Micro aerial vehicles (MAVs) can make explorations in 3D environments using technologies
capable of perceiving the environment to map and estimate the location of objects that could …

Computer vision aims at developing algorithms to extract high-level information from images
and videos. In the industry, for instance, such algorithms are applied to guide manufacturing …

The recent introduction of low cost RGB-D depth sensors has made available 3D sensing
capabilities to many researchers and applications developers. Although the 3D sensing …

RGB-D cameras have become essential in robotics for accurate perception and object
recognition, enabling robots to navigate environments, avoid obstacles, and manipulate …

The use of Micro-Aerial Vehicles (MAVs) equipped with odometry-and depth sensors has
become predominant for a wide variety of challenging industrial applications such as the …

Object parts within a scene observed by the human eye exhibit their own unique depth.
Producing a single image with an accurate depth of field has many implications, namely …

This paper presents a robust framework for configuring and deploying a heterogeneous
team of smart unmanned systems and human agents in dynamic and un-modeled …

That the Microsoft Kinect, an RGB-D sensor, transformed the gaming and end consumer
sector has been anticipated by the developers. That it also impacted in rigorous computer …

Recently, several deep-learning based navigation methods have been achieved because of
a high quality dataset collected from high-quality simulated environments. However, the cost …

Camera setups with multiple devices are a key aspect of ambient monitoring applications.
These types of setups can result in data corruption when applied to recent RGB-D camera …