TY - JOUR AU - Vörös, Fanni AU - Kovács, Béla AU - Zentai, László TI - The rising role of drones in the training of cartographers at Eötvös Loránd University (ELTE) JF - PROCEEDINGS OF THE INTERNATIONAL CARTOGRAPHIC ASSOCIATION J2 - PROC ICA VL - 5 PY - 2023 SP - 1 EP - 8 PG - 8 SN - 2570-2092 DO - 10.5194/ica-proc-5-23-2023 UR - https://m2.mtmt.hu/api/publication/34112301 ID - 34112301 AB - Abstract. The achievements of the technical boom of the recent past will inevitably appear in the world of cartography and geoinformatics. One of these relatively new and increasingly popular technologies is drones (UAVs). This article serves a dual purpose: first, it presents the courses offering practical training at ELTE Eötvös Loránd University, Budapest (Hungary) for several decades and lists the tools used in them; second, it shows how information about drone recording can be integrated into which courses. The article also discusses how difficult it is to implement this in university education in Hungary under the current legal conditions, and what obstacles teachers encounter. LA - English DB - MTMT ER - TY - CONF AU - Kondacs, Fanni AU - Rozman, Gábor AU - Vörös, Fanni AU - Kovács, Béla AU - Székely, Balázs TI - Geohazards of Szent Mihály Hill, Danube Bend, North Hungary: UAV monitoring to prevent landslide caused accidents T2 - EGU General Assembly 2023: Abstracts PB - European Geosciences Union (EGU) C1 - München PY - 2023 SP - EGU23-14633 DO - 10.5194/egusphere-egu23-14633 UR - https://m2.mtmt.hu/api/publication/33804615 ID - 33804615 LA - English DB - MTMT ER - TY - JOUR AU - Vörös, Fanni AU - Gartner, Georg AU - Peterson, Michael P. AU - Kovács, Béla TI - Do Social Aspects Affect Built-in Car Navigation Habits? A Stereotype Study JF - SUSTAINABILITY J2 - SUSTAINABILITY-BASEL VL - 15 PY - 2023 IS - 6 SN - 2071-1050 DO - 10.3390/su15065203 UR - https://m2.mtmt.hu/api/publication/33702820 ID - 33702820 AB - We encounter prejudices and stereotypes in all areas of life, including human navigation. This study seeks to answer whether there is a basis for navigation stereotypes such as: does our age, gender, place of residence or country affect our car navigation habits? An online questionnaire was distributed in three Central European countries (Hungary, Romania and Austria) and 1556 respondents were reached. In addition to habitancy (settlement type), it was noted that half of the examined concerns are influenced by stereotypes. A significant difference can be shown in questions that are directly or indirectly related to the financial situation of the driver (e.g., the existence and quality of the built-in GPS depends on whether someone has enough money to buy it). However, it seems that other stereotypes we have about driving and navigation are mostly false. The results suggest that it may be possible to personalize built-in navigation systems. By incorporating various “extra” services (e.g., personalized interface, placement), driving and navigation can be made safer and more comfortable for particular segments of society—the driver does not need to use other devices. LA - English DB - MTMT ER - TY - JOUR AU - Vörös, Fanni TI - Különböző felbontású domborzatmodellek befolyása vulkáni salakkúpok morfometriai paramétereire - összehasonlító tanulmány JF - FÖLDRAJZI KÖZLEMÉNYEK J2 - FÖLDRAJZI KÖZLEMÉNYEK VL - 146 PY - 2022 IS - 4 SP - 269 EP - 287 PG - 19 SN - 0015-5411 DO - 10.32643/fk.146.4.1 UR - https://m2.mtmt.hu/api/publication/33745025 ID - 33745025 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Varga, Zsófia AU - Vörös, Fanni AU - Pál, Márton AU - Kovács, Béla AU - Jung, András AU - Elek, István ED - Abriha-Molnár, Vanda Éva TI - Osztályozási módszerek és új megoldások teljesítményének és pontosságának összehasonlítása UAV-alapú, közel valós idejű adatfeldolgozás céljából T2 - Az elmélet és gyakorlat találkozása a térinformatikában XIII. PB - Debreceni Egyetemi Kiadó CY - Debrecen SN - 9789636150396 PY - 2022 SP - 325 EP - 337 PG - 13 UR - https://m2.mtmt.hu/api/publication/33570795 ID - 33570795 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Vörös, Fanni AU - van Wyk de Vries, Benjamin AU - Guilbaud, Marie-Noëlle AU - Görüm, Tolga AU - Karátson, Dávid AU - Székely, Balázs TI - DTM-Based Comparative Geomorphometric Analysis of Four Scoria Cone Areas—Suggestions for Additional Approaches JF - REMOTE SENSING J2 - REMOTE SENS-BASEL VL - 14 PY - 2022 IS - 23 PG - 22 SN - 2072-4292 DO - 10.3390/rs14236152 UR - https://m2.mtmt.hu/api/publication/33312873 ID - 33312873 AB - Morphometric studies of scoria cones have a long history in research. Their geometry and shape are believed to be related to evolution by erosion after their formation, and hence the morphometric parameters are supposed to be related with