Scientific Projects

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.

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:

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

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.

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.

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).

European Defence Agency Ad-Hoc Research and Technology Category B Project
2014/12-2017/12

Based on the APIS project, with extended goals: "To study, define, analyse a new system concept for implementing and demonstrating ISAR imaging capability in a plug-in multistatic array passive radar finalized to target recognition."

Execute the research and development program, that was defined by the key regional members of manufacturing-machining-automotive-mechatronics branches. With national and global players, realization of future oriented, strategically important, technically clearly defined and interrelated, targeted research and development activities.

The objective of the Share-PSI 2.0 Thematic Network is to bring together a very broad range of stakeholders in the re-use of public sector information and to help them reach consensus on technical standards, complementing existing and ongoing initiatives in the domain.