Abstract

In this study, we present an advanced event sensor simulator leveraging NVIDIA OptiX to address and overcome the limitations of existing event sensor simulators. Our simulator demonstrates significant improvements in both processing speed and temporal resolution compared to traditional methods such as v2e. These advancements are achieved by programming a real-time ray tracer with asynchronous event pixels using Nvidia OptiX’s sophisticated motion system, which provides hardware motion interpolation on GPU threads. This enables sampling dynamic scenes to generate a series of events independent from frame rates. Additionally, we introduce an image space photon mapping method utilizing OptiX for enhanced global illumination, providing fast and realistic lighting effects in the simulated environment to meet the performance required to generate high frequency event streams. Our solution simulates real event cameras more accurately, expanding the potential applications of simulators in research.

Publication Date

8-9-2024

Document Type

Thesis

Student Type

Graduate

College

Golisano College of Computing and Information Sciences

Advisor

Reynold Bailey

Advisor/Committee Member

Gabriel Diaz

Advisor/Committee Member

Joe Geigel

Campus

RIT – Main Campus

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