Iterative localization algorithms are critical part in the control of mobile autonomous robots because they feed fundamental position information to the robots. In a harsh unknown environment, the estimation of environmental noise is hardly obtained during the movement of the robots. It means that the state-of-the-art methods, which increase localization accuracy using error management, are uns...

In this paper, we present the design and performance analysis of an innovative system for tracking Automated Guided Vehicles (AGVs) in indoor industrial scenarios. An on-board odometer provides information about the dynamic state of the AGV, allowing to predict its pose (i.e., its position and orientation). At the same time, an external Ultra-Wide Band (UWB) wireless network provides the inform...

Wireless Sensor Networks (WSNs) support data collection and distributed data processing by means of very small sensing devices that are easy to tamper and clone: therefore classical security solutions based on access control and strong authentication are difficult to deploy. In this paper we look at the problem of assessing the reliability of node localization data from a game theoretical viewp...

We propose a method that finds the position and orientation of an acoustic source in an enclosed environment. For each of eight T-shaped arrays forming a microphone array network, the time delay of arrival (TDOA) of signals from microphone pairs, a source position candidate, and energy related features are estimated. These form the input for artificial neural networks (ANNs), the purpose of whi...