Members
Overall Objectives
Research Program
Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
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Section: Partnerships and Cooperations

International Initiatives

Inria International Partners

Declared Inria International Partners

The Prima team participates in the project “Visually impaired people assistance using multimodal technologies”. The project leader is the Mica laboratory of Hanoi University of Science and Technology (HUST), the project is financed for three years, starting in july 2012, by the Flemish Interuniversity Council (VLIR UOS http://www.vliruos.be/en ). The other partners are Danang University, Ghent University, and Imep-Lahc (Grenoble Inp). The overall objective of the project is to provide visually impaired children (in the Nguyen Dinh Chieu School in Hanoi) with helpful devices. The contact person in the Prima team is Augustin Lux. Prima contributed to the design and testing of a system for Visual Object Recognition.

Since the PERSPOS project (BQR Grenoble INP 2008-2009), the MICA center (UMI 2954 CNRS) and PRIMA has a long time collaboration on the concept of "large-scale" perceptive space. This space is an intelligent environment which will be deployed on a large surface containing several buildings (as a university campus for example). The user is wearing one or many mobile intelligent wireless devices (smartphone or wearable computer). By combining the concepts of large-scale perceptive environments and mobile computing, we can create intelligent spaces to propose services adapted to individuals and their activities, manage energy of building, etc. Our collaboration is focusing on user identification and localization within such a smart space. Tracking people in smart environments remains a challenging fundamental problem when tackling multiple users localization. Whether it is at the scale of a campus, of a building or more simply of a room, we can dynamically combine several localization levels (and several technologies) to allow a more accurate and reliable users localization system. In September 2013, a new co-supervised Ph.D. Thesis started on multiple users localization in large-scale perceptive spaces.