@article{MTMT:31199836,
	title = {Folyami mederanyag szemösszetételének vizsgálata Mély Tanulás eljárással drónfelvételek alapján},
	url = {https://m2.mtmt.hu/api/publication/31199836},
	author = {Benkő, Gergely and Baranya, Sándor and Török, Gergely Tihamér and Molnár, Bence},
	journal-iso = {HIDROL KOZL},
	journal = {HIDROLÓGIAI KÖZLÖNY},
	volume = {100},
	unique-id = {31199836},
	issn = {0018-1323},
	year = {2020},
	eissn = {2939-8495},
	pages = {61-69},
	orcid-numbers = {Baranya, Sándor/0000-0001-5832-9683; Török, Gergely Tihamér/0000-0002-5456-9599; Molnár, Bence/0000-0002-2602-2684}
}

@CONFERENCE{MTMT:31010570,
	title = {Analysis of river bed material composition with Deep Learning based on drone video footages},
	url = {https://m2.mtmt.hu/api/publication/31010570},
	author = {Gergely, Benkő and Baranya, Sándor and Török, Gergely Tihamér and Molnár, Bence and Ermilov, Alexander Anatol},
	booktitle = {Geophysical Research Abstracts},
	unique-id = {31010570},
	year = {2019},
	orcid-numbers = {Baranya, Sándor/0000-0001-5832-9683; Török, Gergely Tihamér/0000-0002-5456-9599; Molnár, Bence/0000-0002-2602-2684; Ermilov, Alexander Anatol/0000-0002-2650-5870}
}

@article{MTMT:3326344,
	title = {Mérnökfotogrammetriai támogatás a tartószerkezetek vizsgálatához},
	url = {https://m2.mtmt.hu/api/publication/3326344},
	author = {Paulik, Dániel and Tóth, Márton Tamás and Molnár, Bence and Neuberger, Hajnalka and Horváth, László},
	doi = {10.30921/GK.70.2018.2.2},
	journal-iso = {GEODÉZIA ÉS KARTOGRÁFIA},
	journal = {GEODÉZIA ÉS KARTOGRÁFIA},
	volume = {70},
	unique-id = {3326344},
	issn = {0016-7118},
	year = {2018},
	pages = {15-20},
	orcid-numbers = {Molnár, Bence/0000-0002-2602-2684; Neuberger, Hajnalka/0000-0002-3230-4979}
}

@article{MTMT:3281728,
	title = {Not All Trees Sleep the Same—High Temporal Resolution Terrestrial Laser Scanning Shows Differences in Nocturnal Plant Movement},
	url = {https://m2.mtmt.hu/api/publication/3281728},
	author = {Zlinszky, András and Molnár, Bence and Barfod, Anders S},
	doi = {10.3389/fpls.2017.01814},
	journal-iso = {FRONT PLANT SCI},
	journal = {FRONTIERS IN PLANT SCIENCE},
	volume = {8},
	unique-id = {3281728},
	issn = {1664-462X},
	abstract = {Circadian leaf movements are widely known in plants, but nocturnal movement of tree branches were only recently discovered by using terrestrial laser scanning, a high resolution three-dimensional surveying technique. Terrestrial laser scanning uses a pulsed laser emitted in a regular scan pattern for rapid measurement of distances to the targets, thus producing three dimensional point cloud models of sub-centimeter resolution and accuracy in a few minutes. Here we aim to gain an overview of the variability of circadian movement of small trees across different taxonomic groups, growth forms and leaf anatomies. We surveyed a series of 18 full scans over a 12-hour night period to measure nocturnal changes in shape simultaneously for an experimental setup of 22 plants representing different species. Resulting point clouds were evaluated by comparing changes in height percentiles of laser scanning points belonging to the canopy. Changes in crown shape were observed for all studied trees, but clearly distinguishable sleep movements are apparently rare. Ambient light conditions were continuously dark between sunset (7:30 PM) and sunrise (6:00 AM), but most changes in movement direction occurred during this period, thus most of the recorded changes in crown shape were probably not controlled by ambient light. The highest movement amplitudes,for periodic circadian movement around 2 cm were observed for Aesculus and Acer, compared to non-periodic continuous change in shape of 5 cm for Gleditschia and 2 cm for Fargesia. In several species we detected 2-4 hours cycles of minor crown movement of 0.5-1 cm, which is close to the limit of our measurement accuracy. We present a conceptual framework for interpreting observed changes as a combination of circadian rhythm with a period close to 12 hours, short-term oscillation repeated every 2-4 hours, aperiodic continuous movement in one direction and measurement noise which we assume to be random. Observed movement patterns are interpreted within this framework, and connections with morphology and taxonomy are proposed. We confirm the existence of overnight “sleep” movement for some trees, but conclude that circadian movement is a variable phenomenon in plants, probably controlled by a complex combination of anatomical, physiological and morphological factors.},
	year = {2017},
	eissn = {1664-462X},
	orcid-numbers = {Zlinszky, András/0000-0002-9717-0043; Molnár, Bence/0000-0002-2602-2684}
}

@{MTMT:3233254,
	title = {A Szent László-herma fotogrammetriai felmérése},
	url = {https://m2.mtmt.hu/api/publication/3233254},
	author = {Molnár, Bence and Fekete, Károly},
	booktitle = {Szent király, Lovagkirály},
	unique-id = {3233254},
	year = {2017},
	pages = {88-93},
	orcid-numbers = {Molnár, Bence/0000-0002-2602-2684}
}

