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Vision Based Autonomous Robot Navigation: Algorithms and Implementations by Amit

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eBay item number:297345983787
Last updated on Jul 07, 2025 08:52:09 EDTView all revisionsView all revisions

Item specifics

Condition
Very Good: A book that does not look new and has been read but is in excellent condition. No obvious ...
Book Title
Vision Based Autonomous Robot Navigation
ISBN-13
9783642426704
ISBN
9783642426704

About this product

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3642426700
ISBN-13
9783642426704
eBay Product ID (ePID)
208735657

Product Key Features

Number of Pages
X, 226 Pages
Publication Name
Vision Based Autonomous Robot Navigation : Algorithms and Implementations
Language
English
Publication Year
2014
Subject
Engineering (General), Intelligence (Ai) & Semantics, Electrical, Computer Vision & Pattern Recognition, Robotics
Type
Textbook
Author
N. Nirmal Singh, Anjan Rakshit, Amitava Chatterjee
Subject Area
Computers, Technology & Engineering
Series
Studies in Computational Intelligence Ser.
Format
Trade Paperback

Dimensions

Item Weight
128.2 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
23
Series Volume Number
455
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
629.892637
Table Of Content
Mobile Robot Navigation.- Interfacing External Peripherals with a Mobile Robot.- Vision-Based Mobile Robot Navigation Using Subgoals.- Indigenous Development of Vision-Based Mobile Robots.- Sample Implementations of Vision-Based Mobile Robot Algorithms.- Vision Based Mobile Robot Path/Line Tracking.- Simultaneous Localization and Mapping (SLAM) in Mobile Robots.- Vision Based SLAM in Mobile Robots.
Synopsis
This book covers the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. It details several new approaches for real life vision based autonomous navigation algorithms., This monograph 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., Mobile Robot Navigation.- Interfacing External Peripherals with a Mobile Robot.- Vision-Based Mobile Robot Navigation Using Subgoals.- Indigenous Development of Vision-Based Mobile Robots.- Sample Implementations of Vision-Based Mobile Robot Algorithms.- Vision Based Mobile Robot Path/Line Tracking.- Simultaneous Localization and Mapping (SLAM) in Mobile Robots.- Vision Based SLAM in Mobile Robots.
LC Classification Number
Q342

Item description from the seller

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AMB Books and Electronics

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I've started to sell on Ebay as a way to work through my beloved husband's massive collection of books and electronics. He passed away quite suddenly and unexpectedly this year (2025). He was ...
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