A5071387673- Indoor and Outdoor Localization Technologies
- Inertial Sensor and Navigation
- Robotics and Sensor-Based Localization
- Underwater Vehicles and Communication Systems
- Target Tracking and Data Fusion in Sensor Networks
- Astronomical Observations and Instrumentation
- Smart Agriculture and AI
- Structural Health Monitoring Techniques
- Radio Wave Propagation Studies
- Advanced Measurement and Metrology Techniques
- Speech and Audio Processing
- Energy Efficient Wireless Sensor Networks
University of Szeged
2023-2024
Obuda University
2023-2024
Buda Health Center
2023
Laboratoire de Chimie
2023
With the spread of Internet Things (IoT) different radio communication-based technologies are gaining more attention, and their application in indoor localization problems where GPS signal is not available, becomes relevant. This paper addresses trilateration algorithm-based position estimation approach localization; this uses Received Signal Strength Indication (RSSI) value with Free Space Path Loss (FSPL) model. Comprehensive laboratory measurements were performed namely 433 MHz RSSI, 2.4...
Terrain classification provides valuable information for both control and navigation algorithms of wheeled mobile robots. In this paper, a novel online outdoor terrain algorithm is proposed The based on only time-domain features with low computational memory requirements, which are extracted from the inertial magnetic sensor signals. Multilayer perceptron (MLP) neural networks applied as classifiers. tested measurement database collected using prototype system various types. Different...
Magnetometer-based localization is a challenging task both in indoor and outdoor applications since their reliability depends on the environmental characteristics. The obtained geomagnetic field enables estimation of orientation position if proper calibration data fusion with inertial measurement units (IMUs), GPS radio modules are executed. However, distortions by hard soft iron effects metallic objects building structures requires additional processing steps to obtain usable data. This...
Indoor localization plays a very important role both in mobile robotics and Wireless Sensor Networks (WSNs). With the spread of Internet Things (IoT), different technologies using radio waves are playing an increasingly crucial function. Among them, most used technology is WiFi. Usually Received Signal Strength Indicator (RSSI) to determine distance between two units. The relationship RSSI value determined by Free Space Path Loss (FSPL) model. parameters included this model affect estimation...
Mobile robot pose information is getting utilized in more and indoor applications. In this paper, a novel fingerprinting-based positioning method proposed. The utilizes magnetic field data together with measurements collected using anchors equipped multiple wireless technologies. fingerprints are used to train MultiLayer Perceptron (MLP) neural networks, which can later be estimate the 2D position based on sensor readings an unknown position. Real laboratory validate performance of method....
Accelerometers play a crucial role in localization problems, but their accuracy depends on the precision of calibration process. In this paper, comparison optimization algorithms is presented within scope between sensor error calibration. The Particle Swarm (PSO) and Genetic Algorithm (GA) are proposed for problem, tested three different setups. Moreover, MATLAB built-in fmincon minimization algorithm also evaluated parameter estimation. A custom fitness function to obtain misalignment bias...
This paper addresses accelerometer array calibration, focusing on determining the errors between multiple sensors. Micro-electromechanical system (MEMS) based triaxial accelerometers, key components of Inertial Measurement Units (IMUs), are used in localization, robotics, and navigation systems. The requirements these applications necessitate low-cost sensors, which makes MEMS IMUs a reasonable choice. However, significantly affected by systematic (i.e., bias, misalignment, scale-factor)...
The goal of the indoor localization is to determine position and orientation people, devices, mobile robots. With rise Industry 4.0, wireless communication technologies have emerged as a rapidly evolving crucial area for achieving this goal. Various radiocommunication-based technologies, including Bluetooth, Bluetooth Low Energy (BLE), Wi-Fi, Ultra-Wideband (UWB), ZigBee offer means indirectly estimate distance. These methods leverage diverse principles such time-based measurements, signal...
Accelerometers, gyroscopes, and magnetometers, constituting the Inertial Measurement Unit (IMU), are among most fundamental sensors utilized in localization problems. However, their utilization is a challenging task since reliability of measurements depends on precision executed calibration method. This paper proposes an industrial robot-based infield process numerical optimization aided framework, which does not need turntable nor dedicated expensive laboratory setup. The proposed method...
Indoor Positioning Systems (IPSs), which commonly rely on Wireless Sensor Networks (WSN), are gaining attention in various fields due to the emergence of Industry 4.0. In this paper, a novel Weighted K-Nearest Neighbor (WKNN) -based localization algorithm is proposed for fusion different wireless parameters. An experiment was set up evaluation and measurements were performed laboratory. The essence method that communication technologies, namely, 2.4 GHz WiFi Received Signal Strength...