@CONFERENCE{MTMT:3217702,
	title = {Rockfall hazard assessment of nearly vertical rhyolite tuff cliff faces by using terrestrial laser scanner, UAV and FEM analyses},
	url = {https://m2.mtmt.hu/api/publication/3217702},
	author = {Török, Ákos and Barsi, Árpád and Görög, Péter and Lovas, Tamás and Bögöly, Gyula and Czinder, Balázs and Vásárhelyi, Balázs and Molnár, Bence and Somogyi, József Árpád},
	booktitle = {EGU General Assembly 2017: Conference Abstracts},
	unique-id = {3217702},
	year = {2017},
	orcid-numbers = {Török, Ákos/0000-0002-5394-4510; Barsi, Árpád/0000-0002-0298-7502; Görög, Péter/0000-0002-0360-1966; Lovas, Tamás/0000-0001-6588-6437; Bögöly, Gyula/0000-0001-8251-6577; Czinder, Balázs/0000-0002-8009-4312; Vásárhelyi, Balázs/0000-0002-0568-1031; Molnár, Bence/0000-0002-2602-2684; Somogyi, József Árpád/0000-0002-7247-4470}
}

@CONFERENCE{MTMT:3215795,
	title = {Rendszerharmónizáció a BME Építőmérnöki Karán},
	url = {https://m2.mtmt.hu/api/publication/3215795},
	author = {Molnár, Bence and Joó, Attila László and Sinka, Róbert},
	booktitle = {Networkshop 2017},
	unique-id = {3215795},
	year = {2017},
	orcid-numbers = {Molnár, Bence/0000-0002-2602-2684; Joó, Attila László/0000-0002-8010-7021}
}

@article{MTMT:3082475,
	title = {Algebraic method to speed up robust algorithms: example of laser-scanned point clouds},
	url = {https://m2.mtmt.hu/api/publication/3082475},
	author = {Paláncz, Béla and Awange, JL and Lovas, Tamás and Lewis, R and Molnár, Bence and Heck, B and Fukuda, Y},
	doi = {10.1080/00396265.2016.1183939},
	journal-iso = {SURV REV},
	journal = {SURVEY REVIEW},
	volume = {49},
	unique-id = {3082475},
	issn = {0039-6265},
	year = {2017},
	eissn = {1752-2706},
	pages = {408-418},
	orcid-numbers = {Lovas, Tamás/0000-0001-6588-6437; Molnár, Bence/0000-0002-2602-2684}
}

@misc{MTMT:3314799,
	title = {Adatbázis rendszerek. Segédlet a 3. házi feladat elkészítéséhez},
	url = {https://m2.mtmt.hu/api/publication/3314799},
	author = {Molnár, Bence and Koppányi, Zoltán and Berényi, Attila},
	unique-id = {3314799},
	year = {2016},
	orcid-numbers = {Molnár, Bence/0000-0002-2602-2684; Koppányi, Zoltán/0000-0003-3795-0037}
}

@article{MTMT:3118492,
	title = {A robust cylindrical fitting to point cloud data},
	url = {https://m2.mtmt.hu/api/publication/3118492},
	author = {Paláncz, Béla and Awange, J L and Somogyi, József Árpád and Rehány, Nikolett and Lovas, Tamás and Molnár, Bence and Fukuda, Y},
	doi = {10.1080/08120099.2016.1230147},
	journal-iso = {AUST J EARTH SCI},
	journal = {AUSTRALIAN JOURNAL OF EARTH SCIENCES},
	volume = {63},
	unique-id = {3118492},
	issn = {0812-0099},
	abstract = {ABSTRACTEnvironmental, engineering and industrial modelling 
		of natural features (e.g. trees) and man-made features (e.g. 
		pipelines) requires some form of fitting of geometrical 
		objects such as cylinders, which is commonly undertaken using 
		a least-squares method that?in order to get optimal 
		estimation?assumes normal Gaussian distribution. In the 
		presence of outliers, however, this assumption is violated 
		leading to a Gaussian mixture distribution. This study 
		proposes a robust parameter estimation method, which is an 
		improved and extended form of vector algebraic modelling. The 
		proposed method employs expectation maximisation and maximum 
		likelihood estimation (MLE) to find cylindrical parameters in 
		case of Gaussian mixture distribution. MLE computes the model 
		parameters assuming that the distribution of model errors is 
		a Gaussian mixture corresponding to inlier and outlier 
		points. The parameters of the Gaussian mixture distribution 
		and the membership functions of the inliers and outliers are 
		computed using an expectation maximisation algorithm from the 
		histogram of the model error distribution, and the initial 
		guess values for the model parameters are obtained using 
		total least squares. The method, illustrated by a practical 
		example from a terrestrial laser scanning point cloud, is 
		novel in that it is algebraic (i.e. provides a non-iterative 
		solution to the global maximisation problem of the likelihood 
		function), is practically useful for any type of error 
		distribution model and is capable of separating points of 
		interest and outliers.},
	year = {2016},
	eissn = {1440-0952},
	pages = {665-673},
	orcid-numbers = {Somogyi, József Árpád/0000-0002-7247-4470; Rehány, Nikolett/0000-0002-2900-5046; Lovas, Tamás/0000-0001-6588-6437; Molnár, Bence/0000-0002-2602-2684}
}