@mastersthesis{MTMT:34081690,
	title = {Autonóm járművek térinformatikai támogatása},
	url = {https://m2.mtmt.hu/api/publication/34081690},
	author = {Potó, Vivien},
	publisher = {Budapest University of Technology and Economics},
	unique-id = {34081690},
	year = {2022},
	orcid-numbers = {Potó, Vivien/0000-0001-8182-6039}
}

@article{MTMT:32533021,
	title = {Comparison of Complex Traffic Junction Descriptions in Automotive Standard Formats},
	url = {https://m2.mtmt.hu/api/publication/32533021},
	author = {Krausz, Nikol and Potó, Vivien and Lógó, János Máté and Barsi, Árpád},
	doi = {10.3311/PPci.18616},
	journal-iso = {PERIOD POLYTECH CIV ENG},
	journal = {PERIODICA POLYTECHNICA-CIVIL ENGINEERING},
	volume = {66},
	unique-id = {32533021},
	issn = {0553-6626},
	abstract = {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.},
	year = {2022},
	eissn = {1587-3773},
	pages = {282-290},
	orcid-numbers = {Potó, Vivien/0000-0001-8182-6039; Lógó, János Máté/0000-0002-0946-5328; Barsi, Árpád/0000-0002-0298-7502}
}

@misc{MTMT:32518891,
	title = {Adatbázis-szemlélet megvalósítása a nagyfelbontású térképek tárolásában},
	url = {https://m2.mtmt.hu/api/publication/32518891},
	author = {Barsi, Árpád and Horváth, Viktor Győző and Krausz, Nikol and Lógó, János Máté and Potó, Vivien},
	unique-id = {32518891},
	year = {2021},
	orcid-numbers = {Barsi, Árpád/0000-0002-0298-7502; Lógó, János Máté/0000-0002-0946-5328; Potó, Vivien/0000-0001-8182-6039}
}

@article{MTMT:32367290,
	title = {QUALITY ASPECTS OF HIGH-DEFINITION MAPS},
	url = {https://m2.mtmt.hu/api/publication/32367290},
	author = {Lógó, János Máté and Krausz, Nikol and Potó, Vivien and Barsi, Árpád},
	doi = {10.5194/isprs-archives-XLIII-B4-2021-389-2021},
	journal-iso = {ISPRS (2002-)},
	journal = {INTERNATIONAL ARCHIVES OF PHOTOGRAMMETRY AND REMOTE SENSING (2002-)},
	volume = {XLIII-B4-2021},
	unique-id = {32367290},
	issn = {1682-1750},
	year = {2021},
	eissn = {2194-9034},
	pages = {389-394},
	orcid-numbers = {Lógó, János Máté/0000-0002-0946-5328; Potó, Vivien/0000-0001-8182-6039; Barsi, Árpád/0000-0002-0298-7502}
}

@CONFERENCE{MTMT:31983149,
	title = {Geometric-Topologic Description of a Complex Road Junction Considering the Requirements of Highly Automated Driving},
	url = {https://m2.mtmt.hu/api/publication/31983149},
	author = {Lógó, János Máté and Potó, Vivien and Krausz, Nikol and Barsi, Árpád},
	booktitle = {14th IACM WCCM-ECCOMAS Congress 2021},
	doi = {10.23967/wccm-eccomas.2020.156},
	unique-id = {31983149},
	year = {2021},
	pages = {1-10},
	orcid-numbers = {Lógó, János Máté/0000-0002-0946-5328; Potó, Vivien/0000-0001-8182-6039; Barsi, Árpád/0000-0002-0298-7502}
}

