Vision Based Autonomous Robot Navigation

Chatterjee, Amitava; Rakshit, Anjan; Singh, N. Nirmal

ISBN 10: 3642426700 / ISBN 13: 9783642426704

Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2014

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. Series: Studies in Computational Intelligence. Num Pages: 236 pages, biography. BIC Classification: TJFM1; UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 13. Weight in Grams: 367. . 2012. Paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9783642426704

Synopsis:

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.

From the Back Cover:

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.

Bibliographic Details

Title: Vision Based Autonomous Robot Navigation
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Publication Date: 2014
Binding: Soft cover
Condition: New