Feedback control of event cameras

TL;DR

This paper introduces fixed-step feedback controllers for event cameras that automatically adjust bias parameters to regulate event rate and noise, improving adaptability for various applications.

Contribution

It proposes a novel feedback control approach for bias adjustment in event cameras, enabling automatic regulation of event rate and noise based on sensor measurements.

Findings

Controllers effectively regulate event rate within desired range

Bias adjustments improve sensor performance across different conditions

Model validation confirms the effectiveness of feedback control

Abstract

Dynamic vision sensor event cameras produce a variable data rate stream of brightness change events. Event production at the pixel level is controlled by threshold, bandwidth, and refractory period bias current parameter settings. Biases must be adjusted to match application requirements and the optimal settings depend on many factors. As a first step towards automatic control of biases, this paper proposes fixed-step feedback controllers that use measurements of event rate and noise. The controllers regulate the event rate within an acceptable range using threshold and refractory period control, and regulate noise using bandwidth control. Experiments demonstrate model validity and feedback control.