Peter Šarčević
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View article: A Novel Shallow Neural Network-Augmented Pose Estimator Based on Magneto-Inertial Sensors for Reference-Denied Environments
A Novel Shallow Neural Network-Augmented Pose Estimator Based on Magneto-Inertial Sensors for Reference-Denied Environments Open
Magnetic, angular rate, and gravity (MARG) sensor-based inference is the de facto standard for mobile robot pose estimation, yet its sensor limitations necessitate fusion with absolute references. In environments where such references are …
View article: Erratum to “A closed-form formula-based method for magnetic dipole localization in a constant magnetic field by measurement of its magnetic field vectors and magnetic gradient tensors”. [J. Magn. Magn. Mater. 629 (2025) 173313]
Erratum to “A closed-form formula-based method for magnetic dipole localization in a constant magnetic field by measurement of its magnetic field vectors and magnetic gradient tensors”. [J. Magn. Magn. Mater. 629 (2025) 173313] Open
View article: A closed-form formula-based method for magnetic dipole localization in a constant magnetic field by measurement of its magnetic field vectors and magnetic gradient tensors
A closed-form formula-based method for magnetic dipole localization in a constant magnetic field by measurement of its magnetic field vectors and magnetic gradient tensors Open
View article: A Survey on the Main Techniques Adopted in Indoor and Outdoor Localization
A Survey on the Main Techniques Adopted in Indoor and Outdoor Localization Open
In modern engineering applications, localization and orientation play an increasingly crucial role in ensuring the successful execution of assigned tasks. Industrial robots, smart home systems, healthcare environments, nuclear facilities, …
View article: Predicting growth parameters of biofertilizer inoculated pepper, using root capacitance assessments and artificial neural networks in two soils
Predicting growth parameters of biofertilizer inoculated pepper, using root capacitance assessments and artificial neural networks in two soils Open
Monitoring the root system plays an important role in understanding plant physiological processes; however, its assessment using non-destructive methods remains challenging. Here, we evaluate the utility of root capacitance ( C R ) as a pr…
View article: Bioimpedance Analysis of Cucumber Plants Exposed to Different Nitrogen Doses Under Greenhouse Conditions
Bioimpedance Analysis of Cucumber Plants Exposed to Different Nitrogen Doses Under Greenhouse Conditions Open
Nitrogen (N) availability is critical for cucumber (Cucumis sativus L.) growth and yield in greenhouse production. In this study, we investigated the effects of different N doses on the bioimpedance spectroscopy (BIS) parameters of cucumbe…
View article: Artificial neural network-based MEMS accelerometer array calibration
Artificial neural network-based MEMS accelerometer array calibration Open
Accurate calibration of micro-electromechanical systems (MEMS) accelerometers is crucial for enhancing the performance of low-cost inertial measurement units (IMUs). This paper introduces a novel calibration technique that leverages artifi…
View article: A Comparison of Neural Networks and Fuzzy Inference Systems for the Identification of Magnetic Disturbances in Mobile Robot Localization
A Comparison of Neural Networks and Fuzzy Inference Systems for the Identification of Magnetic Disturbances in Mobile Robot Localization Open
View article: Evaluation of Optimal Covariance Models for EKF-based Wheeled Mobile Robot Localization
Evaluation of Optimal Covariance Models for EKF-based Wheeled Mobile Robot Localization Open
View article: Feedforward Neural Network for Orientation Estimation Under Magnetic and Acceleration Disturbances
Feedforward Neural Network for Orientation Estimation Under Magnetic and Acceleration Disturbances Open
View article: Optimization Techniques in the Localization Problem: A Survey on Recent Advances
Optimization Techniques in the Localization Problem: A Survey on Recent Advances Open
Optimization is a mathematical discipline or tool suitable for minimizing or maximizing a function. It has been largely used in every scientific field to solve problems where it is necessary to find a local or global optimum. In the engine…
View article: Impact of Antenna Orientation on Localization Accuracy Using RSSI-based Trilateration
Impact of Antenna Orientation on Localization Accuracy Using RSSI-based Trilateration Open
The goal of the indoor localization is to determine the position and orientation of people, devices, and mobile robots. With the rise of Industry 4.0, wireless communication technologies have emerged as a rapidly evolving and crucial area …
View article: Measurement System for the Calibration of Accelerometer Arrays
Measurement System for the Calibration of Accelerometer Arrays Open
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), ar…
