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Augmented reality

List institute develops readjustment tools for 3D objects models on video stream for augmented reality applications. These tools exploit a video camera signals in order to localise these objects in real time on a specific scenario. The video signal can be merged with information received from GPS or inertial sensors.

Our researchers rely on their expertise on image treatment, Simultaneous Localization And Mapping (SLAM), data fusion and on their know-how on mobile architecture real-time calculation. They collaborate with industries from smart manufacturing and automotive sectors.

Among our academic partners

Pascal Institute in Clermont-Ferrand (France) – University Clermont II

Assets

  • No prior marking step,
  • High stability on virtual information real-time display, no floating or shaking,
  • Use of standard sensors for wider access to the technology,
  • Innovating vision systems exploitation (glasses and semi-transparent screens).

Major technologies

Augmented reality on 3D objects

Description

The objective is to resolve in a non-linear system the geometric constraints brought by the object 3D model simultaneously with the constraints linked to the scene 3D structure (Simultaneous Localization and Mapping or SLAM). Despite the complexity of forms, diversity of textures, occultation, lighting conditions and changes, large-scale movements, etc, the application remains robust. The application works in real-time on a simple pad (electronic tablet) or with semi-transparent augmented reality (AR) glasses.

Applications

e-learning, assistance to technicians on their work station (maintenance, assembling), sales assistance.

Major projects

  • FUI project Seemake
  • FUI project Siforas

Publications

Augmented reality for indoor and outdoor navigation assistance

Description

The approach here consists in a precise and large scale vehicle localisation based on the combination of data from a camera, from a GPS system and from an odometer merged with data from geo-referenced points extracted from a geographic information system (GIS); we talk here about constrained SLAM. (Simultaneous Localization and Mapping or SLAM). This technology brings back into the driver’s or passenger’s attention and field of vision extremely localised information of context (road signs, historical heritage elements or military applications spots).The technology has also been proved efficient indoor for pedestrian navigation in large premises (malls, train stations etc.)

Applications

Driving assistance, autonomous and connected vehicle, pedestrian navigation…

Projets majeurs

Publications