@mastersthesis{MTMT:3249493,
	title = {Advanced Design Methods for Unmanned Aerial Vehicle Control},
	url = {https://m2.mtmt.hu/api/publication/3249493},
	author = {Lukács, Loránd},
	publisher = {Budapest University of Technology and Economics},
	unique-id = {3249493},
	year = {2017}
}

@article{MTMT:3139654,
	title = {Simultaneous Aircraft Nonlinear Model and Inertial Parameter Identification Based on Real Flight Data},
	url = {https://m2.mtmt.hu/api/publication/3139654},
	author = {Lukács, Loránd and Lantos, Béla},
	journal-iso = {BS-TACCS},
	journal = {BULETINUL STIINTIFIC AL UNIVERSITATII POLITEHNICA DIN TIMISOARA ROMANIA SERIA AUTOMATICA SI CALCULATORAE},
	volume = {60},
	unique-id = {3139654},
	issn = {1224-600X},
	year = {2015},
	pages = {31-38}
}

@inproceedings{MTMT:2946093,
	title = {In-flight horizon line detection for airplanes using image processing},
	url = {https://m2.mtmt.hu/api/publication/2946093},
	author = {Lukács, Loránd},
	booktitle = {SISY 2015: IEEE 13th International Symposium on Intelligent Systems and Informatics},
	doi = {10.1109/SISY.2015.7325350},
	unique-id = {2946093},
	keywords = {Image processing; Machine vision; aircraft state estimation; aircraft attitude determination; unmanned aerial vehicle control},
	year = {2015},
	pages = {49-54}
}

@inproceedings{MTMT:2941958,
	title = {Nonlinear dynamic model identification of airplanes including inertial parameters and force-torque relations based on real flight data},
	url = {https://m2.mtmt.hu/api/publication/2941958},
	author = {Lukács, Loránd and Lantos, Béla},
	booktitle = {2015 IEEE 10TH JUBILEE INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI)},
	doi = {10.1109/SACI.2015.7208236},
	unique-id = {2941958},
	keywords = {Image processing; state estimation; Data fusion; control signal computation; airplane dynamic model; unknown inertial parameters},
	year = {2015},
	pages = {393-398}
}

@inproceedings{MTMT:2941928,
	title = {Image processing based aircraft attitude determination using real flight data},
	url = {https://m2.mtmt.hu/api/publication/2941928},
	author = {Lukács, Loránd},
	booktitle = {Proceedings of the Workshop on the Advances of Information Technology: WAIT 2015},
	unique-id = {2941928},
	year = {2015},
	pages = {149-154}
}

@article{MTMT:2762195,
	title = {GPS and IMU Based State Estimation Method for Aircraft INS Navigation},
	url = {https://m2.mtmt.hu/api/publication/2762195},
	author = {Lukács, Loránd and Lantos, Béla},
	journal-iso = {BS-TACCS},
	journal = {BULETINUL STIINTIFIC AL UNIVERSITATII POLITEHNICA DIN TIMISOARA ROMANIA SERIA AUTOMATICA SI CALCULATORAE},
	volume = {59(73)},
	unique-id = {2762195},
	issn = {1224-600X},
	abstract = {The study presents a state estimation method 
		for the determination of position, speed, spatial 
		orientation and angular velocity of an aircraft based on 
		the data fusion using Extended Kalman Filtering and
		actual flight data. The sensors mounted on the aircraft 
		include GPS, 3D accelerometer, angular velocity and 
		magnetometer. The paper also proposes a method for 
		determining the angle of attack and sideslip angles of the 
		aircraft. The state variables together with actuator signals 
		(determined separately) are considered as input signals 
		for the identification of the nonlinear model of an 
		aircraft. The achieved results can be used for long range 
		inertial navigational systems (INS) or aircraft system 
		identification with the knowledge of the control signals.},
	year = {2014},
	pages = {9-17}
}

