Category Archives: Sensor Fusion

Biologically Sound Neural Networks for Embedded Systems Using OpenCL

Presenting our paper I. Fehervari, A. Sobe, W. Elmenreich. Biologically Sound Neural Networks for Embedded Systems Using OpenCL. Proceedings of the International Conference on NETworked sYStems (NETYS 2013), Marrakech, Morocco, Springer 2013. in the format of a short announcement was … Continue reading

Posted in Embedded Software, Sensor Fusion, Uncategorized | Tagged , , , | 1 Comment

Call for Papers: Eleventh Workshop on Intelligent Solutions in Embedded Systems (WISES 2013)

Embedded Systems run our cars and telephones, control production lines and aircraft systems. Meeting the strong requirements regarding the cost, safety, security, size and the power consumption require new and innovative solutions. Providing flexible and configurable systems is nowadays the … Continue reading

Posted in Embedded Software, Hardware, Protocols, Real-Time Networks, Robotics, Sensor Fusion, Simulation, Tools | Tagged , , , | Leave a comment

Reading thousand sensors in the blink of an eye

A cyber-physical system is formed by a network of interacting sensors and actuators. With the availability of small inexpensive sensor elements, such a network may contain thousands of interacting sensors. This makes such systems a little bit similar to biological … Continue reading

Posted in Embedded Software, Protocols, Real-Time Networks, Sensor Fusion | Tagged , , , | 1 Comment

An Orchestra of Bits and Bytes: Time-Triggered Advanced Driver Assistance Systems

Multi-sensor object tracking is an important feature for advanced driver assistance systems in future automobiles. Most state-of-the-art systems cannot guarantee deterministic processing of the sensor values due to unsynchronized sensing and processing units. To overcome this shortcoming we propose a … Continue reading

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A simple sensor fusion algorithm

Let’s assume, you have a set of sensors measuring the same property. By using competitive sensor fusion (see previous post for an explanation) you expect to increase the accuracy and reliablilty of the result. In the paper [1] you can … Continue reading

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The different types of sensor fusion: complementary, competitive, and cooperative

Sensor Fusion is the combining of sensory data or data derived from sensory data such that the resulting information is in some sense better than would be possible when these sources were used individually. (W.¬†Elmenreich. Sensor Fusion in Time-Triggered Systems, … Continue reading

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