TY - THES AU - Potó, Vivien TI - Autonóm járművek térinformatikai támogatása PB - Budapesti Műszaki és Gazdaságtudományi Egyetem PY - 2022 SP - 104 UR - https://m2.mtmt.hu/api/publication/34081690 ID - 34081690 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Krausz, Nikol AU - Potó, Vivien AU - Lógó, János Máté AU - Barsi, Árpád TI - Comparison of Complex Traffic Junction Descriptions in Automotive Standard Formats JF - PERIODICA POLYTECHNICA-CIVIL ENGINEERING J2 - PERIOD POLYTECH CIV ENG VL - 66 PY - 2022 IS - 1 SP - 282 EP - 290 PG - 9 SN - 0553-6626 DO - 10.3311/PPci.18616 UR - https://m2.mtmt.hu/api/publication/32533021 ID - 32533021 N1 - Export Date: 19 July 2022 Correspondence Address: Krausz, N.; Department of Photogrammetry and Geoinformatics, Műegyetem rkp. 3, Hungary; email: krausz.nikol@emk.bme.hu AB - Autonomous and highly automated transportation is very attractive not only for the automotive but also for the mapping industry. In order to exploit the technology, the latest survey solutions are needed, but beyond that, a clear description of the content is a must. Three standards have been selected: (1) used for a long time in navigation systems (NDS), (2) developed for simulation purposes (OpenDRIVE), and (3) designed and proposed for general map data exchange (GDF). In this paper, we present the approach of the three standards, then apply the tools of the standards to a specific sample area, a complex traffic junction, and produce maps in the appropriate formats. The evaluation of the pilot site shows that the difficulty of the exchange standard appears to be a serious obstacle. In the process of applying the navigation standard, the personality of the evaluator (the map maker) is also revealed. In the simulation format, the description of reality is gradually improved by including more and more extra elements. LA - English DB - MTMT ER - TY - BOOK AU - Barsi, Árpád AU - Horváth, Viktor Győző AU - Krausz, Nikol AU - Lógó, János Máté AU - Potó, Vivien TI - Adatbázis-szemlélet megvalósítása a nagyfelbontású térképek tárolásában PY - 2021 UR - https://m2.mtmt.hu/api/publication/32518891 ID - 32518891 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Lógó, János Máté AU - Krausz, Nikol AU - Potó, Vivien AU - Barsi, Árpád TI - QUALITY ASPECTS OF HIGH-DEFINITION MAPS JF - INTERNATIONAL ARCHIVES OF PHOTOGRAMMETRY AND REMOTE SENSING (2002-) J2 - ISPRS (2002-) VL - XLIII-B4-2021 PY - 2021 SP - 389 EP - 394 PG - 6 SN - 1682-1750 DO - 10.5194/isprs-archives-XLIII-B4-2021-389-2021 UR - https://m2.mtmt.hu/api/publication/32367290 ID - 32367290 LA - English DB - MTMT ER - TY - CONF AU - Lógó, János Máté AU - Potó, Vivien AU - Krausz, Nikol AU - Barsi, Árpád TI - Geometric-Topologic Description of a Complex Road Junction Considering the Requirements of Highly Automated Driving T2 - 14th IACM WCCM-ECCOMAS Congress 2021 PB - International Association of Computational Mechanics (IACM) C1 - Barcelona PY - 2021 SP - 1 EP - 10 PG - 10 DO - 10.23967/wccm-eccomas.2020.156 UR - https://m2.mtmt.hu/api/publication/31983149 ID - 31983149 N1 - Scopus:hiba:85122152021 2022-10-12 16:46 befoglaló egyiknél nincsenek szerzők LA - English DB - MTMT ER - TY - CHAP AU - Potó, Vivien AU - Lógó, János Máté AU - Tettamanti, Tamás AU - Barsi, Árpád AU - Krausz, Nikol ED - Abriha-Molnár, Vanda Éva TI - Térképi formátumok értékelése az önvezetés szempontjából T2 - Az elmélet és a gyakorlat találkozása a térinformatikában XI.: Theory meets practice in GIS PB - Debreceni Egyetemi Kiadó CY - Debrecen SN - 9789633188866 PY - 2020 SP - 207 EP - 215 PG - 9 UR - https://m2.mtmt.hu/api/publication/31790805 ID - 31790805 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Barsi, Árpád AU - Potó, Vivien AU - Lógó, János Máté AU - Krausz, Nikol TI - Creating an OpenDRIVE Model of the Campus of the Budapest University of Technology and Economics for Automotive Simulations JF - PERIODICA POLYTECHNICA-CIVIL ENGINEERING J2 - PERIOD POLYTECH CIV ENG VL - 64 PY - 2020 IS - 4 SP - 1269 EP - 1274 PG - 6 SN - 0553-6626 DO - 10.3311/PPci.16768 UR - https://m2.mtmt.hu/api/publication/31635435 ID - 31635435 N1 - Export Date: 17 December 2021 Correspondence Address: Barsi, Á.; Department of Photogrammetry and Geoinformatics, Műegyetem rkp. 3, Hungary; email: barsi.arpad@epito.bme.hu Funding details: Budapesti Műszaki és Gazdaságtudományi Egyetem, BME, BME FIKP-MI/FM Funding details: European Commission, EC Funding details: European Social Fund, ESF, EFOP-3.6.3-VEKOP-16-2017-00001 Funding text 1: The project has been supported by the European Union, co-financed by the European Social Fund. EFOP-3.6.3-VEKOP-16-2017-00001. Funding text 2: The research reported in this paper was supported by the Higher Education Excellence Program in the frame of the Artificial Intelligence research area of Budapest University of Technology and Economics (BME FIKP-MI/FM). AB - The development of automotive technologies requires quite a significant amount of time and money. To accelerate this procedure, the technology of now is strongly based on computer simulations, where the whole vehicle or its parts can be analyzed in a virtual