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Dive into the research topics where Andras Molnar is active.

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Featured researches published by Andras Molnar.


International Journal of Advanced Robotic Systems | 2012

AirGuardian - UAV Hardware and Software System for Small Size UAVs

Dániel Stojcsics; Andras Molnar

AirGuardian is a complex of an Unmanned Aerial Vehicle and ground station UAV hardware and software systems which has been developed at Obuda University. The hardware and software of the autopilot (AERObot), the antenna tracker station and the ground control station were simultaneously created resulting in the optimal cooperation of the modules. The aim of the research on AERObot – the special autopilot – was to create a generic autopilot which is capable of controlling different designs, weights and structures of airframes without any complex mathematical model recalculation.


international symposium on computational intelligence and informatics | 2015

Drone sound detection

József Mezei; Viktor Fiaska; Andras Molnar

Nowadays small size UAV (Unmanned Aerial Vehicle) systems are really popular. We can find so many of them on video sharing portals and nowadays there are many articles on the media with the advantages and disadvantages of them. We can use “drones” for so many useful task, but on the other hand the risk is increasing with the growing popularity. We can found articles about the unethical and unlawful usages of them. They can be used for smuggling, observation, violation of privacy etc. As a consequence of the growing popularity, the price of these things is quickly becoming lower. High quality cameras are also widespread and its also easy to install one onto a commercially available drone. We have to admit that these factors are become increasingly critical.


symposium on applied computational intelligence and informatics | 2016

Drone sound detection by correlation

József Mezei; Andras Molnar

Small size UAVs (Unmanned Aerial Vehicles) are more and more popular nowadays. These devices are used by many professions for taking picture or recording footages making their work significantly easier, such as recording footages on football matches, forecasting the weather or protecting a countrys borders. Beyond these examples this technology can also be used for unethical purposes, the risk is increasing with the growing popularity. Numerous articles have data about spying, smuggling or taking compromising pictures about people. We must pay attention to safety preventions these days, thus we would like to introduce a solution for this.


International Journal of Advanced Robotic Systems | 2015

A Multi-rotor System for the Collection and Analysis of Measurements to Evaluate and Spatially Demonstrate the Pollutants in the Air

Andras Molnar

One of the most outstanding problems of our technical age is the heavy aerial pollution. There are several well-known methods [6, 10–15] that exist for large-area pollution detection, but the measurement of the exact rate of pollution in smaller areas (e.g., industrial zones or disaster-affected areas of a few square kilometres), as well as the numerical expression of changes therein, remain an unsolved problem.The main feature of the developed device is that it can provide exact measurements for a small area at low altitudes (under 500m AGL (Above Ground Level)), and it is also capable of periodical measurements between 0.0001–10 Hz. With the data analysis provided by the system, we can obtain immediate information about the pollution of the given area, as well as changes in pollution levels over time.


MACRo 2015 | 2017

Automated evaluation of agricultural damage using UAV survey.

Dániel Stojcsics; Andras Molnar

Abstract In the last decade modern agriculture used significant resources for automated evaluation. Game damage and crop evaluation and prediction are the main focus of the precision agriculture. At John von Neumann Faculty of Informatics, Óbuda University, Hungary, researchers together with agricultural experts are developing automated evaluation methods for high-resolution survey data. With the locally developed unmanned aerial vehicles (UAVs) the agricultural survey can be easily done for 1-2km2 area from a single flight. The paper presents the detailed method of the early steps of the automated evaluation using Matlab and the comparison of results to the GIS data.


international symposium on computational intelligence and informatics | 2012

Atmospheric analyser for mobile robots

László Somlyai; Antal Turóczi; Andras Molnar

This paper demonstrates the development process of an atmospheric analyser and data acquisition system for unmanned aerial vehicles. In co-operation with the on-board autopilot system the application is capable of collecting, analysing and visualising atmospheric and environmental data. The objective of the data collection is to monitor the current state of the environment. The three dimensional visualisation and data analysis can be used to locate pollutants and show changes in concentrations. From meteorological point of view, temperature, pressure, humidity, dust and atmospheric gas concentrations and UV-radiation data are the most studied environmental characteristics. Our data acquisition board has dimensions of 80 × 200 mm. The basic configuration contains several standard sensors such as: temperature, humidity, dust, UVA-UVB radiation, gamma detector, CO2, CO, NO, NO2, O2, O3 gas sensors. Additional external sensors or detectors can be connected to the board via expansion connectors and interfaces.


international conference on computational cybernetics | 2013

Unmanned aerial vehicle guidance methods for 3D aerial image reconstruction

Dániel Stojesics; László Somlyai; Andras Molnar


Computing and Informatics \/ Computers and Artificial Intelligence | 2014

Autonomous Takeoff and Landing Control for Small Size Unmanned Aerial Vehicles

Dániel Stojcsics; Andras Molnar


symposium on applied computational intelligence and informatics | 2018

Large-Scale Point Cloud Based Volume Analysis Acceleration Based on UAV Images

Dániel Stojcsics; Zsolt Domozi; Andras Molnar


symposium on applied computational intelligence and informatics | 2018

Orthophoto Creation Based on Low Resolution Thermal Aerial Images

Istvan Lovas; Andras Molnar

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