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Piotr Borkowski

References 1. Bar-Shalom Y., Willett P., Tian X.: Tracking and data fusion. YBS Publishing, Storrs 2011 2. Borkowski P.: Algorithm of multi-sensor navigational data fusion - testing of estimation quality. Polish Journal of Environmental Studies, Vol. 17, No. 3B, 2008 (43-47) 3. Borkowski P., Pietrzykowski Z., Magaj J. Mąka M.: Fusion of data from GPS receivers based on a multi-sensor Kalman filter. Transport Problems, Vol. 3, No. 4, 2008 (5-11) 4. Borkowski P., Stateczny A.: An

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Anam Haq, Szymon Wilk and Alberto Abelló

, Hershey, PA, pp. 805–829. Castanedo, F. (2013). A review of data fusion techniques, The Scientific World Journal 2013 : 704504, DOI: 10.1155/2013/704504. Cha, Y.-H., Ha, Y.-C., Yoo, J.-I., Min, Y.-S., Lee, Y.-K. and Koo, K.-H. (2017). Effect of causes of surgical delay on early and late mortality in patients with proximal hip fracture, Archives of Orthopaedic and Trauma Surgery 137 (5): 625–630. de Bruijne, M. (2016). Machine learning approaches in medical image analysis: From detection to diagnosis, Medical Image Analysis 33 : 94–97, DOI: 10

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Tamás Tettamanti, Márton Tamás Horváth and István Varga

References 1. Anand, A., Ramadurai, G. and Vanajakshi, L. (2013). Data Fusion Based Traffic Density Estimation and Prediction, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, accepted author version, DOI: 10.1080/15472450.2013.806844 2. Bachmann, C. (2011). Multi-Sensor Data Fusion for Traffic Speed and Travel Time Estimation , MSc Thesis, Toronto 3. Böker, G., Lunze, J. (2002). Stability and performance of switching Kalman filters, International Journal of Control , 75(16/17): 1269-1281 4. Claudel, C. G

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Li-Chun Zhang

6. References Brozzi, A., A. Capotorti, and B. Vantaggi. 2012. “Incoherence Correction Strategies in Statistical Matching.” International Journal of Approximate Reasoning 53: 1124–1136. Doi: http://dx.doi.org/10.1016/j.ijar.2012.06.009 . Conti, P.L., D. Marella, and M. Scanu. 2008. “Evaluation of Matching Noise for Imputation Techniques Based on Nonparametric Local Linear Regression Estimators.” Computational Statistics & Data Analysis 53: 354–365. Doi: http://dx.doi.org/10.1016/j.csda.2008.07.041 . Conti, P.L., M. Di Zio, D. Marella, and

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Krzysztof Kulpa, Mateusz Malanowski, Jacek Misiurewicz and Piotr Samczynski

References A. Gados, A. Gorzelanczyk, K. Kulpa, M. Malanowski, J. Misiurewicz, M. Mordzonek, P. Samczynski, and M. Smolarczyk, "Advanced Capabilities of ARS-800-2 Radar System for Maritime Patrol Aircraft Used by Polish Navy," in Proceedings of Military Radar , Amsterdam, The Netherlands, 28-29 October 2008, CD. P. Samczyński, M. Malanowski, and K. Kulpa, "Fusion of SAR and Optical Images as a Method for Improving Target Recognition on the Earth Surface," in Preceedings of 11th International Radar

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Przemyslaw Baranski, Maciej Polanczyk and Pawel Strumillo

) www.ski.org Farell, J. A. (2008). Aided Navigation. McGraw Hill. New York. Baranski, P., Strumillo, P. (2010). An electronic module implementing dead-reckoning algorithm for improving geographic location accuracy from GPS readouts in urban terrain. VIII-th National Electronics Conference. 07-10 June 2010. (in Polish). The website of Analog Devices. www.analog.com/static/imported-files/data_sheets/ADIS16355.pdf Arulampalam, M. S., Maskell, S., Gordon, N., and

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Milena Stróżyna, Jacek Małyszko, Krzysztof Węcel, Dominik Filipiak and Witold Abramowicz

-oriented sensor data fusion for wide maritime surveillance, Waterside Security Conference (WSS), 2010, pp. 1-6. [7] Giraud M. A., Alhadef B., Guarnieri F., Napoli A., Bottala-Gambetta M., et al., SARGOS: Securing Offshore Infrastructures Through a Global Alert and Graded Response System, Maritime System and Technology, 2011, Marseille, France. [8] Hevner A., March S. T., Park J., Ram S., Design science in information systems research, ‘MIS Quartely’, 2004, Vol. 28, No. 1, pp. 75-105. [9] International Maritime Organization

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Anete Vagale, Agris Ņikitenko, Eduards Slava and Ottar L. Osen

.pdf [10] F. Castanedo, “A Review of Data Fusion Techniques,” The Scientific World Journal , vol. 2013, pp. 1–19, 2013. https://doi.org/10.1155/2013/704504 [11] J. Thomanek, M. Ritter, H. Lietz, and G. Wanielik, “Comparing Visual Data Fusion Techniques Using FIR and Visible Light Sensors to Improve Pedestrian Detection,” 2011 International Conference on Digital Image Computing: Techniques and Applications , pp. 119–125, Dec. 2011. https://doi.org/10.1109/dicta.2011.27 [12] M. Kristou, A. Ohya, and S. Yuta, “Target Person Identification and Following Based

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Fumin Zhang and Xinghua Qu

References Estler, W. T., Edmundson, K. L., Peggs, G. N., Parker, D. H. (2002). Large-scale metrology - an update. CIRP Annals-Manufacturing Technology , 51 (2), 587-608. Luo, R. C., Yih, C.-C., Su, K. L. (2002). Multisensor fusion and integration: Approaches, applications, and future research directions. IEEE Sensors Journal , 2 (2), 107-119. More, K., Ingman, D. (2008). Quality approach for multi-parametric data fusion. NDT&E International , 41 (3), 155

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Piotr Burnos

) Documentation of Fuzzy Logic Toolbox V2.2.11. (2010). Mathworks. Sroka, R. (2008). Data fusion methods in measurements of road traffic parameters. Kraków: Uczelniane Wydawnictwa Naukowo-Dydaktyczne. Burnos, P., Gajda, J., Piwowar, P., Sroka, R., Stencel, M., Żegleń, T. (2007). Accurate Weighing of moving vehicles. Metrol. Meas. Syst. , 14(4), 507-516.