Running research projects
The project aims to improve human-centric lighting tackling the conflicting needs of human's biological clock and visual performance, comfort and experience.
An Internet of Secure Things
The project focuses on security and trust in the context of IoT. In addition to technical challenges, it addresses issues such as security certification, effective IoT monitoring, and overcoming operational and societal challenges limiting governance, privacy, assurance, and crime prevention capabilities across all sectors.
Metrology Advances for Digitized Electronic Components
High Performance Vehicle Computer (HVPC)
The project develops next generation metrology tools, machine learning methods and applications in support of Industry 4.0 high volume manufacturing in the semiconductor manufacturing industry.
EDL - Efficient Deep Learning
The project aims to significantly improve the applicability of deep learning, by creating data efficient training methods, and tremendously improving computational efficiency, both for training and inference.
SCOTT - Secure Connected Trustable Things
To realize the full potential of IoT we need to build trust in wireless solutions and increase their social acceptance. SCOTT will enhance security, privacy and safety of the underlying technologies.
Machine intelligence in production systems
The aim is to create a user platform across value chains and industries, thus promoting the digital networking of manufacturing companies, production machines and products.
Integrated Cooperative Automated VEhicles
This research program addresses current transportation challenges regarding throughput and safety with an integrated approach to automated and cooperative driving.
Machine Learning Techniques - Metadata
Intelligent Lighting System
The overall goal of this project is to make lighting control systems more centered towards the human user.
Impuls Smart Mobility
Finished research projects
Highly autonomous CPS
Highly automated systems help to solve many societal challenges but can be costly to develop, test and certify for safe use. ENABLE S3 will lead to a significant time and cost reduction for the validation process across 6 industrial domains: automotive, aerospace, rail and maritime, as well as the health care and farming sectors.
This community building project aimed to establish research collaboration between 4TUs around the theme IoT and to showcase some of the potentials of IoT through working demonstrations.
Open Architecture for lighting networks
The vision of the OpenAIS project was to create an open ecosystem to enable a wider community to deliver the smartness of light. Allow easy adaptability to cater for the diversity of people and demands
SLCS - Smart Lighting for City Services
EIT ICT Labs
The main goals of the SLCS project were to: (i) extend the platform developed for intelligent light control in the IOLS 2014 project to sensing solutions focused on city services, (ii) scale up system to big-data and data-analytics infrastructure to collect and retrieve relevant information from sensing platforms to facilitate large-scale deployments, and (iii) ature dashboard solutions to extract and present information to stakeholders and users of the smart spaces.
IOLS - Intelligent Outdoor Lighting Systems
EIT ICT Labs
The goal of this project was to implement an Intelligent Outdoor Lighting System for improved energy efficiency, user experience and safety feeling, via: (i) configuration, operation and maintenance of large scale multi-sensor heterogeneous lighting control infrastructures, (ii) intelligent scene and context classification, and (iii) real-time actuation of outdoor lights based on data analysis and machine learning.
Machine intelligence in production systems
The overall concept of MANTIS was to provide a proactive maintenance service platform architecture based on Cyber Physical Systems that allows to estimate future performance, to predict and prevent imminent failures and to schedule proactive maintenance.
Robust Design of Cyber-Physical Systems Control based on Data-Intensive Sensing
The project aimed at providing a multi-disciplinary design approach for complex and data-intensive control problems that is cost-effective, utilizes resources effectively, and results in high performance and robustness.
Embedded Multi-Core Systems For Mixed Critically Applications In Dynamic And Challengable Real-Time Environments
The project aimed creating self-x software solutions on top of IoT networks and creating a piecemeal development methodology as well as the tools necessary for this purpose.
This project aimed to develop a general purpose program simulation of chemical reactions taking place at crystal surfaces.
SAIL - Semantic Adaptive Infomedia Lighting
EIT ICT Labs
The main innovation objective of SAIL was to develop a disruptive and highly profitable set of hybrid services for smart interactive retail advertising and shopping that connects 2D/3D products in a physical retail place with mobile information and services, and provides a meeting place between physical and digital consumers for future shopping based on smart/semantic info-light technologies.
Automated Protection and Healing Software Solutions
The project aimed to create self-x software solutions on top of IoT networks and creating a piecemeal development methodology as well as the tools necessary for this purpose.
Interoperable GCDC AutoMation Experience
The objective of i-GAME was to develop technologies that speed-up the real-life implementation of automated driving, which is supported by communication between the vehicles and between vehicles and road-side equipment.
CRitical sYSTem engineering AcceLeration
The project aimed at fostering Europe’s leading edge position in embedded systems engineering in particular regarding quality and cost effectiveness of safety-critical embedded systems and architecture platforms.
