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A Qualitative System as a Frame to Control Unmanned Vehicles

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Computer Aided Systems Theory — EUROCAST 2001 (EUROCAST 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2178))

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Abstract

It is known that the techniques bracketed under the topic of Soft Computing have a strong capability of learning and cognition joint to a good tolerance with uncertainty and imprecision. Due to these properties they can be applied successfully in Intelligent Vehicles Systems. In particular Fuzzy Logic is very adequate to build qualitative or linguistic models of many kinds of systems. The aim of this paper is to integrate in a qualitative model the vehicle operation and the driver behavior in such a way that an unmanned guiding system can be developed around it [2] [6].

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References

  1. Mark Bursa.: Big names invest heavily in advanced ITS technology. ISATA Magazine. (2000) December/January. 24–30.

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  3. Sunan Huang, Wei Ren.: Use of Neural Fuzzy Networks with Mixed Genetic Gradient Algorithm in Automated Vehicle Control. IEEE Transactions on Industrial Electronics. Vol 46, n. 6. (1999) 1090–1102.

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  4. Ricardo García Rosa, Teresa de Pedro.: Automatic Car Drivers. ISATA Conference (1998) 317–323.

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  5. Bastian A., Andreas P., Holze R., Sochacki c., Sánchez F., Sala M., Freixá A.: Challenges and Requirements for the Second Generation Adaptive Cruise Control Systems. VOLKSWAGEN AG and SEAT SA 1–8

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  6. Jesse Crosse.: Tomorrow’s world. Automotive World. Jan/Feb (2001) 46–49.

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© 2001 Springer-Verlag Berlin Heidelberg

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García Rosa, R., de Pedro, T. (2001). A Qualitative System as a Frame to Control Unmanned Vehicles. In: Moreno-Díaz, R., Buchberger, B., Luis Freire, J. (eds) Computer Aided Systems Theory — EUROCAST 2001. EUROCAST 2001. Lecture Notes in Computer Science, vol 2178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45654-6_35

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  • DOI: https://doi.org/10.1007/3-540-45654-6_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42959-3

  • Online ISBN: 978-3-540-45654-4

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