Abstract
The pose estimation of a mobile robotic system is essential in many autonomous applications. Inertial sensors provide high-frequency measurements that can be used to estimate the displacement, however, for estimating the orientation, an additional filter is required. Some of the newest Attitude and Heading Reference Systems can provide a referenced estimation of the orientation of the device, allowing it to retrieve the orientation of a robotic system. However, magnetic field perturbations caused by ferromagnetic objects or induced magnetic fields might influence these systems and, consequently, lead to the accumulation of errors over time. In this paper, the performance of the Xsens fusion filter is compared with a stateof-the-art algorithm to estimate the orientation of the system under dynamic movements and in the presence of magnetic perturbations, with the goal of finding the most suitable for an Unmanned Aerial Vehicle. The results show that both filters are robust and perform well in the target scenario, with a root mean squared error between 2 and 5 degrees; however, the Xsens fusion filter does not require an extra computer to process the data.

Abstract
Nowadays location systems are used within a large variety of applications. The application of these systems within indoor environments is already provided by several solutions. However, the need for high accuracy within these environments to pursue such purpose implies the use of specific infrastructures designed towards it. Our project tries to meet the requirements for a simple, low-cost, and scalable location system through different approaches. The main idea of it is to re-construct topological maps of indoor spaces through location estimation, i.e. using off-the-shelf technologies. We try to perform location estimations and then re-create the indoor maps as topological maps as a means of reducing the precision requirements other systems have, and develop a scalable and highly applicable system using sensors featuring mobile devices.

Abstract
Nowadays location systems are used within a large variety of applications. The application of these systems within indoor environments is already provided by several solutions. However, the need for high accuracy within these environments to pursue such a purpose implies the use of specific infrastructures designed towards it. Our project tries to meet the requirements for a simple, low-cost, and scalable location system through different approaches. The main idea of it is to re-construct topological maps of indoor spaces through location estimation, and to serve as a means of reducing the precision requirements other systems may have to develop a scalable and highly applicable solution. © 2012 Authors.

Abstract
In this paper we report on a methodology to model pedestrian behaviours whilst aggregate variables are concerned, with potential applications to different situations, such as evacuating a building in emergency events. The approach consists of using UWB (ultra-wide band) based data collection to characterise behaviour in specific scenarios. From a number of experiments carried out, we detail the single-file scenario to demonstrate the ability of this approach to represent macroscopic characteristics of the pedestrian flow. Results are discussed and we can conclude that UWB-based data collection shows great potential and suitability for human trajectory extraction, when compared to other traditional approaches.

Abstract
The development of intelligent wheelchairs is a very good solution to assist severely handicapped people who are unable to operate classical electrical wheelchair by themselves in their daily activities. This paper describes the integration of a robotic simulator with our intelligent wheelchair shared control and planning modules. An adapted version of the free Cyber-Mouse robotic simulator was used to simulate the movement of the intelligent wheelchair in a hospital environment. Adaptations of the subsumption architecture, Strips Planning and A* Algorithms were employed and integrated to allow wheelchair intelligent behavior. The experimental results have demonstrated the success of the integration of these algorithms in our simulator allowing very safe motion of the intelligent wheelchair in the simulated hospital environment. Also, the adapted Cyber-Mouse simulator proved its capability and robustness in simulating the hospital environment and wheelchair physic characteristics.

Abstract
The area of object/people location consists on the identification of their instantaneous movement in a given area of space and during a given time frame. This location takes an important role because it can help rectify trajectories (in the case of autonomous objects) or improve the performance (in the case of sport practices). In this research project, a system based on RFID that automatically rectifies a location and calculates a wheelchair trajectory in a pre-defined route will be presented. For that, a commercial location system was used as well as a wheelchair and two routes: a linear one and a complex route. In order to correct the trajectory a low pass filter was also used. The obtained results showed that this approach decreased 38% of the mean squared error and in more than 7 centimeters the maximum error. In the future this research work will be enclosed in a new project where a multi agent system capable of executing a management of an autonomous wheelchair set in a hospital environment will be developed. © 2011 AISTI.