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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment

  • Xiaochun Wang
  • Xiali Wang
  • Don Mitchell Wilkes
Book

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 3-10
    3. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 11-33
    4. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 35-60
  3. Unsupervised Learning

    1. Front Matter
      Pages 61-61
    2. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 63-84
    3. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 85-108
    4. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 109-128
    5. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 129-151
    6. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 153-176
  4. Supervised Learning and Semi-supervised Learning

    1. Front Matter
      Pages 177-177
    2. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 179-194
    3. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 195-214
    4. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 215-234
    5. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 235-250
  5. Reinforcement Learning

    1. Front Matter
      Pages 251-251
    2. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 253-273
    3. Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes
      Pages 275-292

About this book

Introduction

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.

Keywords

Autonomous Mobile Robot Localization Computer Vision and Machine Perception Hippocampal Configural Represenations Machine Learning Methodologies Prefrontal Cortex Working Memory System Natural Scene Recognition in An Unknown Environment

Authors and affiliations

  • Xiaochun Wang
    • 1
  • Xiali Wang
    • 2
  • Don Mitchell Wilkes
    • 3
  1. 1.School of Software EngineeringXi’an Jiaotong UniversityXi’anChina
  2. 2.School of Information EngineeringChang’an UniversityXi’anChina
  3. 3.Department of Electrical Engineering and Computer ScienceVanderbilt UniversityNashvilleUSA

Bibliographic information