Sensors and data fusion is a relatively young technology domain that encompasses the theory, techniques and tools conceived and employed for exploiting the synergy in the information acquired from multiples sources (heterogeneous sensors, databases, information gathered by human).
This approach is at the boundary between signal processing, control theory and artificial intelligence.
We work on advanced multi-media (image, sound, speech), and on positioning (odometry, GPS, radar) in order to extract complex events or to modeling of the system's behaviour.
In addition to the basic techniques of modelling of various sensors, we use neural techniques, optimal decision, state-estimation as Kalman filter, fuzzy logic, …
Applications : self-positioning of vehicles as railway (where the safety is crucial), monitoring of places, public buildings and non-permanent events, improvement of the workflow in maintenance or logistics.
Current R&D projects
The DIGISTORM project (2016 - 2020)
The COST IC0903 project (2009 - 2013)
Knowledge Discovery from Moving Objects (MOVE)
The main objective of the Action is to develop improved methods for knowledge extraction from massive amounts of data regarding moving objects.
This Action aims to build a network for collaboration that leads to the improvement of ICT methods for knowledge extraction from massive amounts of data about moving objects. This knowledge is essential to substantiate decision making in public and private sectors. Moving object data typically include trajectories of concrete objects (e.g. humans, vehicles, animals, and goods), as well as trajectories of abstract concepts (e.g. spreading diseases). While movement records are nowadays generated in huge volumes, methods for extracting useful information are still immature, due to fragmentation of research and lack of comprehensiveness from monodisciplinary approaches. Overcoming these limitations calls for COST-like networking. In response to a strong expression of interest from the academic, industrial, and user communities, this Action will empower the development of substantial and widely applicable methods in mobility analysis, focusing on representation and analysis of movement, including spatio-temporal data mining, and visual analytics. Results will be demonstrated through showcases for decision makers. Researchers from various subdomains in computer and geographic information sciences will join domain specialists from a broad range of relevant applications, from courier services and transportation to ecology, and epidemiology, among others. This will make Europe a central stakeholder in an emerging key domain.
The DiYSE project (2009 - 2011)
The Do-it-Yourself Smart Experiences project (DiYSE) aims at enabling ordinary people to easily create, setup and control applications in their smart living environments as well as in the public Internet-of-Things space, allowing them to leverage aware services and smart objects for obtaining highly personalised, social, interactive, flowing experiences at home and in the city.
The MediaTIC project (2008 - 2015)
The MediaTIC portfolio was submitted in September 2007 in response to the first call for proposals of the ERDF and started on 1st July, 2008. This ambitious project falls within the scope of measure 2.2 dedicated to the exploitation of the potential of research centres. More concretely, the project's objective is to increase the competitiveness of innovating technological SMEs in Wallonia through collective projects dictated by concrete industrial requests. It works as a cross-action for the innovation in the NTIC component of each strategic line defined by the Walloon Marshall Plan.
To reach that goal, Multitel, as a project leader, has gathered a consortium composed of academic entities and research centres split all over the Walloon territory. Actually, MediaTIC has been submitted in both objectives of the period for 2007-2013 of the European structural funds programme, namely "Convergence" and "Regional Competitiveness and employment". The project counts on the know-how of laboratories such as the SEMI, TCTS and Telecommunications units of the Faculté polytechnique de Mons, the TELE laboratory from the Catholic University of Louvain-la-Neuve, of the research units in microelectronics (Microsys) and signal & image processing (Intelsig) from the University of Liege, of the Centexbel and SIRRIS research centres and finally, of the GIE MUWAC. By calling upon complementary partners, Multitel aimed at providing MediaTIC with the typical action leverages of a collaborative research and allowing the projects focusing towards common objectives.
MediaTIC is a portfolio of six integrated projects oriented towards specific industrial needs. Each one is run by a specialist from Multitel in the targeted field. These thematic platforms are Transmedia, Envimedia, Tracemedia, Intermedia, 3Dmedia and Optimedia.
The NUMEDIART project (2007 - 2012)
Numediart is a long-term research programme centered on Digital Media Arts, funded by Région Wallonne, Belgium (grant N°716631). Its main goal is to foster the development of new media technologies through digital performances and installations, in connection with local companies and artists.
It is organized around three major R&D themes: HyFORGE - hypermedia navigation, COMEDIA - body and media, COPI - digital instrument making. It is performed as a series of short (3-months) projects, typically 3 or 4 of them in parallel, which are concluded by a 1-week "hands on" workshop.
Numediart is the result of collaboration between Polytech.Mons (Information Technology R&D Department) and UCL (TELE Lab), with a center of gravity in Mons, the cultural capital of Wallonia. It also benefits from the expertise of the Multitel research center on multimedia and telecommunications. As such, it is the R&D component of MONS2015, a broader effort towards making Mons the cultural capital of Europe in 2015.
The PIST project (2004 - 2008)
The PIST project (for Safe and Intelligent Positioning for Transport) deals with the development of sensor fusion systems for self-positioning of vehicles (navigation). The PIST team will design the algorithms for use in applications where safety is crucial, such as railways signalling. The project combines aspects of signal processing, data fusion, system modelisation and integrity assessment.
Past R&D projects
The F3M project (2004 - 2008)
The goal of the project is to assess the usability of a solution based on wearable computer connected through a wireless network for improvement of the workflow in the field of maintenance, for instance for planes in the aviation sector and for trains in the railways sector. Our concept will equip any field technician with a mobile wearable computer allowing communication in real time with its colleagues and with a central server supervising all the field maintenance process and connected with the existing maintenance database used more traditionally.
The MAIS project (2004 - 2007)
The objective of MAIS is to develop a low-cost, low-consumption, secure smart card that will be readable from a distance.
The main applications of the project will be freight train tractability and inclusion in windshields. For this last application, the project partners work in close collaboration with Glaverbel.