A Large Capacity Expansion and Robust Recognition Method of Dot-Dispersing Coded Targets with Binary Step-Response Serial Encoding

作     者：Song, Limei Zheng, Tenglong Li, Yunpeng Deng, Sanpeng Yang, Yangang Zhu, Xinjun 

作者机构：Tianjin Key Laboratory of Intelligent Control of Electrical Equipment Tiangong University Tianjin300387 China School of Control Science and Engineering Tiangong University Tianjin300387 China School of Mechanical Engineering Tiangong University Tianjin300387 China School of Artificial Intelligence Tiangong University Tianjin300387 China School of Mechanical Engineering Tianjin University of Technology and Education Tianjin300222 China Institute of Robotics and Intelligent Equipment Tianjin University of Technology and Education Tianjin300222 China Tianjin Key Laboratory of Intelligent Robot Technology and Application Tianjin300350 China Tianjin Bonus Robotics Technology Co. Ltd Tianjin300350 China 

出 版 物：《SSRN》 

年 卷 期：2023年

核心收录：

主　　题：Signal encoding 

摘      要：In close-range photogrammetry, it is difficult to meet the measurement requirements of large scenes in actual engineering due to the limited capacity of coded targets. To expand the capacity of the coded target, we propose a binary step-response serial-coded target (BSSCT). The BSSCT introduces periodic binary wave information as an additional feature in the dot-dispersing coded target. Also, a robust recognition algorithm for the BSSCT is developed, the P2-Invariant, and the step period is used for decoding. The capacity of the coded target reaches 7 magnitudes without increasing the auxiliary points. Under different lighting conditions and viewing angles, the measurement experiments show that the BSSCT outperforms other state-of-the-art coded targets. Our BSSCT is a promising standard method for large field system calibration and object measurement. © 2023, The Authors. All rights reserved.