Scientific Projects

1 Oct 2015– 30 Sep 2018

Modern multifunctional clinical instruments enhance the accuracy of the medical diagnostics. The aim of this development project is to create a multi or hyper-spectral illuminator that can be used in medical imaging instruments such as endoscopes. The new illuminator will be able to generate high power light beam composed of arbitrary narrow bandwidth spectral components  and modify the composition quickly in time to support multi-spectral imaging with a video camera. 

The homepage of the project:
​​​​​​​http://endo-scopia.hu/?page_id=69&lang=hu

Oct 2015

Since autumn 2015, our laboratory cooperates with Hoya Szemüveglencse Gyártó Magyarország Ltd. within the topics of simulation analysis and „Industry 4.0”. The primary goal of the project is to model different segments of the company’s plant in Mátészalka, according to different capacity planning and process improvement criteria. Within the developments and workshops of the cooperation, the engineers of Hoya picked up the basics of simulation modelling, enabling them to use this technology in the everyday practice.

1 Oct 2015– 30 Sep 2018

The MPLab laboratory is involved in the joint project SCOPIA where the task of our colleagues is to develop accurate image registration techniques for multi-spectral images:   Predicting the chances of a successful Embryo transfer by the use of minimal invasive endoscopic device

22 Sep 2015– 30 Jun 2017

Traffic management plays an important role in the smart city concept, enabling the authorities to observe and control the traffic flow. The key elements of such system are the sensing nodes, which provide information regarding the speed of each individual vehicle. Current speed measurement devices use separate sensors for speed estimation (RADAR/LIDAR), and vehicle identification (camera). These are expensive devices, and thus not suitable for example, to monitor the whole road network of a city, which would require a large number of sensing nodes.

1 Jul 2015– 30 Jun 2017

MTA SZTAKI initiated and leads an R&D consortium aiming to develop automated control functionality for commercial vehicles. The R&D objectives include the reduction of fuel consumption and of the emission of air pollutants, as well as the improvement of road safety and driver comfort. The project is organised in the following thematic groups:

1 Jul 2015– 30 Jun 2017

MTA SZTAKI initiated and leads an R&D consortium aiming to develop automated control functionality for commercial vehicles. The R&D objectives include the reduction of fuel consumption and of the emission of air pollutants, as well as the improvement of road safety and driver comfort. The project is organised in the following thematic groups:

  1. System architecture
  2. Automated vehicle control
  3. Energy-optimal vehicle control
  4. Power-supply
  5. Drive

 

1 Jun 2015– 30 Nov 2018

A closer coupling of wing aeroelasticity and flight control systems in the design process opens new opportunities to explore previously unviable designs. Common methods and tools across the disciplines also provide a way to rapidly adapt existing designs into derivative aircraft, at a reduced technological risk (e.g. using control to solve a flutter problem discovered during development). Flutter Free FLight Envelope eXpansion for ecOnomical Performance improvement (FLEXOP) thus opens a complete new dimension for derivative aircraft design.

1 Apr 2015– 1 Apr 2019
The European manufacturing industry is facing challenges in terms of adaptability, flexibility and vertical integration. The SYMBIO-TIC project adresses these important issues towards a safe, dynamic, intuitive and cost effective working environment were inmersive and symbiotic collaboration between human workers and robots can take place.
1 Feb 2015– 31 Jan 2018

Existing research mostly focuses on pre-optimising algorithms, which are not applicable to already available VM images. With its VM synthesiser, ENTICE will extend pre-optimising approaches so that image dependency descriptions are mostly automatically generated. The project will also introduce new comprehensive post-optimising algorithms so that existing VM images can be automatically adapted to dynamic Cloud environments.

Jan 2015

The sense and avoid (S&A) capability is crucial for the unmanned aerial vehicles (UAVs). It is due to the necessity of integrating civilian and governmental UAVs into the common airspace. In a S&A scenario, the ego-UAV is the observer, which  estimates the probability and/or the possibility of collision. Based on this estimation, it initiates an avoidance maneuver, if and when it is required. The probability of collision can be determined  through the estimation of direction and distance of the other aircraft or UAV (called in this context the intruder).