@article{MTMT:2762190,
	title = {Augmented Reality For Aircraft Control},
	url = {https://m2.mtmt.hu/api/publication/2762190},
	author = {Lukács, Loránd},
	journal-iso = {HADMÉRNÖK},
	journal = {HADMÉRNÖK},
	volume = {9},
	unique-id = {2762190},
	abstract = {The paper presents a low computational cost system engineering solution which can be used for the control and navigation of airplanes in low visibility when
		Instrumental Flight Rules apply. The application presented in the paper uses the orientation and navigation information of a glider aircraft superimposed on images acquired with a wide angle lens camera during flight. Using this method of displaying data, the crucial information needed for aircraft control such as
		orientation, heading, airspeed, vertical speed, altitude, angle of attack and slip angle of the aircraft can be viewed by pilots without requiring them to lose sight of their visual viewpoints. The paper emphasizes on determining the correct position of the main visual elements on the image plane required for maintaining the desired heading and attitude of the aircraft.
		The developed method can also be applied for UAVs controlled via video link.
		A tanulmány légi járművek irányításához szükséges alacsony számítási költségekkel járó megoldást mutat be, ami alkalmazható rossz látási körülmények közötti
		vezérlésénél vagy olyan esetekben, amikor műszerrepülési helyzetek lépnek fel. A bemutatott alkalmazás egy vitorlázó repülőgép példáján becsült orientációs és
		navigációs adatokat helyez széles látószögű videó kamera által rögzített képekre repülés közben. Ez az adatmegjelenítési módszer a repülőgép vezérléséhez szükséges elengedhetetlen információkat, mint orientáció, útirány, repülési sebesség, vertikális sebesség, magasság, állásszög és oldalcsúszási szög értékeket
		jelenít meg anélkül, hogy a pilóta kényszerítve legyen, hogy szem elől tévessze a repüléshez szükséges vizuális referenciáit. A cikk fő hangsúlya a repülőgép
		orientációjához szükséges főbb vizuális elemek képsíkon való helyének meghatározására esik. A módszer videó kapcsolaton keresztül vezérelt embernélküli légi járművek irányításánál is alkalmazható.},
	year = {2014},
	eissn = {1788-1919},
	pages = {32-47}
}

@inproceedings{MTMT:2761993,
	title = {Identification of the nonlinear dynamic model of sailplanes involving state estimation and image processing for actuator signal computation},
	url = {https://m2.mtmt.hu/api/publication/2761993},
	author = {Lukács, Loránd and Lantos, Béla},
	booktitle = {2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY 2014)},
	doi = {10.1109/SISY.2014.6923591},
	unique-id = {2761993},
	abstract = {The primary scope of the paper lies on the identification of an aircraft’s nonlinear dynamic model. It is assumed that
		the aircraft has no inbuilt navigational system, nor any sensors
		mounted on its control surfaces. The flight of the airplane is
		influenced by the control column and pedals manipulated by the
		pilot whose positions can only visually be observed. This situation
		can often occur in the first phase of control system development
		of airplanes. Hence, for the time of data logging, an external
		sensory system (GPS, IMU) and a camera system were deployed
		on the airplane supporting the collection of flight data for state
		estimation and model identification. An earlier paper discussed
		the computation of the actuator signals thus the paper deals
		mainly with the state estimation and model identification. State
		estimation is based on two-level Extended Kalman Filters with
		additional correction in an external loop. System identification is
		based on the dynamical equations of rigid body with additional
		weighted nonlinear terms for 3D forces and torques. Wind effects
		are taken into consideration. From the inertial parameters only
		the mass is known. Dominating nonlinear functions in the force
		and torque model are selected by using hypotheses tests. The
		results are presented for a real sailplane using flight data.},
	keywords = {Image processing; state estimation; system identification; Data fusion; Nonlinear modeling; sailplane dynamic model; control signal computation},
	year = {2014},
	pages = {227-232}
}

@inproceedings{MTMT:2698947,
	title = {State Estimation Method for Aircraft Identification Purposes},
	url = {https://m2.mtmt.hu/api/publication/2698947},
	author = {Lukács, Loránd},
	booktitle = {2014 IEEE 9th International Symposium on Applied Computational Intelligence and Informatics},
	doi = {10.1109/SACI.2014.6840090},
	unique-id = {2698947},
	keywords = {state estimation; Data fusion; Sideslip angle; Angle of attack; Extended Kalman filtering; Aircraft identification},
	year = {2014},
	pages = {31-35}
}

@inproceedings{MTMT:2695756,
	title = {Actuator Signal Determination from Video Sequences and State Estimation for Aircraft Identification},
	url = {https://m2.mtmt.hu/api/publication/2695756},
	author = {Lukács, Loránd},
	booktitle = {4th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (MACRO), 2013},
	unique-id = {2695756},
	year = {2013},
	pages = {164-175}
}