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.
This paper presents a novel method for using an ultra-wideband (UWB), super high frequency (SHF) pulse-echo radar sensor as a biomimetic sensing mechanism to successfully solve the Simultaneous Localization and Mapping (SLAM) problem. Due to recent advances in consumer radar technology it has become possible to sample the received echo signals well above their Nyquist frequency. This Nyquist-conform...
The major challenges for optical based tracking are the lighting condition, the similarity of the scene, and the position of the camera. This paper demonstrates that under such conditions, the positioning accuracy of Google's Tango platform may deteriorate from fine-grained centimetre level to metre level. The paper proposes a particle filter based approach to fuse the WiFi signal and the magnetic...
This paper presents the IndoorLoc Platform, a public repository for comparing and evaluating indoor positioning algorithms and sharing datasets. The proposed web platform can be used to download datasets, learn how some well-known algorithms work, study the implementation of those algorithms, test the methods, and even upload indoor positioning estimations of the user's methods to check the accuracy...
Pedestrian positioning is still a challenging field of interest when not receiving any GNSS or other reference signals as it might be the case in indoor environments or tunnels. For professional applications, where it is not possible to rely on any infrastructure, a common technique is to mount Inertial Measurement Units (IMUs) on the foot or other parts of the body for positioning. IMU based techniques...
Urban environment constitutes a challenging area for pedestrian navigation. However, with the recent increase of pedestrians owning devices (e.g. smartphones), complementary data provided by integrated low cost sensors (camera, Inertial and Magnetic Measurement Unit and GNSS receiver) may be used in a coupling process to accurately estimate the pose (i.e. 3D position and 3D orientation) of a handheld...
Given a list of positioning measurements in location server, how to accurately estimate the user position is an open problem. We propose to apply particle swarm optimization (PSO) to estimate user position which can well explore the measurements including TDOA, TOA, DOA, and so on. Simulation results show that the PSO algorithms can significantly improve the positioning accuracy compared to current...
This paper presents a novel methodology to obtain a measure of the difficulty of a scenario to obtain accurate localization results when testing an indoor positioning method. The variables used to measure indoor localization methods' accuracy are strongly dependent on the radio map used to test them. This makes it hard to compare different methods' performance. The proposed RMID indicator can be used...
This work presents a real-time localization system developed for professional care givers to track residents of an aged care facility during their visits to a crowded, multi-story shopping mall. The proposed system consists of a Wi-Fi based self-localization platform integrated into a wheeled walking frame and an application installed in a hand-held tablet device for displaying the locations of walker...
Due to lack of GPS signals' indoor coverage, the implementation of Signals of Opportunity (SoOp) such as FM signals, Wi-Fi, Bluetooth, RFID, and Cellular Networks for indoor localization has been considered. Not all SoOp are good performers because of some constraints; for instance, lack of accuracy, higher cost in deployment, additional hardware requirements. In this research, a new method of indoor...
Magnetic is a promising technical for positioning in the GNSS denied scenarios such as parking lot and tunnel, since the magnetic field exists everywhere on the earth. In this paper, for vehicle navigation, an odometry assisted magnetic matching algorithm is proposed, in which the magnetometer and the odometry of vehicle are used. The proposed scheme consists of two phases: offline phase and online...
Indoor environments are becoming more and more sensorized. Technologies such as Bluetooth, Wi-Fi and RFID are commonly used to provide connectivity to people living in such spaces. However, these technologies can also be exploited to automatically detect empty/occupied indoor areas and who is occupying that area. Our work goes toward such direction proposing an occupancy detection strategy based on...
Monitoring the displacements of structures caused by slight or big seismic shakings and landslides the irrespective of observation points by simply taking the data using a single equipment is useful. GNSS antennas and receivers on the roof of a steel tower to monitor the displacement of the structure caused by the wind etc. has already been reported, but ours is the first study on a low-cost GNSS...
We present a method to improve the accuracy of a foot-mounted, zero-velocity-aided inertial navigation system (INS) by varying estimator parameters based on a real-time classification of motion type. We train a support vector machine (SVM) classifier using inertial data recorded by a single foot-mounted sensor to differentiate between six motion types (walking, jogging, running, sprinting, crouch-walking,...
A foot-mounted pedestrian dead reckoning system is a self-contained technique for indoor localization. An inertial pedestrian navigation system includes wearable MEMS inertial sensors, such as an accelerometer, gyroscope, barometer, or magnetometer, which enable the measurement of the step length and the heading direction. In this plan, a method based on IMU/EKF+HMM+ZUPT+ZARU+HDR+the Earth Magnetic...
With the increasing sensing ability of smartphone, both recognizing and understanding a user's activity using sensor data have become a popular topic of ubiquitous computing systems. Individual transportation mode identification can provide essential data for road planning and traffic management. In this paper, we present a Convolutional Neural Networks (CNN) based method to extract expressive and...
This paper presents a sensor fusion algorithm to estimate step-size for pedestrian navigation using multiple low-cost wearable inertial sensors. A sensor data logger is developed for reading multiple low-cost sensors. A treadmill experiment with an optical motion capture system is conducted for algorithm evaluation. A INS-ZUPT Kalman filter is implemented to estimate stride length from each foot mounted...
The technology for detection of indoor location information has been attracting much attention in the recent past, since such information can be utilized for navigation and marketing research. The commonly used indoor location detection methods are Wi-Fi positioning, Bluetooth Low Energy (BLE) beacons and Pedestrian Dead-reckoning (PDR). PDR can provide location information relative to the original...
Self-organization is critical to enable novel indoor Location-Based Services (LBSs) for users and businesses in large, complex and unstructured buildings. Inspired by high densities of smartphones in public indoor spaces, in this paper we propose a self-organizing indoor localization approach that allows the use of available WiFi Access Points (APs) and iBeacons in the area to improve location accuracy...
In this paper, an indoor positioning system of pedestrian dead reckoning (PDR), with WiFi fingerprint and map-matching techniques, is proposed on a smartphone. Based on five different holding styles, which are classified by using decision tree method, the proposed system supports the user in a more freedom of holding style while walking but still be able to track the location of the user accurately...
In the context of fingerprinting (FP) applications, this paper investigates the reduction of quantization levels in the Received Signal Strength Indicator (RSSI) till to its binary representation. One of the common drawbacks of FP is the large data size and consequently the large search space and computational load as a result of either vastness of the positioning area or the finer resolution in the...
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.