Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

This paper presents a complete review of computer vision algorithms and vision-based
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …

In this work we propose long wave infrared (LWIR) imagery as a viable supporting modality
for semantic segmentation using learning-based techniques. We first address the problem of …

Resilient pose estimation for autonomous systems, and especially small unmanned aerial
robots, is one of the core capabilities required for these robots to perform their assigned …

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 …

With the advent of commodity autonomous mobiles, it is becoming increasingly prevalent to
recognize under extreme conditions such as night, erratic illumination conditions. This need …

Autonomous navigation of microaerial vehicles in environments that are simultaneously
GPS‐denied and visually degraded, and especially in the dark, texture‐less and dust‐or …

Limited navigation capabilities of many current robots and UAVs restricts their applications
in GPS denied areas. Large aircraft with complex navigation systems rely on a variety of …

This paper proposes an approach for fusing direct radiometric data from a thermal camera
with inertial measurements to extend the robotic capabilities of aerial robots for navigation in …

Visual odometry shows excellent performance in a wide range of environments. However, in
visually-denied scenarios (eg heavy smoke or darkness), pose estimates degrade or even …