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This paper introduces an efficient probabilistic approach with RSSI fingerprinting for Indoor Localization. A Shannon's Entropy based access points (APs) selection is considered. Once the APs selection is performed, a probability is assigned to each training fingerprint based on RSSI measurements. Then, the user's location is estimated as a combination of training positions weighted with their corresponding...
The work of this paper is done within the context of European Project E! 9770 i-Light, which aims at developing intelligent systems based on smart luminaries for building monitoring. The work presented in this paper extends the work from i-Light project towards a smart guiding system for buildings. The system is based on the use of smart luminaries and drones. One of the main targets of such a system...
Reliably localizing and tracking displays moving relative to content in the physical world is one of the primary technical challenges facing all augmented reality systems. While significant progress has been made in recent years, all approaches remain limited to functioning only in certain environments and situations. Attempts to improve solution generality via additional sensors (e.g., depth sensors,...
The proposed localization method for graphical objects of scene image is invariant to the illuminance conditions, scale, offset and rotation of the objects. The method is based on a vector representation of scene image and searched object. Model for building of object pattern and algorithm of its recognition are represented. Experimental results for real images are shown.
In this demonstration we present ACCES, a novel framework that enables quality assessment of arbitrary fingerprint maps and offline accuracy estimation for the task of fingerprint-based indoor localization. Our framework considers collected fingerprints disregarding the physical origin of the data. First, it applies a widely used statistical instrument, namely Gaussian Process Regression (GPR), for...
An increasing number of simultaneous localization and mapping (SLAM) systems are using appearance-based localization to improve the quality of pose estimates. However, with the growing time-spans and size of the areas we want to cover, appearance-based maps are often becoming too large to handle and are consisting of features that are not always reliable for localization purposes. This paper presents...
Indoor localization is a key enabling technology for numerous location based services (LBS). A promising indoor localization technique is location fingerprinting (LF), having the major advantage of exploiting already existing radio infrastructures. LF can accurately estimate the user's location providing reliable RF fingerprints, that are unique and stable over time, are available. We propose a method...
In emergency situations such as fires in homes and offices, it is often the case where members of a response team (eg. firefighters) are not able to locate each other due to fire and smoke. It is desirable to have a system which is able to locate all personnel such that a team leader can monitor their location and to enable the firefighters themselves to know their proximity to other firefighters...
A novel paradigm to detect smartphone physical capture attacks is proposed. Using received signal strength indicator and general system problem solving framework, the paradigm recognizes indoors moving pattern of a phone user. Most existing approaches in detection of physical capture attacks focus on protecting the network not the device. This paradigm concentrates primarily on safeguarding the security...
We model the performance of the resources in a smart or intelligent building, such as a library or future museum, which relies on advanced localization, complex sensing and actuating, and possibly higher level cognitive modeling or artificial intelligence. Our focus is on establishing a quantitative link between the localization accuracy and the customer quality of service from their interaction with...
Tele-robotic localization systems vary in implementation, but the cost of building such solutions is high. Therefore, utilizing such solutions in complex areas becomes a very difficult choice. Can we send a high-end costly solution to a hazardous or military location where it can be destroyed or lost? Or is it feasible to use such solution in routine work at home or in office for example? To answer...
Indoor Positioning Systems (IPS) have recently received considerable attention, mainly because GPS is unavailable in indoor spaces and consumes considerable energy. On the other hand, predominant Smartphone OS localization subsystems currently rely on server-side localization processes, allowing the service provider to know the location of a user at all times. In this paper, we propose an innovative...
Geolocation of wireless emitters using Received Signal Strength Difference (RSSD) and site-specific propagation models offers the advantages of increased accuracy and operation with non-cooperative emitters (where emitted power level or positional information such as GPS from the emitter is unavailable) over more commonplace Received Signal Strength (RSS) systems. An important factor influencing the...
The aim of the SAFESENS (Sensor Technologies for Enhanced Safety and Security of Buildings and its Occupants) project is to obtain earlier and more reliable fire detection, along with accurate occupancy detection and first responders' health condition and indoor location monitoring. In this paper, an analysis of the requirements requested by the tracking system is shown, together with an overview...
The concept of devices cooperatively assisting with the localization of other devices in either the indoor or outdoor arena is not a new phenomenon. The primary focus of research into such a theory is however, limited to solving the problem of localization accuracy. In this work, the motivation is to provide a solution to the current range limitations of an Indoor Position System (IPS) in the form...
Indoor localization has been widely studied due to the inability of GPS to function indoors. Numerous approaches have been proposed in the past and a number of these approaches are currently being used commercially. However, little attention was paid to the privacy of the users especially in the commercial products. Malicious individuals can determine a client's daily habits and activities by simply...
This article focuses on the ability to use a robot with a low cost 3D Scanner (Kinect) in an indoor environment to do a mapping of different rooms in a building and to be able to localize itself when going back to the same room. This method uses SIFT points (points of interest in images) to be able to reconstruct the environment in 3D and uses these SIFT points to identify the localization of the...
Any application that would depend on indoor positioning may need an exact location. Our work on indoor localization in 3D using spherical co-ordinates would have an edge to all the future needs. A combination of Pico, Femto, Wi-Fi, otherwise termed as hybrid localization techniques are used in conjunction with leveling and sectoring. Leveling and sectoring are implemented using base station and Wi-Fi...
With the proliferation of Internet of Things (IoT) devices such as smartphones, sensors, cameras, and RFIDs, it is possible to collect massive amount of data for localization and tracking of people within commercial buildings. Enabled by such occupancy monitoring capabilities, there are extensive opportunities for improving the energy consumption of buildings via smart HVAC control. In this respect,...
This paper presents a planning approach for solving the global localization problem using an arrangement of rooms to compress the original map. The approach is based on architectural design features of the building such as walls and doors to help the robot on finding the best route to go. Lighter POMDP plans are generated only for representative rooms of the environment, decreasing size of the set...
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