@article{MTMT:34397551,
	title = {Spectrum of 3-uniform 6- and 9-cycle systems over K (3) v − I},
	url = {https://m2.mtmt.hu/api/publication/34397551},
	author = {Keszler, Anita and Tuza, Zsolt},
	doi = {10.1016/j.disc.2023.113782},
	journal-iso = {DISCRETE MATH},
	journal = {DISCRETE MATHEMATICS},
	volume = {347},
	unique-id = {34397551},
	issn = {0012-365X},
	year = {2024},
	eissn = {1872-681X}
}

@CONFERENCE{MTMT:34693946,
	title = {Real-time foreground segmentation for surveillance applications in sequences from a Non-repetitive Circular Scanning Lidar},
	url = {https://m2.mtmt.hu/api/publication/34693946},
	author = {Kovács, Lóránt and Kégl, Marcell and Benedek, Csaba},
	booktitle = {Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája},
	unique-id = {34693946},
	year = {2023},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X; Benedek, Csaba/0000-0003-3203-0741}
}

@CONFERENCE{MTMT:34693938,
	title = {Real-Time Surveillance Application for NRCS Lidar Sequences},
	url = {https://m2.mtmt.hu/api/publication/34693938},
	author = {Kégl, Marcell and Kovács, Lóránt and Benedek, Csaba},
	booktitle = {Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája},
	unique-id = {34693938},
	year = {2023},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X; Benedek, Csaba/0000-0003-3203-0741}
}

@CONFERENCE{MTMT:34683873,
	title = {Abdominal aortic aneurysm segmentation and analysis from CTA images},
	url = {https://m2.mtmt.hu/api/publication/34683873},
	author = {Madaras, Vilmos and López-Linares Román, K and Benedek, Csaba},
	booktitle = {Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája},
	unique-id = {34683873},
	year = {2023},
	pages = {1-18},
	orcid-numbers = {Benedek, Csaba/0000-0003-3203-0741}
}

@inproceedings{MTMT:34504694,
	title = {Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites},
	url = {https://m2.mtmt.hu/api/publication/34504694},
	author = {Liu, Chang and Szirányi, Tamás},
	booktitle = {26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023},
	doi = {10.1109/ITSC57777.2023.10421956},
	unique-id = {34504694},
	year = {2023},
	pages = {1977-1982},
	orcid-numbers = {Szirányi, Tamás/0000-0003-2989-0214}
}

@CONFERENCE{MTMT:34504666,
	title = {Radiation Plan Optimization for UV-C Disinfection Robots},
	url = {https://m2.mtmt.hu/api/publication/34504666},
	author = {Bugár-Mészáros, Barnabás and Majdik, András and Rózsa, Zoltán and Szirányi, Tamás},
	booktitle = {Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája},
	unique-id = {34504666},
	year = {2023},
	pages = {1-4},
	orcid-numbers = {Majdik, András/0000-0003-1807-2865; Szirányi, Tamás/0000-0003-2989-0214}
}

@inproceedings{MTMT:34504622,
	title = {Analyzing aerial 3D maps to guide a ground vehicle to complement the regions not visible from above},
	url = {https://m2.mtmt.hu/api/publication/34504622},
	author = {Bugár-Mészáros, Barnabás and Majdik, András},
	booktitle = {21st International Conference on Advanced Robotics (ICAR 2023)},
	doi = {10.1109/ICAR58858.2023.10406731},
	unique-id = {34504622},
	year = {2023},
	pages = {157-162},
	orcid-numbers = {Majdik, András/0000-0003-1807-2865}
}

@CONFERENCE{MTMT:34504606,
	title = {LIDAR mérések időbeli felskálázása mono kamera alapján},
	url = {https://m2.mtmt.hu/api/publication/34504606},
	author = {Rózsa, Zoltán and Szirányi, Tamás},
	booktitle = {Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája},
	unique-id = {34504606},
	year = {2023},
	pages = {1-13},
	orcid-numbers = {Szirányi, Tamás/0000-0003-2989-0214}
}

@CONFERENCE{MTMT:34504590,
	title = {Towards modelling an atmospheric pseudo-satellite imaging system},
	url = {https://m2.mtmt.hu/api/publication/34504590},
	author = {Golarits, Marcell and Tizedes, László and Majdik, András and Szirányi, Tamás},
	booktitle = {Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája},
	unique-id = {34504590},
	year = {2023},
	pages = {1-5},
	orcid-numbers = {Golarits, Marcell/0000-0001-9652-4148; Majdik, András/0000-0003-1807-2865; Szirányi, Tamás/0000-0003-2989-0214}
}

@inproceedings{MTMT:34504535,
	title = {Optimal Wildfire Escape Route Planning for Drones under Dynamic Fire and Smoke},
	url = {https://m2.mtmt.hu/api/publication/34504535},
	author = {Liu, Chang and Szirányi, Tamás},
	booktitle = {2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)},
	doi = {10.1109/SITIS61268.2023.00077},
	unique-id = {34504535},
	abstract = {In recent years, the increasing prevalence and intensity of wildfires have posed significant challenges to emergency response teams. The utilization of unmanned aerial vehicles (UAVs), commonly known as drones, has shown promise in aiding wildfire management efforts. This work focuses on the development of an optimal wildfire escape route planning system specifically designed for drones, considering dynamic fire and smoke models. First, the location of the source of the wildfire can be well located by information fusion between UAV and satellite, and the road conditions in the vicinity of the fire can be assessed and analyzed using multichannel remote sensing data. Second, the road network can be extracted and segmented in real time using UAV vision technology, and each road in the road network map can be given priority based on the results of road condition classification. Third, the spread model of dynamic fires calculates the new location of the fire source based on the fire intensity, wind speed and direction, and the radius increases as the wildfire spreads. Smoke is generated around the fire source to create a visual representation of a burning fire. Finally, based on the improved A∗ algorithm, which considers all the above factors, the UAV can quickly plan an escape route based on the starting and destination locations that avoid the location of the fire source and the area where it is spreading. By considering dynamic fire and smoke models, the proposed system enhances the safety and efficiency of drone operations in wildfire environments. © 2023 IEEE.},
	year = {2023},
	pages = {429-434},
	orcid-numbers = {Szirányi, Tamás/0000-0003-2989-0214}
}