| 书目名称 | Vision Based Autonomous Robot Navigation | | 副标题 | Algorithms and Imple | | 编辑 | Amitava Chatterjee,Anjan Rakshit,N. Nirmal Singh | | 视频video | http://file.papertrans.cn/984/983596/983596.mp4 | | 概述 | 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 | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | .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 | | 出版日期 | Book 2013 | | 关键词 | Autonomous Robot Navigation; Computational Intelligence; Computer Vision | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-33965-3 | | isbn_softcover | 978-3-642-42670-4 | | isbn_ebook | 978-3-642-33965-3Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer-Verlag Berlin Heidelberg 2013 |
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