Computer vision based indoor localization methods use either an infrastructure of static
cameras to track mobile entities (eg, people, robots) or cameras attached to the mobile …

With the fast development of consumer-level RGB-D cameras, real-world indoor three-
dimensional (3D) scene modeling and robotic applications are gaining more attention …

This paper presents an autonomous system for apple orchard inspection and early stage
disease detection. Various sensors including hyperspectral, multispectral and visible range …

Localization is one of the most challenging requirements needed for a mobile robots.
Successful localization represents success in meeting the other principal requirements, such …

Computational complexity is one of the critical attributes of robot design. Mapping, a vitally
important feature of auto-navigation of robots is one such area where computational …

Featured Application Robotics, Augmented Reality and self-driving. Abstract In recent years,
low-cost and lightweight RGB and depth (RGB-D) sensors, such as Microsoft Kinect, have …

In this paper, we present a novel navigation framework for the Fetch robot in a large-scale
environment based on submapping techniques. This indoor navigation system is divided …

The classic visual-inertial odometry (VIO) method estimates the 6-DOF pose of a moving
camera by fusing the camera's ego-motion estimated by visual odometry (VO) and the …

It has been about 20 years since the disruptive appearance of the first time-of-flight (ToF)
cameras. Since then, ToF imaging has progressively evolved. Nowadays, ToF sensors have …

Smart city situational awareness has recently emerged as a hot topic in research societies,
industries, and governments because of its potential to integrate cutting-edge information …