Cím: 1111 Budapest, Stoczek u. 2.
 St. Building, 1. floor 110

 E-mail: kjit@kjk.bme.hu

 Telefon: (36-1) 463-1013

mechatronika

kozut

vasut

legi

Competencies
 

vasut

Industrial works

oktatas

>
Education

vasut

Research

MSc Thesis Topics

 

MSc Thesis Topic

supervisor's name

Driver categorization based on vehicle motion and trajectory data

András Mihály

Multiple Fault-Tolerant In-Wheel Vehicle Control Based on High-level Control Reconfiguration

András Mihály

Reconfiguration control of in-wheel electric vehicle based on battery state of charge

András Mihály

Design of the optimal motions of autonomous vehicles in intersections

Balázs Németh

Modeling driver behaviour in relation to the autonomous vehicles

Balázs Németh

Improving safety management system at the phase of specification: Assessment and formal methods and evaluating their efficiency

Géza Szabó

Safety design (including safety management) of a railway interlocking component; nonsafety PLCs

Géza Szabó

Design of integrated vehicle control for trajectory tracking

Péter Gáspár

Fault-tolerant control design for trajectory tracking in driver assistance systems

Péter Gáspár

Lateral Vehicle Control with Reinforcement Learning Methods

Szilárd Aradi

Feasible trajectory planning of a dynamic vehicle model by using hierarchical predictive method

Tamás Bécsi

Object tracking based on radar data for multiple vehicle sensor network, by using particle filtering methods

Tamás Bécsi

Vehicle-in-the-Loop simulation in CARLA simulator

László Szőke

Application of graph neural networks for the representation of highway traffic situations

László Szőke

Application of graph neural networks in vehicle control

László Szőke

Application of transformer architectures in reinforcement learning

László Szőke

Application of multi-camera object tracking in automotive environment sensing

László Szőke

Model-based control of road vehicles

Ádám Szabó

Path following control using receding horizon reinforcement learning

Ádám Szabó

Application of multi-agent reinforcement learning in vehicle control

Ádám Szabó

Object tracking algorithms in automotive environment sensing

László Lindenmaier

Development of sensor fusion algorithms to support automotive environment sensing

László Lindenmaier

Automated area traversal with a differential robot Péter Farkas
Camera-based environmental sensing system of a model vehicle Péter Farkas
Development of a lidar-based parking assistant system for real model vehicle Péter Farkas
Reinforcement learning based automated parking system Péter Farkas
Reinforcement learning based autonomous reversing system for articulated vehicle assemblies Péter Farkas
Camera-based localization of vehicles using a neural network Olivér Törő. Domonkos Csuzdi
Simultaneous localization and mapping (SLAM) using a mobile robot Olivér Törő. Domonkos Csuzdi
Trainable state estimation algorithms Olivér Törő. Domonkos Csuzdi

Application of Artifical Intelligence in road traffic (data mining, clustering)

Tamás Tettamanti

Objective function definition for autonomous car routing. Assessing the routing of individuals and the socially optimal routing.

Tamás Tettamanti

Microscopic traffic simulation (VISSIM or SUMO) to model and assess intelligent parking management strategies (P+R, route guidance)

Tamás Tettamanti

Road-rail intersection modelling in SUMO traffic simulation software and adaptive control planning based on the arrival time of railway trains

Tamás Tettamanti

Methodology for the optimal allocation of signalized intersections based on multiple factors

Tamás Tettamanti

Multimodal parcel shipping solution (optimal transport modes with handovers), simulated in SUMO

Tamás Tettamanti

Impact assessment of accidents/incidents in space/time based on Budapest WAZE data (with access to https://trafmine.com), i.e.: what is the probability of a given accident causing a further accident?

Tamás Tettamanti

Spatio-temporal impact assessment of road closures based on WAZE data from Budapest (access to https://trafmine.com provided), i.e.: what external costs does a given road closure cause (e.g. additional accidents, queue length, emissions)? Tamás Tettamanti

Visualization of V2X communication in Unity 3D

Tamás Ormándi

Cohda Wireless and OMNET++ mixed reality simulation

Tamás Ormándi

Simulation of hybrid V2X communication (802.11p and 5G) with the help of OMNeT++, INET and Simu5G

Tamás Ormándi

Implementing standard GeoNetworking protocol in OMNeT++ with the help of INET

Tamás Ormándi

Development of a machine learning-based GLOSA (Green Light Optimal Speed Advisory) system

Balázs Varga

Game theoretic assessment of traffic situations. Developing optimal decision making strategies for AVs

Balázs Varga

Big data analysis of real traffic data (WAZE, TomTom, Telekom OD matrix, Google Popular Times) (access to https://itraffictools.fomterv.hu interface provided)

Balázs Varga

Dynamic downscaling of traffic simulation: Using information theory, determine which regions of the road network should be simulated at what level of detail (micro, meso, macro) Balázs Varga

Graph Neural Networks (GNN) for road traffic state estimation

Balázs Varga

Calibration of microscopic road traffic simulator based on improved genetic algorithm. (to improve the accuracy and convergence speed of the genetic algorithm) Xuan Fang
   
We use cookies

We use cookies on our website. Some of them are essential for the operation of the site, while others help us to improve this site and the user experience (tracking cookies). You can decide for yourself whether you want to allow cookies or not. Please note that if you reject them, you may not be able to use all the functionalities of the site.