Data-Wave-Based Features Extraction and Its Application in Symbol Identifier Recognition and Positioning Suitable for Multi-Robot Systems

Author:

Liu Xilong1,Qian Hanbo2,Cao Zhiqiang1,Zhou Chao1,Yang Yuequan3,Tan Min1

Affiliation:

1. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. The Center of Coordination & Support of SASTIND, Beijing, China

3. College of Information Engineering, Yangzhou University, Yangzhou, China

Abstract

In this paper, feature extraction based on data-wave is proposed. The concept of data-wave is introduced to describe the rising and falling trends of the data over the long-term which are detected based on ripple and wave filters. Supported by data-wave, a novel symbol identifier with significant structure features is designed and these features are extracted by constructing pixel chains. On this basis, the corresponding recognition and positioning approach is presented. The effectiveness of the proposed approach is verified by experiments.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

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