age. We analysed 501 scoria cones of four volcanic fields: San Francisco Volcanic Field (Arizona, USA), Chaîne des Puys (France), Sierra Chichinautzin (Mexico), and Kula Volcanic Field (Turkey). All morphometric parameters (cone height, cone width, crater width, slope angles, ellipticity) were derived using DTMs. As new parameters, we calculated Polar Coordinate Transformed maps, Spatial Elliptical Fourier Descriptors to study the asymmetries. The age groups of the four volcanic fields were created and their slope distributions were analysed. The age groups of individual volcanic fields show a statistically significant decreasing tendency of slope angles tested by Mann–Whitney tests. By mixing the age groups of the volcanic fields and sorting them by age interval, we can also observe a general, statistically significant decrease. The interquartile ranges of the distributions also tend to decrease with time. These observations support the hypothesis that whereas the geometry of individual scoria cones differs initially (just after formation), general trends may exist for their morphological evolution with time in the various volcanic fields. LA - English DB - MTMT ER - TY - JOUR AU - Varga, Zsófia AU - Vörös, Fanni AU - Pál, Márton AU - Kovács, Béla AU - Jung, András AU - Elek, István TI - Performance and Accuracy Comparisons of Classification Methods and Perspective Solutions for UAV-Based Near-Real-Time “Out of the Lab” Data Processing JF - SENSORS J2 - SENSORS-BASEL VL - 22 PY - 2022 IS - 22 SN - 1424-8220 DO - 10.3390/s22228629 UR - https://m2.mtmt.hu/api/publication/33228278 ID - 33228278 N1 - Funding Agency and Grant Number: Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund under the TKP2021-NVA funding scheme [TKP2021-NVA-29] Funding text: The authors were supported by project no. TKP2021-NVA-29, which has been implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-NVA funding scheme. AB - Today, integration into automated systems has become a priority in the development of remote sensing sensors carried on drones. For this purpose, the primary task is to achieve real-time data processing. Increasing sensor resolution, fast data capture and the simultaneous use of multiple sensors is one direction of development. However, this poses challenges on the data processing side due to the increasing amount of data. Our study intends to investigate how the running time and accuracy of commonly used image classification algorithms evolve using Altum Micasense multispectral and thermal acquisition data with GSD = 2 cm spatial resolution. The running times were examined for two PC configurations, with a 4 GB and 8 GB DRAM capacity, respectively, as these parameters are closer to the memory of NRT microcomputers and laptops, which can be applied “out of the lab”. During the accuracy assessment, we compared the accuracy %, the Kappa index value and the area ratio of correct pixels. According to our results, in the case of plant cover, the Spectral Angles Mapper (SAM) method achieved the best accuracy among the validated classification solutions. In contrast, the Minimum Distance (MD) method achieved the best accuracy on water surface. In terms of temporality, the best results were obtained with the individually constructed decision tree classification. Thus, it is worth developing these two directions into real-time data processing solutions. LA - English DB - MTMT ER - TY - CONF AU - Vörös, Fanni TI - Autós navigációs eszközeink és szokásaink - avagy számít, hogy hol élünk? T2 - Intézményi ÚNKP Konferencia 2022 PB - Eötvös Loránd Tudományegyetem (ELTE) C1 - Budapest PY - 2022 SP - 136 UR - https://m2.mtmt.hu/api/publication/33099484 ID - 33099484 LA - Hungarian DB - MTMT ER - TY - CONF AU - Hédi, Katreiner AU - Ákos, Horváth AU - Vörös, Fanni AU - Pál, Márton AU - Szabolcs, Tóth AU - András, Várhegyi AU - Kovács, Béla ED - Bandrova, Temenoujka ED - Konečný, Milan ED - Marinova, Silvia TI - MAPPING GAMMA DOSE RATES OF AN AREA WITH ELEVATED NATURAL RADIOACTIVITY USING A DRONEMOUNTED SAFECAST SENSOR T2 - 8th International Conference on Cartography and GIS, proceedings Vol.2 PY - 2022 SP - 199 EP - 210 PG - 12 UR - https://m2.mtmt.hu/api/publication/33060371 ID - 33060371 LA - English DB - MTMT ER - TY - CONF AU - Székely, Balázs AU - Rozman, Gábor AU - Bitiukova, Eketerina AU - Vörös, Fanni AU - Kovács, Béla TI - Assessing the potential for mass movements of the Danube Bend (Hungary) endangering transport infrastructure: an integration of field observations and UAV and other imagery T2 - European Geosciences Union General Assembly 2022: Conference Abstracts PY - 2022 SP - EGU22-3282 PG - 1 DO - 10.5194/egusphere-egu22-3282 UR - https://m2.mtmt.hu/api/publication/32845262 ID - 32845262 LA - English DB - MTMT ER -