| 書目名稱 | Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environ |
| 編輯 | Xiaochun Wang,Xiali Wang,Don Mitchell Wilkes |
| 視頻video | http://file.papertrans.cn/621/620746/620746.mp4 |
| 概述 | Focuses on building bridges between natural and artificial computation.Presents an object identification model and two different strategies for online learning.Evaluates using a realistic scenario and |
| 圖書封面 |  |
| 描述 | This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research. |
| 出版日期 | Book 2020 |
| 關(guān)鍵詞 | Autonomous Mobile Robot Localization; Computer Vision and Machine Perception; Hippocampal Configural R |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-13-9217-7 |
| isbn_softcover | 978-981-13-9219-1 |
| isbn_ebook | 978-981-13-9217-7 |
| copyright | Xi‘a(chǎn)n Jiaotong University Press 2020 |
|Archiver|手機版|小黑屋|
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