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Conference Towards Autonomous Robotic Systems

TAROS 2012: Advances in Autonomous Robotics pp 426–427Cite as

Combining Evolution and Training in a Robotic Controller for Autonomous Vehicle Navigation

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7429))

Abstract

This work investigates a robotic control system designed to autono-mously navigate a vehicle in urban environments. Our approach is based on the use of two Artificial Neural Networks (ANNs), one is trained for image processing with road recognition and template matching and the second is evolved for navigation control. This paper focuses on experiments and evaluations using a Genetic Algorithm (GA) to evolve the ANN responsible to provide steering and velocity control to the autonomous vehicle.

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References

  1. Shinzato, P.Y., Wolf, D.F.: A road following approach using artificial neural networks combinations. Journal of Intelligent and Robotic Systems 62(3), 527–546 (2010)

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  2. Souza, J.R., Pessin, G., Eboli, G.B., Mendes, C.C.T., Osório, F.S., Wolf, D.F.: Vision and gps-based autonomous vehicle navigation using templates and artificial neural networks. In: The 27th ACM Symposium on Applied Computing, pp. 1008–1013 (2012)

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Author information

Authors and Affiliations

  1. Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), São Carlos, SP, Brazil

    Jefferson Rodrigo de Souza, Gustavo Pessin, Fernando Santos Osório & Denis Fernando Wolf

  2. School of Mathematical and Computer Sciences (MACS), Heriot-Watt University, Edinburgh, UK

    Gustavo Pessin & Patrícia Amâncio Vargas

Authors
  1. Jefferson Rodrigo de Souza
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  2. Gustavo Pessin
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  3. Fernando Santos Osório
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  4. Denis Fernando Wolf
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  5. Patrícia Amâncio Vargas
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Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering and Bristol Robotics Laboratory, University of Bristol, Bristol, UK

    Guido Herrmann

  2. Intelligent Autonomous Systems Lab Faculty of Computing, Engineering & Mathematical Sciences, University of the West of England, BS16 1QY, Bristol, U.K.

    Matthew Studley

  3. University of the West of England, BS34 8QZ, Bristol, UK

    Martin Pearson , Andrew Conn  & Chris Melhuish ,  & 

  4. Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, SW7 2BT, London, UK

    Mark Witkowski

  5. Robot Intelligence Technology Laboratory, Department of EECS, KAIST, Daejeon, Korea

    Jong-Hwan Kim

  6. National University of Singapore, Singapore

    Prahlad Vadakkepat

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

de Souza, J.R., Pessin, G., Osório, F.S., Wolf, D.F., Vargas, P.A. (2012). Combining Evolution and Training in a Robotic Controller for Autonomous Vehicle Navigation. In: Herrmann, G., et al. Advances in Autonomous Robotics. TAROS 2012. Lecture Notes in Computer Science(), vol 7429. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32527-4_43

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  • DOI: https://doi.org/10.1007/978-3-642-32527-4_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32526-7

  • Online ISBN: 978-3-642-32527-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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