environment. The behavior of cars, especially equipped with new sensors or assistants, requires long testing, where the automotive simulators can play a cardinal role. The precise vehicular tests request accurate environmental models. These new kinds of models are still standardized; one of the pioneer de facto standards is OpenDRIVE. This standard was initially defined to be able to express all elements with all potential parameters required in high precision simulations. The actual research focused on creating a compliant virtual model based on mobile mapping measurements. A Leica Pegasus Two mobile mapping system was applied to capture field data about the selected pilot area, which is the campus of Budapest University of Technology and Economics (BME). The obtained Lidar point cloud was georeferenced; the merged point cloud is tailored to the driven trajectory, and then it has been evaluated manually. The acquired land use map is converted – similarly manually – into basic road geometry elements: straight lane and bended lane segments. These objects are finally compiled into an XML format, which is compliant with the OpenDRIVE standard. The achieved virtual model has been tested in Driving Scenario Designer of Mathworks Matlab; however, it is promptly ready for use in other widely applied automotive simulators. LA - English DB - MTMT ER - TY - JOUR AU - Barsi, Árpád AU - András, Csepinszky AU - Lógó, János Máté AU - Krausz, Nikol AU - Potó, Vivien TI - The role of map in autonomous driving simulations JF - PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING J2 - PERIOD POLYTECH TRANSP ENG VL - 48 PY - 2020 IS - 4 SP - 363 EP - 368 PG - 6 SN - 0303-7800 DO - 10.3311/pptr.15852 UR - https://m2.mtmt.hu/api/publication/31250523 ID - 31250523 AB - The vehicles of the conditional, highly, and fully automation levels have a common unique sensor, the map. The term map has undergone a significant change because the spatial resolution has been increased considerably, the road infrastructure and its neighborhood are represented with higher accuracy and evidently in 3D. The development of these vehicles requires enormous efforts, where computer-based techniques, like the simulations, can offer a helping hand. The autonomous simulations shall be supported by high-quality map information, which generates interest in the best field data capturing techniques. The paper gives an overview of the available modern surveying methodologies, then introduces the most preferred data formats – both in physical information storage and in exchange information content between mapping systems. Some examples are presented to demonstrate the usage of the relevant map-making outputs in automotive simulators. LA - English DB - MTMT ER - TY - JOUR AU - Barsi, Árpád AU - Csepinszky, András AU - Lógó, János Máté AU - Krausz, Nikol AU - Potó, Vivien TI - Az önvezetés térképi támogatása JF - GEODÉZIA ÉS KARTOGRÁFIA J2 - GEODÉZIA ÉS KARTOGRÁFIA VL - 72 PY - 2020 IS - 2 SP - 10 EP - 15 PG - 6 SN - 0016-7118 DO - 10.30921/GK.72.2020.2.2 UR - https://m2.mtmt.hu/api/publication/31250517 ID - 31250517 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Barsi, Árpád AU - Csepinszky, Andras AU - Krausz, Nikol AU - Neuberger, Hajnalka AU - Potó, Vivien AU - Tihanyi, Viktor Roland TI - Environmental data delivery for automotive simulations by laser scanning JF - INTERNATIONAL ARCHIVES OF PHOTOGRAMMETRY AND REMOTE SENSING (2002-) J2 - ISPRS (2002-) VL - 42-2/W16 PY - 2019 SP - 41 EP - 45 PG - 5 SN - 1682-1750 DO - 10.5194/isprs-archives-XLII-2-W16-41-2019 UR - https://m2.mtmt.hu/api/publication/30922728 ID - 30922728 AB - The development of autonomous vehicles nowadays is attractive, but a resource-intensive procedure. It requires huge time and money efforts. The different carmakers have therefore common struggles of involving cheaper, faster and accurate computer-based tools, among them the simulators. Automotive simulations expect reality information, where the recent data collection techniques have excellent contribution possibilities. Accordingly, the paper has a focus on the use of mobile laser scanning data in supporting automotive simulators. There was created a pilot site around the university campus, which is a road network with very diverse neighborhood. The data acquisition was conducted by a Leica Pegasus Two mobile mapping system. The achieved point clouds and imagery were submitted to extract road axes, road borders, but also lane borders and lane markings. By this evaluation, the OpenDRIVE representation was built, which is directly transferrable into various simulators. Based on the roads' geometric description, a standardized pavement surface model was created in OpenCRG format. CRG is a Curved Regular Grid, containing all surface height information and objects, but also anomalies. The 3D laser point clouds could easily be transformed into voxel models, then these models can be projected onto two vertical roadside grids (ribbons), which are practically an extension to the OpenCRG model. Adequate visualizations demonstrate the obtained results. © Authors 2019. CC BY 4.0 License. LA - English DB - MTMT ER -