@inproceedings{db078c81044340728e7cea2807fb1f5a,
title = "A Calibration-Free Visual System for Device Pose Estimation",
abstract = "This paper focuses on device pose estimation in automation processes and an innovative calibration-free visual system is proposed. We introduce a novel solution employing three orthogonal cameras to form an efficient relocalization system. Through the analysis of scene images captured by these cameras, we determine the position of cameras and their orientation in three-dimensional space. By processing the scene images captured by cameras, we extract crucial position and pose information of cameras in the spatial domain. Our method boasts notable advantages in terms of efficiency and speed.",
keywords = "Automation control, Calibration-free system, Homography transformation, Pose estimation",
author = "Yang Zhang and Minghao Chen and Yuan Xu and Yanlin He and Mingqing Zhang and Qunxiong Zhu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 36th Chinese Control and Decision Conference, CCDC 2024 ; Conference date: 25-05-2024 Through 27-05-2024",
year = "2024",
doi = "10.1109/CCDC62350.2024.10587888",
language = "English",
series = "Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4658--4662",
booktitle = "Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024",
address = "United States",
}