Review of the Development and Application of Visual Sensors based on Event Streaming

Abstract

Event-based vision sensors efficiently capture changes in motion in a scene in real time. Unlike traditional camera principles, event cameras only report pixel-level brightness changes with low latency, low redundancy, and high dynamic range. Therefore, cameras have been widely used in image processing, computer vision, state estimation and other research directions. This paper explains the basic principles and structure of event cameras, compares three typical event cameras, and analyzes their respective advantages and application scenarios. Secondly, this paper reviews the application of event cameras in the research directions of event stream noise reduction, feature extraction, object detection, depth estimation, visual SLAM, optical flow estimation and multi-sensor fusion, summarizes the advantages and disadvantages of event cameras, and evaluates and prospects its development prospects in different application scenarios. Finally, its future development trend is discussed.