Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …

Vision-based localization systems, namely visual odometry (VO) and visual inertial odometry
(VIO), have attracted great attention recently. They are regarded as critical modules for …

Dynamic Vision Sensor (DVS) event camera output includes uninformative background
activity (BA) noise events that increase dramatically under dim lighting. Existing denoising …

Abstract We present Ev-NeRF, a Neural Radiance Field derived from event data. While
event cameras can measure subtle brightness changes in high frame rates, the …

Dynamic vision sensor (DVS) is a new type of image sensor, which has application
prospects in the fields of automobiles and robots. Dynamic vision sensors are very different …

Event cameras, such as dynamic vision sensors (DVS), are biologically inspired vision
sensors that have advanced over conventional cameras in high dynamic range, low latency …

Identifying independently moving objects is an essential task for dynamic scene
understanding. However, traditional cameras used in dynamic scenes may suffer from …

This paper presents a novel method for labeling real-world neuromorphic camera sensor
data by calculating the likelihood of generating an event at each pixel within a short time …

In this work, we present an optical space imaging dataset using a range of event-based
neuromorphic vision sensors. The unique method of operation of event-based sensors …

We present a novel computational imaging system with high resolution and low noise. Our
system consists of a traditional video camera which captures high-resolution intensity …