Traditional frame-based cameras, despite their effectiveness and usage in computer vision,
exhibit limitations such as high latency, low dynamic range, high power consumption, and …

Event cameras are ideally suited to capture High Dynamic Range (HDR) visual information
without blur but provide poor imaging capability for static or slowly varying scenes …

Event-based cameras are popular for tracking fast-moving objects due to their high temporal
resolution, low latency, and high dynamic range. In this article, we propose a novel algorithm …

In this research, we introduce NeuroCamTags, a battery-free platform designed to detect a
range of rich human interactions and activities in entire rooms and floors without the need for …

Most artificial lights exhibit subtle fluctuations in intensity and frequency in response to the
influence of the grid's alternating current, providing the potential to estimate the Electric …

Event-based cameras have become increasingly popular for tracking fast-moving objects
due to their high temporal resolution, low latency, and high dynamic range. In this paper, we …

Communication is a key element in applying multi-agent reinforcement learning to a wide
range of real-world scenarios. We focus on optical wireless communication (OWC), which is …

Optical identification is often done with spatial or temporal visual pattern recognition and
localization. Temporal pattern recognition, depending on the technology, involves a trade-off …

Various robots, rovers, drones, and other agents of mass-produced products are expected to
encounter scenes where they intersect and collaborate in the near future. In such multi …

Light interference negatively impacts on frame-based visual tasks. Phenomena such as
overexposure cause the loss of valuable information and reduce task execution efficiency …