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

Wang, Xiaochun; Wang, Xiali; Wilkes, Don Mitchell

Softcover

ISBN 10: 9811392188 ISBN 13: 9789811392184

Publisher: Springer, 2019

Synopsis

Part I Introduction

1 Overview and Contributions

2 Developments in Mobile Robot Localization Research

3 A Computer Vision System for Visual Perception in Unknown Environments

Part II Unsupervised Learning

4 Theory: Clustering

5 Algorithm I: A Fast Approximate EMST Algorithm for High-Dimensional Image Data

6 Algorithm II: An Efficient K-medoids Clustering Algorithm for Large Scale Image Data

7 Algorithm III: Enhancing Complete Linkage Clustering via Boundary Point Detection

8 Algorithm IV: A New Fast k-Nearest Neighbor-Based Clustering Algorithm

Part III Supervised Learning and Semi-Supervised Learning

9 Theory: K-nearest Neighbor Classifiers

10 Application I: A Fast Image Retrieval Method Based on Quantization Tree

11 Application II: A Fast Incremental Spectral Clustering Algorithm for Image Segmentation

Part IV Reinforcement Learning

12 Theory: Human-Like Localization Inspired by a Hippocampal Memory Mechanism

13 Application I: A Developmental Robotic Paradigm Using Working Memory Learning Mechanism

14 Application II: An Autonomous Vision System Based Sensor-Motor Coordination for Open Space Detection

15 Application III: Visual Percepts Learning for Mobile Robot Localization in An Indoor Environment

16 Application IV: An Automatic Natural Scene Recognition Method for Mobile Robot Localization in An Outdoor Environment

Edition details

• Publisher: Springer
• Publication date: 2019
• Language: English
• ISBN 10: 9811392188
• ISBN 13: 9789811392184
• Binding: Paperback
• Number of pages: 352