Coordinating European Future Internet Research

navigation

SAMURAI

Posted by www.cefims.eu on August 6, 2014   |   Comments Off

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SUMMARY

For safety-critical applications based on global satellite navigation systems (GNSS) a highly accurate and highly reliable time-delay estimation of the received signal needs to be ensured. Therefore, it is extremely important to develop and explore powerful innovative methods for highly accurate synchronisation of navigation receivers, even under difficult reception conditions. The use of array antennas together with appropriate signal processing methods, such as adaptive digital beamforming or high resolution parameter estimation methods (maximum likelihood parameter estimation) has been proven to be one of the key technologies for an effective and highly reliable suppression of multipath and radio interference.

Based on previous work in the project IMPOSANT, the SAMURAI (Sensor Array Processing for Multipath and Radio Interference Identification and Suppression ) project team will carry out further investigations and developments in this area. The work is concentrated in three main activities: development of signal processing, development of implementation concepts and testing under realistic conditions.

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SOLUTIONS

  • Developing robust high-resolution estimation methods and parameter tracking algorithms
  • Investigating robust and efficient model order estimation method (number of dominant signals)
  • Assessing and considering signal quantization on the performance of the space-time signal processing
  • Studying optimal noise matching under presence of antenna coupling and the effects on the above signal processing methods
  • Preparing cost models for early estimation of power losses and area of ​​the base band processing
  • Developing, implementing and simulating application specific processors for very low power consumption and space requirements
  • Analysing the performance requirements of novel high resolution estimation methods
  • Defining reference scenarios
  • Testing high resolution estimation methods
  • Testing selected algorithms for beamforming with the DLR IKN developed multi-antenna hardware demonstration platform (GALANT)
  • Using the Galileo Test Environment (GATE) for further testing underrealistic conditions and implementation of long-term tests

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LINK:http://itu.dk/en/Forskning/Forskningsprojekter/SmartOSN

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Conceptional Development of an image recognition engine for outdoor 3D objects on smartphones

Posted by www.cefims.eu on June 10, 2014   |   Comments Off

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SUMMARY


The goal of this project is to create a technology platform which can be used to track and to recognize three-dimensional structures in open space with the use of devices such smartphones or tablets. The platform will use existing smartphone sensor and photographic technology to combine visual cues and sensor data.

The platform will be designed specially to work with the facades of public buildings throughout the whole year. Issues such as varying lighting, occlusions and different viewing angles have to be considered in order to establish robust, time-independent cues. The technology output is expected to be of sufficient accuracy to allow large scale tracking should and 3D real-time video augmentation.

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SOLUTIONS

  • Creating a technology platform which, using existing smartphone sensor and photographic technology to combine visual cues and sensor data , can be used to track and to recognize three-dimensional structures in open space with the use of devices such smartphones or tablets.
  • Accounting for time-variant factors in the development of the navigation technology

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LINK: https://tiss.tuwien.ac.at/research/project.xhtml?projectId=358043

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Mobile Hybrid Tracking in Large and Changing Interior Spaces

Posted by www.cefims.eu on June 10, 2014   |   Comments Off

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SUMMARY

The goal of this project is to develop a hybrid indoor tracking system for mobile devices such as smartphones and tablets. The system will be specifically designed for complex interior spaces – like airports, hospitals and shopping malls – whose appearance and layout may change due to seasonal variation, new constructions, refurbishments, renovations etc. Taking advantage of the existing sensory photographic technology already built into smart phones, the project will develop a robust indoor navigation system which can interactively guide the user within an unknown terrain, thereby solving complex tasks more efficiently.

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SOLUTIONS

  • Developing a robust indoor navigation system which can interactively guide the user within complex interior spaces such as airports, hospitals and shopping malls, thereby solving complex tasks more efficiently.
  • Combining multiple optical tracking technologies by taking advantage of the available sensors already built into standard smartphones, like the inertial sensor and high resolution RGB camera.

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LINK: https://www.ims.tuwien.ac.at/projects/hymotrack

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