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• Publications:Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents  + (<p>With the introduction of low-cost … <p>With the introduction of low-cost wireless communication many new applications have been made possible; applications where systems can collaboratively learn and get wiser without human supervision. One potential application is automated monitoring for fault isolation in mobile mechatronic systems such as commercial vehicles. The paper proposes an agent design that is based on uploading software agents to a fleet of mechatronic systems. Each agent searches for interesting state representations of a system and reports them to a central server application. The states from the fleet of systems can then be used to form a consensus from which it can be possible to detect deviations and even locating a fault.</p>detect deviations and even locating a fault.</p>)
• Publications:Strategies for Handling the Fuel Additive Problem in Neural Network Based Ion Current Interpretation  + (<p>With the introduction of unleaded … <p>With the introduction of unleaded gasoline, special fuel agents have appeared on the market for lubricating and cleaning the valve seats. These fuel agents often contain alkali metals that have a significant impact on the ion current signal, thus affecting strategies that use the ion current for engine control and diagnosis, e.g., for estimating the location of the pressure peak. This paper introduces a method for making neural network algorithms robust to expected disturbances in the input signal and demonstrates how well this method applies to the case of disturbances to the ion current signal due to fuel additives containing sodium. The performance of the neural estimators is compared to a Gaussian fit algorithm, which they outperform. It is also shown that using a fuel additive significantly improves the estimation of the location of the pressure peak.</p>mation of the location of the pressure peak.</p>)
• Publications:Strategies for handling the fuel additive problem in neural network based ion current interpretation  + (<p>With the introduction of unleaded … <p>With the introduction of unleaded gasoline, special fuel agents have appeared on the market for lubricating and cleaning the valve seats. These fuel agents often contain alkali metals that have a significant impact on the ion current signal, thus affecting strategies that use the ion current for engine control and diagnosis, e.g., for estimating the location of the pressure peak. This paper introduces a method for making neural network algorithms robust to expected disturbances in the input signal and demonstrates how well this method applies to the case of disturbances to the ion current signal due to fuel additives containing sodium. The performance of the neural estimators is compared to a Gaussian fit algorithm, which they outperform. It is also shown that using a fuel additive significantly improves the estimation of the location of the pressure peak. © 2001 Society of Automotive Engineers, Inc.</p>© 2001 Society of Automotive Engineers, Inc.</p>)
• Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow  + (Big\un, Josef, Granlund, G\osta H., Wiklund, Johan)

• Vision with Direction  + (J. Bigun)

• Combining Biometric Evidence for Person Authentication  + (J. Bigun, J. Fierrez-Aguilar, J. Ortega-Garcia, J. Gonzalez-Rodriguez)
• Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks  + (Wickstrom, N., Taveniku, M., Linde, A., Larsson, M., Svensson, B.)
• Offline handwritten Amharic word recognition  + (Y. Assabie, J. Bigun)