Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
Author | : Xiaochun Wang |
Publisher | : Springer |
Total Pages | : 340 |
Release | : 2019-08-12 |
ISBN-10 | : 9789811392177 |
ISBN-13 | : 981139217X |
Rating | : 4/5 (77 Downloads) |
Download or read book Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment written by Xiaochun Wang and published by Springer. This book was released on 2019-08-12 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.