The main, overall objective of the project is to establish the Centre of Excellence in Production Informatics and Control (EPIC CoE) as a leading, internationally acknowledged focus point in the field of cyber-physical production systems. The main goals of the EPIC CoE are, one the one hand, to upgrade this scientific centre of excellence, and on the other hand, to strengthen the ability of SZTAKI and the two faculties of BME to transfer the research results to the industry with the support of the participating FhG institutions, with other words to enhance the applied resea
Define a generic pluggable framework, called MiCADO (Microservices-based Cloud Application-level Dynamic Orchestrator) that supports optimal and secure deployment and run-time orchestration of cloud applications. The project will provide a reference implementation of this framework by customising and extending existing, typically open source solutions. Moreover, it will demonstrate via large scale close to operational level SME and public sector demonstrators the applicability and impact of the solution.
In this project we address a new and very important issue: the observation of small backcountry wetland areas surrounded by different areas, hosting important species and delivering essential ecosystem services and biodiversity. Although these patches are small one by one, but together they can contribute to the wetland cover area with a very high rate – their protection and mapping is a need.
Recent Simultaneous Localization and Mapping (SLAM) algorithms are basically developed for stable environment in time; dynamic scenes cause strong bias in the localization models. For this reason we will improve the conventional SLAM calculus with statistical optimizing the models of changing parts and their neighborhood connection; this will result in semantic connectedness investigation on the models, which needs good classification methods of the scalable cluster structure.
Up to date 3D sensors revolutionized the acquisition of environmental information. 3D vision systems of self driving vehicles can be used for -apart from safe navigation- real time mapping of the environment, detecting and analyzing static (traffic signs, power lines, vegetation, street furniture), and dynamic (traffic flow, crowd gathering, unusual events) scene elements.
Vehicle-oriented research has been pursued for many years now at SCL. Its results materialized in various forms ranging from research initiatives and R&D project proposals through conference and journal publications to industrial R&D contracts. However, a comprehensive demonstration of the vehicle-oriented research output has always been problematic within the Institute due to its limited facilities available in respect of this application field.
Our department develops a 2-camera vision system within the MTA-SZTAKI ISAAC internal project, which system can detect and track a small UAV in real-time on the Sindy aircraft. The system can also identify dangerous approaches.
MTA SZTAKI, EMI Laboratory has started a 24 month long, EUREKA international R&D&I cooperation project under the acronym: INTRO4.0 , on the 1st of April, 2016. Due to the international EUREKA project class, the national partners prepare cooperation based efforts, in this case with the German KIT, Karlsruhe Institute of Technology, which acts also as the coordinator. Among the Hungarian partners, HEPENIX Research and Development Ltd. plays the national industrial coordinator’s role, and SZTAKI is the RTD academic partner.
The VISIONproject is a European-Japanese collaborative research project. To enhance air transport safety, the main objective of the project is to validate smarter technologies for aircraft guidance, navigation and control (GN&C) by including: