ETH - Indoor Positioning & Indoor Navigation


13:15 - 13:45	Mareike Kritzler (presenting author), Antonio Krüger: Tracking Framework for Heterogeneous Sensor Sources This extended abstract describes a scale-independent (space and time) tracking framework for moving items (objects, animals, humans). Different sizes and characteristics of tracked items are considered as well as different tracking environments or contexts. This work enables the integration and processing of spatial temporal data obtained by heterogeneous sensor sources. The framework does not rely upon nor is it limited to one tracking / positioning technology but instead considers the combination of several technologies to calculate the desired (best) positioning result. The data is processed in a core and provided by different internal and external interfaces. The framework consists of different applications. One appli-cation is used for visualization of tracking environments and tracked items. Other applications analyze large amounts of tracking data e.g. via machine learning techniques. Two different use cases (laboratory mice / service technicians) are used to develop the framework.

13:45 - 14:15	Eduardo Metola (presenting author, Data Processing and Simulation Group at the Universidad Politécnica de Madrid), Ana M. Bernardos, Henar Martín, José R. Casar: A Fusion Component for location management in mobile devices When indoors, several positioning technologies and systems may coexist (e.g. WiFi, Bluetooth, ZigBee, HF-RFID or bidi codes serving as beacons, cellular networks, etc.), each of them will deliver its location estimates with a given accuracy at a given computational cost. In this paper, we describe a Mobile Fusion Component (MFC) -prepared to run in the mobile device- which aims at optimizing the selection of the available positioning systems by handling Quality-of-Location (QoL). QoL characterizes the reliability of the location estimate in terms of accuracy, availability and freshness. The objective of the MFC is to offer the (best) location estimation which fulfills the consumer applications’ QoL needs, at the same time that minimizes resource consumption in the mobile device. Additionally, the MFC provides seamless hand-off among location technologies and allows the user to establish his own privacy level for location data sharing. The MFC is part of a service-oriented mobile framework which offers ‘Context Acquisition Services anD Reasoning Algorithms’ (CASanDRA Mobile) to accelerate the development of context-aware applications.

14:15 - 14:30	Magda Chelly (presenting author at TELECOM SudParis) and Nel Samama: Detecting Visibility in Heterogeneous Simulated Environments for Positioning Purposes In previous research, we elaborated positioning systems based on heterogeneous data, such as GNSS and Wi-Fi, in order to calculate a 3D geographical position of mobile equipments. The results were quite interesting and encouraged us to study a more automatic positioning system with a transparent migration between different environments and equipments, without implementing any additional infrastructure. The aim of the paper is to describe the simulation system through the following steps: • Simulating a 3D environment with equipments using different technologies of mobile communication. • Elaborating mobility models towards these environments with a transparent transition between indoors and outdoors. • Developing and studying the concept of visibility of the equipments using different mathematical and physical methods. • Applying the previous steps towards a global positioning model taking advantage of telecommunication networks.

14:30 - 14:45	Kai Marcus Stübbe , Uwe Rüppel, Uwe Zwinger (presenting author): Indoor Navigation Integration Platform for Firefighting Purposes In Germany about eighteen fire fighters loose their lives and more than 16.000 accidents happen on duty every year. One of the main problems is the orientation inside of complex buildings during operations especially if rooms are full of smoke. Route cards (printed on paper) to find fire detectors in buildings, are means, which often do not meet all requirements with regard to orientation and up-to-datedness. The aim of the presented research project “Context Sensitive Indoor-Emergency-Navigation-System for Complex Buildings” is to develop a solution for response and recovery to support rescuers in finding the shortest way within a complex building. Existing Building Information Models (BIM) are exported and used for displaying plans on mobile devices and for routing purposes. The Indoor Navigation is based on Wireless LAN, Ultra-Wide-Band and Radio Frequency Identification (RFID).

14:45 - 15:00	Zirari Soumaya (presenting author), Philippe Canalda, Hakim Mabed, François Spies: Combined Indoor and Outdoor DOP criteria helpful to position and dimension The democratization of wireless networks, combined with the emergence of increasingly autonomous and efficient mobile devices, leads to new services. Positioning services become overcrowded. Accuracy is the main criterion applied in positioning systems. But a good accuracy can not be guaranteed because it depends on the environment where the user is located and on the positioning systems used (GNSS, GSM or Wi-Fi). To overcome this disadvantage, hybridization or combination is the best solution. In this paper, first, we introduce hybrid dilution of precision criteria, that allow the choice of the system for positioning on indoor and outdoor environments. Second and finally, we present an algorithm for combined positioning.

Oral Presentations (Poster Teasers)


15:00 - 15:02	Pieter Becue (presenting author), Jen Rossey, Pieter De Mil, Ingrid Moerman: Generic architectural framework for hybrid positioning (Poster Teaser) A myriad of positioning algorithms have been developed in the last few years. A standalone solution generally does not offer sufficient accuracy in different environments (indoor/outdoor, different type of buildings…). We propose an easy-to-use generic positioning framework, which allows users to plug in a single or multiple positioning algorithms. Multiple positioning algorithms can be active at the same time. A reasoner is used to select the algorithm giving the most accurate position or to intelligently combine the results of multiple algorithms into a more accurate (hybrid) position. Different wireless technologies (Wi-Fi, ZigBee, Bluetooth …) can be used with this framework. We illustrate the usability of the framework by discussing a hybrid positioning solution. The proposed solution has been tested in different real life environments (office, arts center, care home) and results in an average error of 2 meters, with room accuracy guaranteed.

15:02 - 15:04	Bastian Blywis (presenting author), Mesut Güneş, Felix Juraschek, Steffen Gliech: A Localization Framework for Wireless Mesh Networks (Poster Teaser) Indoor localization is a service that could be provided by many already deployed IEEE 802.11 wireless networks and enable to find people, printers, or rooms in large office buildings without any additional costs. For this, we developed a framework for the study of various localization algorithms in a testbed environment. The Anchor-Free Distributed Localization-Algorithm (AFL) was implemented as a proof of concept. We discuss several problems that arose when an algorithms that has been previously studied only in simulation environments is transferred into a real world scenario. An initial experiment series was run in the DES-Testbed, a multi-transceiver mesh network and highlighted many issues due to under-specification or problems that do not arise with abstract models in simulations.

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