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Recent Advancements in System Modelling Applications pp 43–52Cite as

Obstacle Detection Techniques for Vision Based Autonomous Navigation Systems

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 188))

Abstract

The aim behind this paper is to develop, design and implement a autonomous vehicle on real time environment with suitable performance measures. For this purpose, an algorithm using image processing is modeled. The vehicle considered for study is a differentially steered toy car fixed with a web cam. The image data are transferred to the central computer through cables. The vehicle uses image acquisition tools and image processing tools to handle the images and find the obstacle. Two algorithms are being developed based on the above idea along with evaluation of appropriate performance measures.

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References

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Author information

Authors and Affiliations

  1. Department of Instrumentation and Control Engineering, Sri Sairam Engineering College, Chennai, 600 044, Tamilnadu, India

    R. Karthikeyan & K. Renganathan

  2. Sathyabama University, Chennai, 600 119, Tamilnadu, India

    B. Sheela Rani

Authors
  1. R. Karthikeyan
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  2. B. Sheela Rani
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  3. K. Renganathan
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Corresponding author

Correspondence to R. Karthikeyan .

Editor information

Editors and Affiliations

  1. , Department of E & I Engineering, Annamalai University, Faculty of Engineering and Technology, Annamalai Nagar, 608002, Tamil Nadu, India

    R Malathi

  2. , Department of E & I Engineering, Annamalai University, Faculty of Engineering and Technology, Annamalai Nagar, 608002, Tamil Nadu, India

    J Krishnan

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© 2013 Springer India

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Cite this paper

Karthikeyan, R., Sheela Rani, B., Renganathan, K. (2013). Obstacle Detection Techniques for Vision Based Autonomous Navigation Systems. In: Malathi, R., Krishnan, J. (eds) Recent Advancements in System Modelling Applications. Lecture Notes in Electrical Engineering, vol 188. Springer, India. https://doi.org/10.1007/978-81-322-1035-1_5

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  • DOI: https://doi.org/10.1007/978-81-322-1035-1_5

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-1034-4

  • Online ISBN: 978-81-322-1035-1

  • eBook Packages: EngineeringEngineering (R0)

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