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© 2013

Vision Based Autonomous Robot Navigation

Algorithms and Implementations

Benefits

  • Presents theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism

  • Comprehensive concepts of cutting-edge map-based, map-building-based and mapless robot navigation algorithms employing vision sensors

  • Includes several real-life implementations of new vision based robot navigation algorithms and their successful applications

Book

Part of the Studies in Computational Intelligence book series (SCI, volume 455)

Table of contents

  1. Front Matter
    Pages 1-8
  2. Amitava Chatterjee, Anjan Rakshit, N. Nirmal Singh
    Pages 1-20
  3. Amitava Chatterjee, Anjan Rakshit, N. Nirmal Singh
    Pages 21-46
  4. Amitava Chatterjee, Anjan Rakshit, N. Nirmal Singh
    Pages 47-82
  5. Amitava Chatterjee, Anjan Rakshit, N. Nirmal Singh
    Pages 83-100
  6. Amitava Chatterjee, Anjan Rakshit, N. Nirmal Singh
    Pages 101-142
  7. Amitava Chatterjee, Anjan Rakshit, N. Nirmal Singh
    Pages 143-166
  8. Amitava Chatterjee, Anjan Rakshit, N. Nirmal Singh
    Pages 167-206
  9. Amitava Chatterjee, Anjan Rakshit, N. Nirmal Singh
    Pages 207-222
  10. Back Matter
    Pages 0--1

About this book

Introduction

This book is devoted to the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. The conventional robot navigation systems, utilizing traditional sensors like ultrasonic, IR, GPS, laser sensors etc., suffer several drawbacks related to either the physical limitations of the sensor or incur high cost. Vision sensing has emerged as a popular alternative where cameras can be used to reduce the overall cost, maintaining high degree of intelligence, flexibility and robustness.

This book includes a detailed description of several new approaches for real life vision based autonomous navigation algorithms and SLAM. It presents the concept of how subgoal based goal-driven navigation can be carried out using vision sensing. The development concept of vision based robots for path/line tracking using fuzzy logic is presented, as well as how a low-cost robot can be indigenously developed in the laboratory with microcontroller based sensor systems. The book describes successful implementation of integration of low-cost, external peripherals, with off-the-shelf procured robots. An important highlight of the book is that it presents a detailed, step-by-step sample demonstration of how vision-based navigation modules can be actually implemented in real life, under 32-bit Windows environment. The book also discusses the concept of implementing vision based SLAM employing a two camera based system.

 

Keywords

Autonomous Robot Navigation Computational Intelligence Computer Vision

Authors and affiliations

  1. 1., Electrical Engineering DepartmentJadavpur UniversityKolkataIndia
  2. 2., Electrical Engineering DepartmentJadavpur UniversityKolkataIndia
  3. 3., Electronics and CommunicationV V College of EngineeringTisaiyanvilai, TuticorinIndia

Bibliographic information

  • Book Title Vision Based Autonomous Robot Navigation
  • Book Subtitle Algorithms and Implementations
  • Authors Amitava Chatterjee
    Anjan Rakshit
    N. Nirmal Singh
  • Series Title Studies in Computational Intelligence
  • DOI https://doi.org/10.1007/978-3-642-33965-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-642-33964-6
  • Softcover ISBN 978-3-642-42670-4
  • eBook ISBN 978-3-642-33965-3
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages X, 226
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
    Robotics and Automation
  • Buy this book on publisher's site
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