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 …

Autonomous driving vehicles require both a precise localization and map** solution in
different driving environment. In this context, Simultaneous Localization and Map** …

This article analyzes the evolution and current trends in aerial robotic manipulation,
comprising helicopters, conventional underactuated multirotors, and multidirectional thrust …

In this paper, we present an open platform, termed OpenVINS, for visual-inertial estimation
research for both the academic community and practitioners from industry. The open …

Event cameras are bioinspired vision sensors that output pixel-level brightness changes
instead of standard intensity frames. These cameras do not suffer from motion blur and have …

Event-based cameras are a new passive sensing modality with a number of benefits over
traditional cameras, including extremely low latency, asynchronous data acquisition, high …

As inertial and visual sensors are becoming ubiquitous, visual-inertial navigation systems
(VINS) have prevailed in a wide range of applications from mobile augmented reality to …

Event-based cameras are bioinspired vision sensors whose pixels work independently from
each other and respond asynchronously to brightness changes, with microsecond …

We present a unifying framework to solve several computer vision problems with event
cameras: motion, depth and optical flow estimation. The main idea of our framework is to find …

Event cameras respond to scene dynamics and provide signals naturally suitable for motion
estimation with advantages, such as high dynamic range. The emerging field of event-based …