Event-based sensing (EBS) is an imaging paradigm in which pixels asynchronously report when intensity changes occur in their respective IFOVs. These sensors have a high temporal resolution and low SWaP-C, making them of interest for space-based surveillance systems. The tradeoff, however, is, that each pixel’s report only tells whether the intensity increased or decreased; no radiometric intensity information is included. For this reason, traditional image processing approaches often fail on EBS data, making EBS algorithm design an active research area. We are therefore seeking a postdoctoral researcher to develop methods for object detection, velocity segmentation, or target tracking in EBS measurements of highly cluttered scenes. Strong applications will demonstrate a background in signal processing, time series analysis, compressive sensing, or machine learning. No previous background in EBS is required.

Event-based sensing for space situational awareness

G Cohen, S Afshar, B Morreale, T Bessell, A Wabnitz… - The Journal of the Astronautical Sciences, 2019

key words

Event Based Sensing; Neuromorphic Vision; Neuromorphic Engineering; Compressive Sensing; Computational Imaging; Algorithms; Optics; Remote Sensing;

Citizenship:  Open to U.S. citizens

Level:  Open to Postdoctoral and Senior applicants