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 …

Vision-based localization systems, namely visual odometry (VO) and visual inertial odometry
(VIO), have attracted great attention recently. They are regarded as critical modules for …

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 novel sensors that report brightness changes in the form of
asynchronous" events" instead of intensity frames. They have significant advantages over …

This paper addresses the problem of cross-modal object tracking from RGB videos and
event data. Rather than constructing a complex cross-modal fusion network, we explore the …

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

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

To cope with the high resource (network and compute) demands of real-time video analytics
pipelines, recent systems have relied on frame filtering. However, filtering has typically been …