In this paper, we present a novel mapping system that robustly generates highly accurate 3-
D maps using an RGB-D camera. Our approach requires no further sensors or odometry …

At the light of the fundamentals of Compressive Sensing (CS) presented in Chapter 3, it is
clear that the phase-shift-based ToF imaging systems described in Chapter 2 offer an …

The mapping of environments is a prerequisite for many navigation and manipulation tasks.
We propose a novel method for acquiring 3D maps of indoor scenes from a freely moving …

RGB-D sensors are capable of providing 3D points (depth) together with color information
associated with each point. These sensors suffer from different sources of noise. With some …

The capture and digital reconstruction of tridimensional objects and scenarios are issues of
great importance in computational vision and computer graphics, for the numerous …

Internet of Things (IoT) is driving innovation in an ever-growing set of application domains
such as intelligent processing for autonomous robots. For an autonomous robot, one grand …

In recent years, commercially available mobile robots, that operate in indoor environments,
have found their ways into private homes, office environments, and industrial settings. They …

In the future, service robots are expected to perform many useful tasks in domestic
environments such as cleaning or tidying up. If they performed these tasks autonomously …

En el presente siglo, la captura de información 3D se ha abaratado especialmente, gracias
a los avances en hardware. El nivel de información generado por los sensores 3D …

A navegação e a interpretação do meio envolvente por veículos autónomos em ambientes
não estruturados continua a ser um grande desafio na actualidade. Sebastian Thrun …