| 書目名稱 | Knowledge-Based Vision-Guided Robots |
| 編輯 | Nick Barnes,Zhi-Qiang Liu |
| 視頻video | http://file.papertrans.cn/545/544230/544230.mp4 |
| 概述 | Includes supplementary material: |
| 叢書名稱 | Studies in Fuzziness and Soft Computing |
| 圖書封面 |  |
| 描述 | Many robotics researchers consider high-level vision algorithms (computational) too expensive for use in robot guidance. This book introduces the reader to an alternative approach to perception for autonomous, mobile robots. It explores how to apply methods of high-level computer vision and fuzzy logic to the guidance and control of the mobile robot. The book introduces a knowledge-based approach to vision modeling for robot guidance, where advantage is taken of constraints of the robot‘s physical structure, the tasks it performs, and the environments it works in. This facilitates high-level computer vision algorithms such as object recognition at a speed that is sufficient for real-time navigation. The texts presents algorithms that exploit these constraints at all levels of vision, from image processing to model construction and matching, as well as shape recovery. These algorithms are demonstrated in the navigation of a wheeled mobile robot. |
| 出版日期 | Book 2002 |
| 關(guān)鍵詞 | Embodied Cognition; algorithms; cognition; computer vision; control; fuzzy control; fuzzy logic; image proc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-7908-1780-5 |
| isbn_softcover | 978-3-662-00312-1 |
| isbn_ebook | 978-3-7908-1780-5Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2002 |
|Archiver|手機(jī)版|小黑屋|
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