Many-core programming and resource management for high-performance Embedded Systems
The MANY project aimed to develop an improved programming environment for the embedded-systems realm; one which would facilitate faster development of applications for a variety of hardware platforms.
Resource Management for Application Frameworks in Clouds
One of the main objectives of this project was to design a generic framework that allows a wide range of current and future frameworks to be scheduled dynamically in cluster and datacenter environments.
OLDA - Open Local Data Applications
EIT ICT Labs
One of the objectives of this project was to investigate how to translate lighting preferences provided by the user, or inferred by the smart space.
Sensor Networks for Public Safety
This project aimed at (i) ubiquitous programming platform for heterogeneous devices IPv6 for resource-constrained devices (in particular, the 6loWPAN standard), (ii) service discovery and application protocols (mDNS, CoAP), and (iii) energy-efficient, fast reprogramming features.
Intelligent Street Lighting for Energy Saving and Safety
The project aimed at nvestigating the architecture of a control system for dynamic road lighting
Smart Context-aware Services
The project aimed to create critical software building blocks for providing contextual services to people in various environments and use cases, which go beyond the traditional view and implementations of context awareness for services.
Computing Fabric for High performance Applications
The project tackled the design problem of very restricted power budgets using complex multi-core/manycore system-on-chips (SoCs) that enable the use of such leading-edge wireless technologies.
Optimization of Modular Embedded Computer-vision Architectures
A feasible algorithm can interleave processing and transmission so as to generate an optimal schedule to obtain functional requirement of timeliness. To this end, the project aimed at modeling reliability, predictability and performance of these two resources; thus offering an integrated system architecture.
The main objective of the project was to develop intelligent lighting solutions for the world of tomorrow.
Stratec Platform Intelligent Traffic System
SPITS aimed to create an open, scalable, real-time, distributed, sustainable, secure and affordable platform for cooperative ITS applications, evolving from existing infotainment systems.
Video Context Modeling
The project addressed video content analysis, enhanced by modeling and using context information, and applying this in an embedded context.
iLighting the world
The main challenge addressed by the project was to develop the software infrastructure to support multiple applications on top of a distributed system of resource-constrained devices.
HTAS-Verified, Economical and Robust Integrated Functionality for In-vehicle Embedded Development
Versatile Interface for TRUstworthy VItal User (oriented) Services
Smart Objects For Intelligent Applications
The project aimed to create a semantic interoperability platform which enables and maintains cross-industry interoperability which is a platform for new services. Concurrently the solution will foster innovation while maintaining value of existing legacy multi-vendor interoperability platform.
Content Analysis & Networked Technologies towards Advanced and Tailored Assistance
The ultimate technological goal of the project was to develop a system that is fully content aware and has understanding of the content that it is processing.
WASP - Wirelessly Accessible Sensor Populations
The project aimed at providing an integrated approach to programming sensor networks.
COnverged MEssaging Technology
The project aimed to define and implement a Converged Messaging framework based on IMS in order to exchange messages between new and existing message domains anytime and anyplace, irrespective of network technology or device used.
Trust for All
The project aimed to develop a model to represent trust attributes supported by a middleware software architecture.
Sharing resources in virtual communities for storage, communications, and processing of multimedia data
The project addressed the formation of applications from distributed services.
Gilder beats Moore
This project's focus was on digital signal processing algorithms which contain feedback loops (for example the IIR filter). The challenge was in implementing these algorithms in such a way that the sample rate exceeds the clock rate.
Research had shown that UML models have quality problems such as inconsistency, incompleteness and the risk for misinterpretation. Within this project, developing techniques to improve the quality of UML models was addressed.
Software Platform and component environment 4 you
The project aimed to extend the middleware layer defined in the ROBOCOP project, by including the awareness of the framework and its components with respect to Fault, Power and Terminal management related aspects.
Content Analysis and Networked DELivery Architectures towards Intelligent Video
Quality of Service for In-Home Digital Networks
The project was focused on the problems surrounding resource sharing in networks of consumer devices, more precisely, of connected real-time embedded systems.
Fabric - Federated Applications Based on Real-time Interacting Components
The project aimed at developing an architecture in which several standards and technologies in the home networking context can be integrated.
Software Architecture = Components + Coordination
The project aimed to develop a model for composing systems out of component such that the composition enables cooperation but minimizes dependencies between components. This model should provide insight into the principles that govern the design of components and composition mechanisms for evolvable systems. Additionally, the model should support the analysis of dependability properties.
RoboCop - Robust Open Component Based Software Architecture for Configurable Devices Project
The project addressed developing component-based software architecture for the middleware layer of high volume embedded appliances, enabling independent trading of software components (and of the associated IPR).
Internet-based Monitoring and Control of Embedded Systems
The project addressed technical challenges that arise when connecting arbitrary embedded systems to the Internet. These challenges include correctness, distribution, authorization, security and discovery.