporal resolution, and high dynamic range solution as compared to traditional CCD or CMOS camera technology. The commercial off-the-shelf DVS240C sensor, is analyzed to determine if operability is affected by launch conditions and the low Earth space environment through vacuum, thermal vacuum, and vibration tests. No appreciable changes in sensor operation was observed throughout testing. Additionally, the sensor was able to detect both bright and dark objects directly in front of a solar simulator without pixel saturation, demonstrating its high dynamic range which provides a possible advantage for use on space-based platforms.
AFIT Designator
AFIT-ENY-MS-21-M-304
DTIC Accession Number
AD1181169
Recommended Citation
Horn, Jessica L., "Neuromorphic Vision Sensors for Space-Based Applications" (2021). Theses and Dissertations. 6896.
https://scholar.afit.edu/etd/6896