Flying insects employ elegant optical-flow-based strategies to solve complex tasks such as
landing or obstacle avoidance. Roboticists have mimicked these strategies on flying robots …

Segmentation of moving objects in dynamic scenes is a key process in scene understanding
for navigation tasks. Classical cameras suffer from motion blur in such scenarios rendering …

Morphable design and depth-based visual control are two upcoming trends leading to
advancements in the field of quadrotor autonomy. Stereo-cameras have struck the perfect …

This paper presents the implementation of ORB-SLAM3 for visual odometry on a low-power
ARM-based system, specifically the Jetson Nano, to track a robot's movement using RGB-D …

The rapidly increasing capabilities of autonomous mobile robots promise to make them
ubiquitous in the coming decade. These robots will continue to enhance efficiency and …

The recent advancements towards Artificial Intelligence (AI) at the edge resonate with an
impression of a dichotomy between resource intensive, highly abstracted Machine Learning …

In the field of visual ego-motion estimation for Micro Air Vehicles (MAVs), fast maneuvers
stay challenging mainly because of the big visual disparity and motion blur. In the pursuit of …