The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Ultra-wideband (UWB) is a promising positioning system that has undergone massive research development in recent years. Most UWB systems assume prior knowledge on the positions of the UWB anchors. Without knowing the anchor positions, an accurate position estimate of a user is difficult. Hence, this paper presents a novel simultaneous localization and mapping (SLAM) approach for pedestrian localization...
This paper describes the state of the art of indoor positioning. It describes the Wi-Fi auto-calibration phase of a fast and adaptive algorithm to calculate the position of access-points in a heterogeneous environment such as a building, house or flat. Our proposal can track a mobile terminal in a building with a minimum of preparation. This deployment simplicity relies on the auto-calibration phase...
This paper assesses the estimation of the orientation of a camera rigidly attached to a vehicle body using vanishing points and then uses the estimated rotation to rectify images for navigation in indoor environments. The approach is facilitated by the fact that many indoor environments are rich in vertical and horizontal lines that are used for detecting vanishing points. The performance of the monocular-based...
In recent years, fields such as industrial automation, virtual and augmented reality and autonomous robotics increased the demand for location-awareness of electronic devices. Image sensor based inside-out localization and tracking systems are sufficiently accurate to determine the position and orientation of electronic devices. Without additional sensors however, these systems are impaired in reaching...
In the Internet of Things, location information is crucial for many applications. We want to obtain location information from a device by using its existing communication modality. DASH7 is designed for low power sensor and actuator communication on a medium range, using the license exempt radio frequency channels below one gigahertz. In this paper, we present a method to localize a DASH7 mobile node...
In this paper a new approach to indoor localization with Bluetooth beacons is presented. The developed localization algorithm is based on the use of fuzzy path loss models and particle swarm optimization which is the main novelty of this paper. The fuzzy path loss model of each beacon is obtained with a supervised, hierarchical clustering algorithm (SUHICLUST) which accurately describes collected...
The calibration (measurement of the position) of a network of wireless nodes used for indoor localization purposes is a tedious process and prone to errors if done manually. This paper presents a method for the autocalibration of that network, using the measurement of the received signal strength (RSS) of RF signals coming from the nodes, and captured while a person is taking a random walk in the...
We present real time indoor localization in the multi-story building using 3D particle filter. Filtration takes place in three dimensional space. Presented method incorporates information from inertial sensors, Wi-Fi signal strength, barometric and building data. We also describe additional methods for determining final locations. Algorithm was tested in multi-story office building and results show...
Despite of the ultra-wideband (UWB) system's robustness against multipath in cluttered environments, a number of challenges remain before UWB localization can be implemented. In particular, non-line-of-sight (NLOS) propagation is especially critical for high-resolution localization systems because non-negligibly positive biases will be introduced in distance measurements, thus degrading the localization...
Bluetooth Low Energy (BLE) beacons are attractive for indoor location due to their ease of deployment, wide support on consumer devices and low cost. Co-ordinate location can be estimated using radio fingerprinting techniques applied to Received Signal Strength (RSS) values from BLE beacons. Earlier work on BLE fingerprinting has noted that the separate BLE advertising channels can exhibit different...
We explore a new sensor suite to provide a precise and robust navigation information, primarily intended for pedestrian localisation. We use an IMU sensor augmented with an array of magnetometers, called MIMU (for Magneto-Inertial measurement Unit) hereafter, and a single central camera as the vision sensor. The MIMU sensor has been shown in previous work to significantly improve the inertial dead-reckoning...
Complementary data are necessary to bind the positioning error growth of Pedestrian Dead Reckoning (PDR). In this paper, absolute position updates are made possible with the online detection of different types of points of interest (POIs) located on the map. The POIs are selected depending on specific motion patterns which are associated to absolute locations on the map. To create the POIs database,...
Indoor applications based on vehicular robotics require accurate, reliable and efficient localisation. In the absence of a GPS signal, an increasingly popular solution is based on fusing information from a dead reckoning system that utilises on-board sensors with absolute position data extracted from the environment. In the application considered in this paper, the information on absolute position...
Many indoor navigation systems have been developed for pedestrians and assessing their performances is a real challenge. Benefiting from a reference solution that is accurate enough to evaluate other indoor navigation systems and assist novel research is of prime interest. The design and algorithms of a foot-mounted reference navigation system titled PERSY (PEdestrian Reference SYstem) are presented...
A magnetic indoor positioning system utilizes distorted geomagnetic fields indoors to estimate locations. However, existing magnetic positioning methods have difficulties in positioning, especially in a wide space because of the ambiguity of magnetic data. Multiple magnetic sensors should work in collaboration to yield a high accuracy, hindering the techniques from being used by mobile devices such...
Wearable devices are a key driver for the development of pedestrian navigation systems. In this work, we consider inertial navigation systems (INSs). There is a diversity of such INSs. Normally, the comparison of INSs is restricted to indoor environments, or to outdoor small areas. However, it is of interest to study the behaviour of INSs in large areas. To that end, we present a ground truth system...
The number of applications that rely on robust indoor localization is constantly growing. Conventional outdoor localization technologies are generally not suited for indoor use. WiFi-based indoor localization systems are a widely studied alternative since the necessary infrastructure is already available in most buildings. Existing WiFi-based localization algorithms, however, still face challenges...
Unmanned Air Vehicles (UAVs) lend themselves to provide rescue forces with important information beyond their own field of vision. In this paper, we present a two-part yet synergetic navigation and mapping system for indoor reconnaissance and surveillance through aerial platforms. It faces inherent drawback of common Simultaneous Localization and Mapping (SLAM) approaches: map errors cannot be excluded...
The evolution of an existing offline algorithm for smartphone based indoor localization is outlined, discussed and evaluated. The existing algorithm performs dead reckoning using accelerometer-, compass- and gyroscope data. Accelerometer data is used to detect step events. Compass and gyroscope are used for heading estimation. Drift compensation and step length estimation is performed by a particle...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.