@inproceedings{MTMT:31790805,
	title = {Térképi formátumok értékelése az önvezetés szempontjából},
	url = {https://m2.mtmt.hu/api/publication/31790805},
	author = {Potó, Vivien and Lógó, János Máté and Tettamanti, Tamás and Barsi, Árpád and Krausz, Nikol},
	booktitle = {Az elmélet és a gyakorlat találkozása a térinformatikában XI.: Theory meets practice in GIS},
	unique-id = {31790805},
	year = {2020},
	pages = {207-215},
	orcid-numbers = {Potó, Vivien/0000-0001-8182-6039; Lógó, János Máté/0000-0002-0946-5328; Tettamanti, Tamás/0000-0002-8934-3653; Barsi, Árpád/0000-0002-0298-7502}
}

@article{MTMT:31635435,
	title = {Creating an OpenDRIVE Model of the Campus of the Budapest University of Technology and Economics for Automotive Simulations},
	url = {https://m2.mtmt.hu/api/publication/31635435},
	author = {Barsi, Árpád and Potó, Vivien and Lógó, János Máté and Krausz, Nikol},
	doi = {10.3311/PPci.16768},
	journal-iso = {PERIOD POLYTECH CIV ENG},
	journal = {PERIODICA POLYTECHNICA-CIVIL ENGINEERING},
	volume = {64},
	unique-id = {31635435},
	issn = {0553-6626},
	abstract = {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.},
	year = {2020},
	eissn = {1587-3773},
	pages = {1269-1274},
	orcid-numbers = {Barsi, Árpád/0000-0002-0298-7502; Potó, Vivien/0000-0001-8182-6039; Lógó, János Máté/0000-0002-0946-5328}
}

@article{MTMT:31250523,
	title = {The role of map in autonomous driving simulations},
	url = {https://m2.mtmt.hu/api/publication/31250523},
	author = {Barsi, Árpád and András, Csepinszky and Lógó, János Máté and Krausz, Nikol and Potó, Vivien},
	doi = {10.3311/pptr.15852},
	journal-iso = {PERIOD POLYTECH TRANSP ENG},
	journal = {PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING},
	volume = {48},
	unique-id = {31250523},
	issn = {0303-7800},
	abstract = {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.},
	year = {2020},
	eissn = {1587-3811},
	pages = {363-368},
	orcid-numbers = {Barsi, Árpád/0000-0002-0298-7502; Lógó, János Máté/0000-0002-0946-5328; Potó, Vivien/0000-0001-8182-6039}
}

@article{MTMT:31250517,
	title = {Az önvezetés térképi támogatása},
	url = {https://m2.mtmt.hu/api/publication/31250517},
	author = {Barsi, Árpád and Csepinszky, András and Lógó, János Máté and Krausz, Nikol and Potó, Vivien},
	doi = {10.30921/GK.72.2020.2.2},
	journal-iso = {GEODÉZIA ÉS KARTOGRÁFIA},
	journal = {GEODÉZIA ÉS KARTOGRÁFIA},
	volume = {72},
	unique-id = {31250517},
	issn = {0016-7118},
	year = {2020},
	pages = {10-15},
	orcid-numbers = {Barsi, Árpád/0000-0002-0298-7502; Lógó, János Máté/0000-0002-0946-5328; Potó, Vivien/0000-0001-8182-6039}
}

@article{MTMT:30922728,
	title = {Environmental data delivery for automotive simulations by laser scanning},
	url = {https://m2.mtmt.hu/api/publication/30922728},
	author = {Barsi, Árpád and Csepinszky, Andras and Krausz, Nikol and Neuberger, Hajnalka and Potó, Vivien and Tihanyi, Viktor Roland},
	doi = {10.5194/isprs-archives-XLII-2-W16-41-2019},
	journal-iso = {ISPRS (2002-)},
	journal = {INTERNATIONAL ARCHIVES OF PHOTOGRAMMETRY AND REMOTE SENSING (2002-)},
	volume = {42-2/W16},
	unique-id = {30922728},
	issn = {1682-1750},
	abstract = {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.},
	year = {2019},
	eissn = {2194-9034},
	pages = {41-45},
	orcid-numbers = {Barsi, Árpád/0000-0002-0298-7502; Neuberger, Hajnalka/0000-0002-3230-4979; Potó, Vivien/0000-0001-8182-6039}
}