Theoretical and Empirical Models for Predicting Radiometric Performance of Event Cameras

Benjamin Schmachtenberger, Johns Hopkins University Applied Physics Laboratory, University of Colorado Boulder; Zach Watson, Johns Hopkins University Applied Physics Laboratory; Conor Benson, University of Colorado Boulder; Marcus Holzinger, University of Colorado Boulder

Keywords: Event Camera, Performance Model, Photonics, Remote Sensing, Space Situational Awareness

Abstract:

Event Cameras, or neuromorphic imagers, are increasingly being used for space situational awareness (SSA) needs [4] [1] as well as being explored for on-orbit applications [3]. Historically, these devices have been deployed in well-lit environments, reducing the need for accurate predictive radiometric models. This work intends to introduce a methodology for predicting event camera performance for multiple applications, such as SSA, remote sensing and other photon-limited activities. Finally, we introduce an empirical performance model based on radiometric data collected in the Johns Hopkins University Applied Physics Lab (JHU/APL) photonics laboratory in collaboration with the VADeR Lab at The University of Colorado Boulder.

Date of Conference: September 16-19, 2025

 

Track: SDA Systems & Instrumentation

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