Miroslav Opiela
A5061186137- Indoor and Outdoor Localization Technologies
- Robotics and Sensor-Based Localization
- Human Mobility and Location-Based Analysis
- Inertial Sensor and Navigation
- Big Data and Business Intelligence
- IoT and Edge/Fog Computing
- Video Surveillance and Tracking Methods
- Speech and Audio Processing
- Cloud Computing and Resource Management
- Data Quality and Management
- Context-Aware Activity Recognition Systems
- GNSS positioning and interference
- Digital Transformation in Industry
- Mobile Crowdsensing and Crowdsourcing
- Big Data Technologies and Applications
- Target Tracking and Data Fusion in Sensor Networks
Czech Academy of Sciences, Institute of Computer Science
2021
University of Pavol Jozef Šafárik
2016-2020
Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with movement, using EvAAL framework. The provided unique overview of state-of-the-art systems, technologies, and methods positioning navigation purposes. Through fair comparison performance achieved each system, was able to identify most promising approaches pinpoint critical working conditions. In 2020, included 5 diverse off-site...
The Indoor Positioning and Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. objective of this is to establish a systematic evaluation methodology with rigorous metrics both for real-time (on-site) post-processing (off-site) situations, realistic environment unfamiliar the prototype developers. For IPIN 2018 conference, was held on September 22nd, 2018, Atlantis, large shopping...
IPIN 2019 Competition, sixth in a series of competitions, was held at the CNR Research Area Pisa (IT), integrated into program Conference. It included two on-site real-time Tracks and three off-site Tracks. The four presented this paper were set same environment, made buildings close together for total usable area 1000 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> outdoors 6000 indoors over floors, with path length exceeding 500 m....
We investigate properties and the accuracy of grid-based Bayesian filters for indoor localization. use only compass a (hardware or software) step detector which are available in commodity smartphones. In case when hardware is not present, we propose reliable detection algorithm using accelerometer. Our main goal to evaluate how filter influenced by discretization environment, structure grid, expected length, way building modeled. As result evaluation, two correction algorithms. The first...
Indoor positioning systems for smartphones are often based on Pedestrian Dead Reckoning, which computes the current position from previously estimated location. Noisy sensor measurements, inaccurate step length estimations, faulty direction detections, and a demand real-time calculation introduce error is suppressed using map model Bayesian filtering. The main focus of this paper grid-based implementations Bayes filters as an alternative to commonly used Kalman particle filters. Our previous...
In this paper, we present the main objectives and several case studies of National project IT Academy Education for 21st Century. We describe process attribute exploration its application analysis educational goals in area Data Science. Moreover, briefly outline student a smart mirror Internet Things.
In this paper, we present the general description of Data Science, artificial intelligence, machine learning and deep learning. We describe short history Science from beginning to nowadays. briefly notate interdisciplinarity different roles data scientists, types tasks in thoroughly role National project IT Academy - Education for 21st Century university education Slovakia. Moreover, main Competence center several educational research results regarding national Century.
A growing interest in promoting and supporting the use of artificial intelligence systems is observed all major market sectors worldwide, as well public sector. The development Slovakia an important key for innovations field healthcare, digitalization industry, agriculture, but also other Slovak economy. Extending implementation activities within National Project IT Academy – Education 21st Century by area Artificial Intelligence was order to provide educational training possibilities...