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 …

In recent decades, visual simultaneous localization and mapping (vSLAM) has gained
significant interest in both academia and industry. It estimates camera motion and …

Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …

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 …

New vision sensors, such as the dynamic and active-pixel vision sensor (DAVIS),
incorporate a conventional global-shutter camera and an event-based sensor in the same …

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 …

We propose a method which can perform real-time 3D reconstruction from a single hand-
held event camera with no additional sensing, and works in unstructured scenes of which it …

We present EVO, an event-based visual odometry algorithm. Our algorithm successfully
leverages the outstanding properties of event cameras to track fast camera motions while …

The development of a navigation system is one of the major challenges in building a fully
autonomous platform. Full autonomy requires a dependable navigation capability not only in …