Scientific Projects

1 Oct 2016– 30 Sep 2020

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.

1 Oct 2016– 30 Sep 2019

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. 

2 Aug 2016– 31 Mar 2017

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.

1 Jul 2016– 31 Jul 2017
Két kamerás fedélzeti látórendszer
2-camera on-board vision system

 

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.

1 Apr 2016– 31 Mar 2018

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.

1 Mar 2016– 28 Feb 2019

The VISION project  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:

1 Feb 2016– 31 Jan 2019

The COURAGE project is exploring the methods for cultural opposition in the socialist era (cc. 1950-1990). We are building a database of historic collections, persons, groups, events and sample collection items using a fully linked data solution with data stored in an RDF triple store. The registry will be used to create virtual and real exhibitions and learning material, and will also serve as a basis for further narratives and digital humanities (DH) research.

1 Jan 2016– 31 Dec 2018

Started in January 2016, the EXCELL project (Actions for Excellence in Smart Cyber-Physical Systems applications through exploitation of Big Data in the context of Production Control and Logistics) foresees the collaboration of researchers from four European countries (Hungary, Germany, United Kingdom, Belgium) in the field of Cyber-Physical Systems and Big Data applications serving production and logistics networks.

31 Dec 2015– 30 Nov 2018

STREAMLINE will address the competitive advantage needs of European online media businesses (EOMB) by delivering fast reactive analytics suitable in solving a wide array of problems, including addressing customer retention, personalized recommendation, and more broadly targeted services. STREAMLINE will develop cross-­sectorial analytics drawing on multi­‐source data originating from online media consumption, online games, telecommunications services, and multilingual web content. STREAMLINE partners face big and fast data challenges.

1 Dec 2015– 30 Nov 2017

Our goal is to overcome the present state of the art (decision trees, logistic regression) in analyzing customer behavior and predicting risks for bank customers. We emphasize the deployment of open source analytics software. Our partner is OTP Bank.