A5076789517- Indoor and Outdoor Localization Technologies
- GNSS positioning and interference
- Underwater Vehicles and Communication Systems
- Target Tracking and Data Fusion in Sensor Networks
- Inertial Sensor and Navigation
- Context-Aware Activity Recognition Systems
- Millimeter-Wave Propagation and Modeling
- Radio Wave Propagation Studies
- Wireless Networks and Protocols
- Energy Efficient Wireless Sensor Networks
- Privacy-Preserving Technologies in Data
- Advanced Frequency and Time Standards
- Human Mobility and Location-Based Analysis
- IoT-based Smart Home Systems
- Cryptography and Data Security
- Geophysics and Gravity Measurements
- Speech and Audio Processing
- Bluetooth and Wireless Communication Technologies
- Video Surveillance and Tracking Methods
- Security in Wireless Sensor Networks
- Scientific Measurement and Uncertainty Evaluation
- Distributed Sensor Networks and Detection Algorithms
- Fault Detection and Control Systems
- Automated Road and Building Extraction
- Augmented Reality Applications
Tampere University
2009-2021
Tampere University
2017
Tampere University of Applied Sciences
2004-2016
Internet of Things (IoT) connects sensing devices to the for purpose exchanging information. Location information is one most crucial pieces required achieve intelligent and context-aware IoT systems. Recently, positioning localization functions have been realized in a large amount However, security privacy threats related not sufficiently addressed so far. In this paper, we survey solutions improving robustness, security, location-based services First, provide an in-depth evaluation both...
Benchmark open-source Wi-Fi fingerprinting datasets for indoor positioning studies are still hard to find in the current literature and existing public repositories. This is unlike other research fields, such as image processing field, where benchmark test images Lenna or Face Recognition Technology (FERET) databases exist, machine learning huge available example at University of California Irvine (UCI) Machine Learning Repository. It purpose this paper present a new openly fingerprint...
This paper presents the design and implementation of Bluetooth local positioning application. Positioning is based on received power levels, which are converted to distance estimates according a simple propagation model. The extended Kalman filter computes 3D position estimate basis estimates. With used hardware, mean absolute error was measured be 3.76 m. accuracy can improved if devices able measure levels more precisely.
Accurate position information is nowadays very important in many applications. For instance, maintaining the situation awareness command center emergency operations crucial. Due to signal strength attenuation and multipath, Global Navigation Satellite Systems are not suitable for indoor navigation purposes. Radio network-based positioning techniques, such as wireless local area network, require infrastructure that often vulnerable situations. We propose here a distributed system personal...
In the last decade, we observed a constantly growing number of Location-Based Services (LBSs) used in indoor environments, such as for targeted advertising shopping malls or finding nearby friends. Although privacy-preserving LBSs were addressed literature, there was lack attention to problem enhancing privacy localization, i.e., process obtaining users' locations indoors and, thus, prerequisite any LBS. this work present PILOT, first practically efficient solution Privacy-Preserving Indoor...
This paper presents the design and implementation of a local positioning prototype. The prototype implements received signal power level based on IEEE 802.11b wireless LAN (WLAN) platform. In addition to WLAN adapter, includes host PC, which runs application. application computes displays position estimates basis measurements performed by adapter. A propagation model an extended Kalman filter are used for enhancing estimates. With hardware, mean absolute error was measured be 2.6 m.
As satellite signals, e.g. GPS, are severely degraded indoors or not available at all, other methods needed for indoor positioning. In this paper, we propose combining information from inertial sensors, map, and WLAN signals pedestrian navigation. We present results of field tests where complementary extended Kalman filter was used to fuse together signal strengths an sensor unit including one gyro three-axis accelerometer. A particle combine the data with map information. The show that both...
This paper presents a flexible approach to ubiquitous positioning technologies on smart phone. It deploys three optional indoor/outdoor locating solutions based Multi-sensor, Satellite, and Terrestrial techniques. The cover six locators including Integrated GPS (Global Positioning System), Bluetooth GPS, AGPS (Assisted GPS), Network based, Multi-sensors, Wireless LAN (WLAN). In order merge multi techniques phone, five-layer software architecture is developed Symbian S60 platform. Moreover,...
In this paper we propose a Collaborative Mapping (CM) method based on the exploitation of WLAN Received Signal Strength (RSS) measured from short-range ad-hoc links between neighboring devices. The estimated spatial proximity allows on-the-fly calibrations heterogeneous clients for Location Fingerprinting (LF) applications. This can avoid long time-consuming and battery-draining when implementing applications running mass market
In this paper, questions related to design of WLAN radio map for fingerprinting based positioning were investigated. The experiment results show that with histogram algorithms, the accuracy improves as number bins increases until reaches eight. With lower than this, uneven bin distribution separate missing samples gives better even widths. If calibration data contains from several measurement directions, it is beneficial combine them into one fingerprint, decreases size and at least same...
Abtract - The objective of this research is to improve reliability and positioning accuracy a mobile, standalone GNSS receiver in personal positioning. We propose novel algorithm that fuses carrier information with code phase measurements uses the additional security feature autonomous integrity monitoring (RAIM) fault detection exclusion (FDE) order detect exclude erroneous measurements. weighted least squares (WLS) method completed RAIM/FDE used compute GPS position velocity estimates from...
In this paper, we propose a solution for avoiding extensive time consuming path loss calibrations when performing RSS-to-distance conversions indoor mobile positioning with heterogeneous mobiles. By exploiting RSS measurements and ad-hoc link communications prove the concept of cooperative calibration demonstrate it in WLAN 802.11 network. Moreover results obtained phase will be applied to algorithm developed previous works.
This paper presents a method for improving the accuracy of extended GNSS satellite orbit predictions with convolutional neural networks (CNN). Satellite are used in self-assisted to reduce Time First Fix positioning device. We describe models we use predict and present improvement that uses CNN. The CNN estimates future prediction errors our model these correct predictions. also how network can be implemented into algorithm. In tests GPS BeiDou data, significantly improves accuracy. For...
Nowadays mobile applications demand higher context awareness. The aim to understand the user's (e.g., home or at work) and provide services tailored users. algorithms responsible for inferring are so-called inference algorithms, place detection being a particular case. Our hypothesis is that people use phones differently when they located in different places (e.g. longer calls than work). Therefore, usage of could be an indicator users' current context. objective work develop system can...