The four chips presented in the special session on" Activity-driven, event-based vision
sensors" quickly output compressed digital data in the form of events. These sensors reduce …

The challenges of develo** neuromorphic vision systems inspired by the human eye
come not only from how to recreate the flexibility, sophistication, and adaptability of animal …

Inspired by biology, neuromorphic systems have been trying to emulate the human brain for
decades, taking advantage of its massive parallelism and sparse information coding …

Image sensors face substantial challenges when dealing with dynamic, diverse and
unpredictable scenes in open-world applications. However, the development of image …

State-of-the-art image sensors suffer from significant limitations imposed by their very
principle of operation. These sensors acquire the visual information as a series of “snapshot” …

In this paper we present a very exciting overlap between emergent nanotechnology and
neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are …

Event-driven visual sensors have attracted interest from a number of different research
communities. They provide visual information in quite a different way from conventional …

Dynamic Vision Sensors (DVS) have recently appeared as a new paradigm for vision
sensing and processing. They feature unique characteristics such as contrast coding under …

The emergence of the Internet-of-Things is anticipated to create a vast market for what are
known as smart edge devices, opening numerous opportunities across countless domains …

This paper presents a 128× 128 dynamic vision sensor. Each pixel detects temporal
changes in the local illumination. A minimum illumination temporal contrast of 10% can be …