Video Gallery

This is the final video of the ROBO-SPECT FP7 project. ROBΟ-SPECT provides an automated, faster (that does not, or only minimally interfere with tunnel traffic) and reliable tunnel inspection and assessment solution that can combine in one pass both inspection and detailed structural assessment. Find more at: http://www.robo-spect.eu/

RECONASS project is aiming to provide a monitoring system for constructed facilities that will provide a near real time, reliable, and continuously updated assessment of the structural condition of the monitored facilities after a disaster, with enough detail to be useful for early and full recovery planning. The above assessment will be seamlessly integrated with automated, near real-time and continuously updated assessment of physical damage, loss of functionality, direct economic loss and needs of the monitored facilities and will provide the required input for the prioritization of their repair.

The main objective of ROBΟ-SPECT is to provide an automated, faster (that does not, or only minimally interfere with tunnel traffic) and reliable tunnel inspection and assessment solution that can combine in one pass both inspection and detailed structural assessment. The 1st test of the ROBO-SPECT integrated system were executed on the week 20-24 July 2015 at the Research Infrastructure Tunnels of VSH (consortium partner).

The vision of FABRIC is the large-scale adoption of pure Electric Vehicles (EVs) in future transportation systems. This wide deployment requires mature EV technology and advanced charging solutions that provide a user experience similar to today’s cars.
The main challenge that FABRIC is tackling is “range anxiety” that is caused by the limited range current EVs are suffering from. In the long term, electric vehicles might be able to collect energy from the road, in a conductive or contactless mode.
Compared to the current paradigms of larger installed storage capacity, fast charge or switchable batteries, advanced on-road charging solutions will improve the driving range and battery lifetime of the Full Electric Vehicles (FEV) as well as their energy efficiency and price, given the need for a smaller battery.

TeleFOT is a Large Scale Collaborative Project under the Seventh Framework Program, co-funded by the European Commission DG Information Society and Media within the strategic objective “ICT for Cooperative Systems”. TeleFOT aims to test the impacts of driver support functions on the driving task with large fleets of test drivers in real-life driving conditions. In particular, TeleFOT assesses via Field operational Tests the impacts of functions provided by aftermarket and nomadic devices, including future interactive traffic services that will become part of driving environment systems within the next five years.

ICCS is the leader of TeleFOT SP3 which is assigned with the actual execution of the trials in seven test sites across Europe and ensures the availability of the data for the later analysis. ICCS is involved in the formulation of the framework, manages the Greek test site and participates in the impact assessment work.

eCall is an initiative with the purpose to bring rapid assistance to motorists involved in a collision anywhere in the European Union.
In case of a crash, an eCall-equipped car automatically calls the nearest emergency centre. Even if no passenger is able to speak, e.g. due to injuries, a ‘Minimum Set of Data’ is sent, which includes the exact location of the crash site. Shortly after the accident, emergency services therefore know that there has been an accident, and where exactly.
eCall cuts emergency services response time. It goes down to 50% in the countryside and 60% in built-up areas. The quicker response will save hundreds of lives in the EU every year. The severity of injuries will be considerably reduced in tens of thousands of cases. You can also make an eCall by pushing a button inside the car. Witnessing an accident, you can thus report it and automatically give the precise location. As eCall normally ‘sleeps’, it does not allow vehicle tracking outside emergencies.

This short video showcases version 1.0 of OpenBCI Labyrinth, a 3d virtual environment created as a showcase in the VR team on the use of electro-oculography for navigation in a 3d environment. It uses an EEG to record and transmit eye signals over the network for processing. A signal analyzer detects filters the transmitted signal and decomposes it into simple commands: “move left”, “move forward”, “move right” and “execute”. In case an EEG is not available, the EEG signal can be emulated via a typical computer mouse. The 3d environment is developed in pure C# and OpenGL 3.0 via OpenTK (http://www.opentk.com, the Open Toolkit library). The implementation is cross-platform and works on Windows, Linux and Mac OS X. It is aimed for display on 1-wall CAVEs with dual back-projectors but can also be run on typical computers and video cards (with the loss of stereo 3d capabilities and incorrect gamma calibration).

