Event-based Vision Sensors - Applications and Algorithms: Investigating event-based vision sensors and algorithms for high-speed, low-latency processing of visual information in dynamic scenes

Abstract

Event-based vision sensors have emerged as a promising technology for processing visual information in dynamic scenes with high speed and low latency. Unlike traditional frame-based sensors, event-based sensors asynchronously detect changes in brightness, leading to more efficient processing of visual data. This paper provides an overview of event-based vision sensors, their underlying principles, and the algorithms used for processing the data they generate. We discuss the applications of event-based vision sensors in various fields, including robotics, autonomous vehicles, and augmented reality. Additionally, we analyze the advantages and challenges of using event-based sensors compared to traditional sensors and highlight future research directions in this rapidly evolving field.