@article{MTMT:34474777,
	title = {Deep Learning-Based Approach for Autonomous Vehicle Localization: Application and Experimental Analysis},
	url = {https://m2.mtmt.hu/api/publication/34474777},
	author = {Markó, Norbert and Horváth, Ernő and Szalay, István and Enisz, Krisztián},
	doi = {10.3390/machines11121079},
	journal-iso = {MACHINES},
	journal = {MACHINES},
	volume = {11},
	unique-id = {34474777},
	abstract = {In a vehicle, wheel speed sensors and inertial measurement units (IMUs) are present onboard, and their raw data can be used for localization estimation. Both wheel sensors and IMUs encounter challenges such as bias and measurement noise, which accumulate as errors over time. Even a slight inaccuracy or minor error can render the localization system unreliable and unusable in a matter of seconds. Traditional algorithms, such as the extended Kalman filter (EKF), have been applied for a long time in non-linear systems. These systems have white noise in both the system and in the estimation model. These approaches require deep knowledge of the non-linear noise characteristics of the sensors. On the other hand, as a subset of artificial intelligence (AI), neural network-based (NN) algorithms do not necessarily have these strict requirements. The current paper proposes an AI-based long short-term memory (LSTM) localization approach and evaluates its performance against the ground truth.},
	year = {2023},
	eissn = {2075-1702},
	orcid-numbers = {Horváth, Ernő/0000-0001-5083-2073}
}

@inproceedings{MTMT:34032786,
	title = {Állandó mágneses szinkron motorok négyszög- és szinuszjelbefecskendezéses érzékelő nélküli polaritás felismerésének összehasonlítása},
	url = {https://m2.mtmt.hu/api/publication/34032786},
	author = {Szalay, István and Enisz, Krisztián and Fodor, Dénes},
	booktitle = {„Digitális Járműipari Kutatások a Széchenyi István Egyetemen – Mesterséges Intelligencia a mobilitásban” Konferenciakiadvány 2022. június},
	unique-id = {34032786},
	year = {2022},
	pages = {256-271}
}

@inproceedings{MTMT:34032570,
	title = {LIDAR adat és nyílt téradat fúzió pályamodellek létrehozásához járműszimulációs környezet számára},
	url = {https://m2.mtmt.hu/api/publication/34032570},
	author = {Enisz, Krisztián and Speiser, Ferenc Péter},
	booktitle = {„Digitális Járműipari Kutatások a Széchenyi István Egyetemen – Mesterséges Intelligencia a mobilitásban” Konferenciakiadvány 2022. június},
	unique-id = {34032570},
	year = {2022},
	pages = {94-103}
}

@inproceedings{MTMT:33308326,
	title = {Comparison of square-wave and sinusoidal signal injection in sensorless polarity detection for PMSMs},
	url = {https://m2.mtmt.hu/api/publication/33308326},
	author = {Szalay, István and Fodor, Dénes and Enisz, Krisztián},
	booktitle = {2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC)},
	doi = {10.1109/PEMC51159.2022.9962876},
	unique-id = {33308326},
	year = {2022},
	pages = {583-589}
}

@article{MTMT:32694680,
	title = {Permanent Magnet Synchronous Motor Model Extension for High-Frequency Signal Injection-Based Sensorless Magnet Polarity Detection},
	url = {https://m2.mtmt.hu/api/publication/32694680},
	author = {Szalay, István and Fodor, Dénes and Enisz, Krisztián and Medve, Hunor},
	doi = {10.3390/en15031131},
	journal-iso = {ENERGIES},
	journal = {ENERGIES},
	volume = {15},
	unique-id = {32694680},
	issn = {1996-1073},
	year = {2022},
	eissn = {1996-1073}
}

@article{MTMT:32558376,
	title = {Saliency Model Extension for Sensorless Initial Position and Polarity Detection of Permanent Magnet Synchronous Motors},
	url = {https://m2.mtmt.hu/api/publication/32558376},
	author = {Szalay, István and Fodor, Dénes and Enisz, Krisztián and Medve, Hunor},
	doi = {10.1109/ACCESS.2021.3136917},
	journal-iso = {IEEE ACCESS},
	journal = {IEEE ACCESS},
	volume = {9},
	unique-id = {32558376},
	issn = {2169-3536},
	year = {2021},
	eissn = {2169-3536},
	pages = {168292-168314}
}

@article{MTMT:31849732,
	title = {Geospatial Data Manipulation Supporting the Implementation of Driving Simulation Environments},
	url = {https://m2.mtmt.hu/api/publication/31849732},
	author = {Speiser, Ferenc Péter and Enisz, Krisztián and Fodor, Dénes},
	doi = {10.33927/hjic-2020-17},
	journal-iso = {HUNG J IND CHEM},
	journal = {HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY},
	volume = {48},
	unique-id = {31849732},
	issn = {0133-0276},
	year = {2020},
	eissn = {2450-5102},
	pages = {117-121}
}

@article{MTMT:31849707,
	title = {Localization accuracy improvement of autonomous vehicles using sensor fusion and extended Kalman filter},
	url = {https://m2.mtmt.hu/api/publication/31849707},
	author = {Szalay, István and Enisz, Krisztián and Medve, Hunor and Fodor, Dénes},
	doi = {10.33927/hjic-2020-16},
	journal-iso = {HUNG J IND CHEM},
	journal = {HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY},
	volume = {48},
	unique-id = {31849707},
	issn = {0133-0276},
	year = {2020},
	eissn = {2450-5102},
	pages = {109-115}
}

@article{MTMT:31368435,
	title = {Degradation Analysis of DC-Link Aluminium Electrolytic Capacitors Operating in PWM Power Converters},
	url = {https://m2.mtmt.hu/api/publication/31368435},
	author = {Enisz, Krisztián and Kohlrusz, Gábor and Kovacs, Laszlo and Marschalko, Richard and Fodor, Dénes},
	doi = {10.15598/aeee.v18i2.3387},
	journal-iso = {ADV ELECTR ELECTRON ENG-ZILINA},
	journal = {ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING-ZILINA},
	volume = {18},
	unique-id = {31368435},
	issn = {1336-1376},
	year = {2020},
	eissn = {1804-3119},
	pages = {85-91}
}

@misc{MTMT:30678750,
	title = {Relatív autonóm lokalizációs algoritmusok vizsgálatára alkalmas SIL tesztkörnyezet kialakítása},
	url = {https://m2.mtmt.hu/api/publication/30678750},
	author = {Speiser, Ferenc Péter and Enisz, Krisztián and Fodor, Dénes},
	unique-id = {30678750},
	year = {2019}
}