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 …

Today's autonomous drones have reaction times of tens of milliseconds, which is not
enough for navigating fast in complex dynamic environments. To safely avoid fast moving …

In contrast to traditional cameras, whose pixels have a common exposure time, event-based
cameras are novel bio-inspired sensors whose pixels work independently and …

The recent emergence of bioinspired event cameras has opened up exciting new
possibilities in high-frequency tracking, bringing robustness to common problems in …

Regardless of the marvels brought by the conventional frame‐based cameras, they have
significant drawbacks due to their redundancy in data and temporal latency. This causes …

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

Event cameras are a new technology that can enable low-latency, fast visual sensing in
dynamic environments towards faster robotic vision as they respond only to changes in the …

Neuromorphic vision is a bio-inspired technology that has triggered a paradigm shift in the
computer vision community and is serving as a key enabler for a wide range of applications …

Near-eye gaze estimation is a task that maps the recording of an eye captured by an
adjacent camera to the direction of a person's gaze in space. In contrast to frame-based …

Optical flow is a crucial component of the feature space for early visual processing of
dynamic scenes especially in new applications such as self-driving vehicles, drones and …