For more technical details, please visit: http://www.opentk.com/project/labyrinth. A complete writeup will be made available through Artemis at: http://artemis.cslab.ntua.gr/search/. The source-code and binaries for the application will be made available once this is complete.

VR-Hyperspace is a 7th Framework Programme project running from October 2011 to September 2014.

VR‐HYPERSPACE will carry out fundamental research and development leading to a paradigm shift in relation to passenger comfort. The project adopts radical approaches using virtual and mixed reality technologies to change perception of space, and more profoundly, enable to change the very perception of oneself.

VR‐HYPERSPACE aims to utilize current state‐of‐the‐art virtual reality (VR) and mixed reality (MR) technology to prototype future possibilities, and especially to explore the specific idea that the exploitation of recent research on body representation can significantly improve passengers’ perception of comfort. VR can also be used to systematically investigate the relative contributions of several design aspects of interior spaces, such as physical shape of the cabin, lighting and the relationship between passengers and the services provided.

HAVEit aims at the realization of the long-term vision of highly automated driving for intelligent transport. The project will develop, validate and demonstrate important intermediate steps towards highly automated driving.
HAVEit will significantly contribute to higher traffic safety and efficiency usage for passenger cars, busses and trucks, thereby strongly promoting safe and intelligent mobility of both people and goods. The significant HAVEit safety, efficiency and comfort impact will be generated by three measures:

1. Design of the task repartition between the driver and co-driving system (ADAS) in the joint system.
2. Failure tolerant safe vehicle architecture including advanced redundancy management
3. Development and validation of the next generation of ADAS directed towards higher level of automation as compared to the current state of the art.

MONICO is an EC funded “Specific Targeted Research Project” (STREP) under the capacity area “Research for the benefit of SMEs” where emerging fiber optic deformation monitoring systems are combined with advanced algorithms in order to assess the condition and evaluate the safety of tunnel linings under operating and seismic loading.Aim of the Project: To ensure the safety of vulnerable tunnel cross-sections or sections where very high standards of safety are required by integrating fibre optic sensors providing a real-time, wireless and remote deformation sensing capability, with software that will collect and process the signals and assess the structural reliability of the lining.

SAFESPOT creates dynamic cooperative networks where the vehicles and the road infrastructure communicate to share information gathered on board and at the roadside to enhance the drivers’ perception of the vehicle surroundings.
Road accidents prevention via a SAFETY MARGIN ASSISTANT to detect potentially dangerous situations in advance and extend the drivers’ awareness of the surroundings in space and time.
SAFESPOT is an integrated research project co-funded by the European Commission Information Society Technologies among the initiatives of the 6th Framework Program 
SAFESPOT aims to:

1. Use the infrastructure and the vehicles as sources and destinations of safety-related information and develop an open, flexible and modular architecture and communication platform.
2. Develop the key enabling technologies: ad-hoc dynamic network, accurate relative localisation, dynamic local traffic maps.
3. Develop and test scenario-based applications to evaluate the impacts on road safety.
4. Define a sustainable deployment strategy for cooperative systems for road safety, evaluating also related liability, regulations and standardisation aspects.

GOOD ROUTE aims to develop a cooperative system for dangerous goods vehicles routing, monitoring, re-routing (in case of need), enforcement and driver support, based upon dynamic, real time date, in order to minimise the Societal Risks related to their movements, whereas still generating the most cost efficient solution for all actors involved in their logistic chain.
Several thousands of trucks carrying dangerous goods circulate within European roads on daily basis. They utilise urban roads, rural roads, highways, tunnels and long bridges and in some case they are not allowed in some of them. But the actual accident risk and impact when using secondary roads or other alternative ways is not calculated. In addition, when due to unforeseen events (traffic jams, accidents, etc.) they need to change route, they do not have any particular guidance on the safest alternative nor are consequences of road choice to the business chain and societal risk calculated.