With the increasing complexity of machine vision algorithms and growing applications of
image processing, how do computers without a dedicated graphics processor perform? This …

Focal-Plane Sensor-Processor Arrays (FPSP) s are an emerging technology that can
execute vision algorithms directly on the image sensor. Unlike conventional cameras …

Current existing stereo visual odometry algorithms are computationally too expensive for
robots with restricted resources. Executing these algorithms on such robots leads to a low …

This letter presents benchmark tests of various visual (-inertial) odometry algorithms on
NVIDIA Jetson platforms. The compared algorithms include mono and stereo, covering …

The recent introduction of powerful embedded graphics processing units (GPUs) has
allowed for unforeseen improvements in real-time computer vision applications. It has …

Recently, application of Unmanned Aerial Vehicle (UAV) attract much attention of not only
academic but also industrial community. To control and make the most of UAV, state …

This paper presents VCU-RVI, a new visual inertial odometry (VIO) benchmark with a set of
diverse data sequences in different indoor scenarios. The benchmark was captured using …

In this paper, we present the Trifo Visual Inertial Odometry (Trifo-VIO), a tightly-coupled
filtering-based stereo VIO system using both points and lines. Line features help improve …

This paper presents Navion, an energy-efficient accelerator for visual-inertial odometry (VIO)
that enables autonomous navigation of miniaturized robots (eg, nano drones), and …

Flying robots require a combination of accuracy and low latency in their state estimation in
order to achieve stable and robust flight. However, due to the power and payload constraints …