At the present time, water and sewer pipe networks are predominantly inspected manually.
In the near future, smart cities will perform intelligent autonomous monitoring of buried pipe …

For a robot, an animal, and even for man, to be able to use an internal representation of the
spatial layout of its environment to position itself is a very complex task, which raises …

Mobile robot localization is the problem of determining a robot's pose from sensor data. This
article presents a family of probabilistic localization algorithms known as Monte Carlo …

This article describes the software architecture of an autonomous, interactive tour-guide
robot. It presents a modular and distributed software architecture, which integrates …

Localization, that is the estimation of a robot's location from sensor data, is a fundamental
problem in mobile robotics. This papers presents a version of Markov localization which …

Over the past few years, particle filters have been applied with great success to a variety of
state estimation problems. In this paper we present a statistical approach to increasing the …

Over the last years, particle filters have been applied with great success to a variety of state
estimation problems. We present a statistical approach to increasing the efficiency of particle …

Localization is the problem of determining the position of a mobile robot from sensor data.
Most existing localization approaches are passive, ie, they do not exploit the opportunity to …

Particle filters estimate the state of dynamical systems from sensor information. In many real
time applications of particle filters, however, sensor information arrives at a significantly …

Pipelines are backbone of the transportation of gases and liquids such as oil, gasoline,
water, and sewage. However, pipelines are constantly aging and sustaining damage, which …