View article: Online Outdoor Terrain Classification Algorithm for Wheeled Mobile Robots Equipped with Inertial and Magnetic Sensors
Online Outdoor Terrain Classification Algorithm for Wheeled Mobile Robots Equipped with Inertial and Magnetic Sensors Open
Terrain classification provides valuable information for both control and navigation algorithms of wheeled mobile robots. In this paper, a novel online outdoor terrain classification algorithm is proposed for wheeled mobile robots. The alg…
View article: Fingerprinting-Based Indoor Positioning Using Data Fusion of Different Radiocommunication-Based Technologies
Fingerprinting-Based Indoor Positioning Using Data Fusion of Different Radiocommunication-Based Technologies Open
Wireless-radio-communication-based devices are used in more and more places with the spread of Industry 4.0. Localization plays a crucial part in many of these applications. In this paper, a novel radiocommunication-based indoor positionin…
View article: Indoor 2D Positioning Method for Mobile Robots Based on the Fusion of RSSI and Magnetometer Fingerprints
Indoor 2D Positioning Method for Mobile Robots Based on the Fusion of RSSI and Magnetometer Fingerprints Open
Received signal strength indicator (RSSI)-based fingerprinting is a widely used technique for indoor localization, but these methods suffer from high error rates due to various reflections, interferences, and noises. The use of disturbance…
View article: Table of Contents
Table of Contents Open
View article: Real-Time Vehicle Classification System Using a Single Magnetometer
Real-Time Vehicle Classification System Using a Single Magnetometer Open
Vehicle count and classification data are very important inputs for intelligent transportation systems (ITS). Magnetic sensor-based technology provides a very promising solution for the measurement of different traffic parameters. In this …
View article: Inertial sensor-based movement classification with dimension reduction based on feature aggregation
Inertial sensor-based movement classification with dimension reduction based on feature aggregation Open
In this paper, a novel feature aggregation method is proposed for dimension reduction in inertial sensor-based pattern recognition applications. The method is utilized in a movement classification algorithm, which applies measurements of w…
View article: Sensor fusion-based localization methods for mobile robots
Sensor fusion-based localization methods for mobile robots Open
Localization aims to provide the best estimate of the robot pose. It is a crucial algorithm in every robotics application, since its output directly determines the inputs of the robot to be controlled in its configuration space. In real wo…
View article: Perspectives of RealSense and ZED Depth Sensors for Robotic Vision Applications
Perspectives of RealSense and ZED Depth Sensors for Robotic Vision Applications Open
This review paper presents an overview of depth cameras. Our goal is to describe the features and capabilities of the introduced depth sensors in order to determine their possibilities in robotic applications, focusing on objects that migh…
View article: Inertial sensor-based outdoor terrain classification for wheeled mobile robots
Inertial sensor-based outdoor terrain classification for wheeled mobile robots Open
Nowadays, an increasing usage of autonomous mobile robots in outdoor applications can be noticed. Identification of the terrain type is very important for efficient navigation. In this paper, a novel method is proposed for terrain classifi…
View article: A Novel Fuzzy-Adaptive Extended Kalman Filter for Real-Time Attitude Estimation of Mobile Robots
A Novel Fuzzy-Adaptive Extended Kalman Filter for Real-Time Attitude Estimation of Mobile Robots Open
This paper proposes a novel fuzzy-adaptive extended Kalman filter (FAEKF) for the real-time attitude estimation of agile mobile platforms equipped with magnetic, angular rate, and gravity (MARG) sensor arrays. The filter structure employs …
View article: New methods in the application of inertial and magnetic sensors in online pattern recognition problems
New methods in the application of inertial and magnetic sensors in online pattern recognition problems Open
The most common applications of these sensors are Inertial Navigation Systems (INS), where they are used to continuously calculate the position, the orientation, and the speed of a moving object [9][10][11][12].Accelerometers, gyroscopes, …
View article: Development of telepresence technology during the teaching process at Subotica Tech
Development of telepresence technology during the teaching process at Subotica Tech Open
Nowadays industrial solutions in the field of mechatronics, often integrate the actuators with sensors and control units. This integration creates complex mechatronic devices. The complexity of these devices is evident, because this integr…
View article: Online human movement classification using wrist-worn wireless sensors
Online human movement classification using wrist-worn wireless sensors Open