no code implementations • 19 Dec 2023 • Xu Fang, Xiaolei Li, Lihua Xie
This paper investigates the localization problem of a network in 2-D and 3-D spaces given the positions of anchor nodes in a global frame and inter-node relative measurements in local coordinate frames.
no code implementations • 19 Dec 2023 • Xu Fang, Lihua Xie
Compared with existing relative-measurement-based formation maneuver control, the advantages of the proposed method are that it is output (relative output) feedback based and shows how to realize different types of formation shape.
no code implementations • 18 Dec 2023 • Xu Fang, Xiaolei Li, Lihua Xie
Each node holds a local coordinate frame without a common orientation and can only measure one type of information (relative position, distance, relative bearing, angle, or ratio-of-distance measurements) about its neighboring nodes in its local coordinate frame.
no code implementations • 18 Dec 2023 • Xu Fang, Lihua Xie, Xiaolei Li
Different from most existing distributed localization approaches in static networks where the agents in a network are static, this paper addresses the distributed localization problem in dynamic networks where the positions of the agents are time-varying.
no code implementations • 12 Dec 2023 • Xiaojie Fang, Xingguo Song, Xiangyin Meng, Xu Fang, Sheng Jin
The low-level spatial detail information and high-level semantic abstract information are both essential to the semantic segmentation task.
no code implementations • 7 Dec 2023 • Xu Fang, Lihua Xie
The third advantage is that more formation shapes can be realized by only tuning the positions of the leaders.
no code implementations • 28 Oct 2023 • Xu Fang, Lihua Xie, Xiaolei Li
This paper studies the problem of integrated distributed network localization and formation maneuver control.
no code implementations • 4 Jan 2023 • Zhilin Zheng, Xu Fang, Jiawen Yao, Mengmeng Zhu, Le Lu, Lingyun Huang, Jing Xiao, Yu Shi, Hong Lu, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian
Lymph node (LN) metastasis status is one of the most critical prognostic and cancer staging factors for patients with resectable pancreatic ductal adenocarcinoma (PDAC), or in general, for any types of solid malignant tumors.
1 code implementation • IEEE Transactions on Cybernetics 2020 • Xu Fang, Chen Wang, Lihua Xie, Jie Chen
When the faster evader is allowed to move freely without any constraint, the main issues are how to form an encirclement to trap the evader into the capture domain, how to balance between forming an encirclement and approaching the faster evader, and what conditions make the capture possible.
Systems and Control Systems and Control
1 code implementation • 18 Nov 2018 • Xu Fang, Chen Wang, Thien-Minh Nguyen, Lihua Xie
In addition, different from the traditional filter-based localization methods which need kinetic model for localization, our proposed method is model-free and converts the localization problem to graph optimization problem.
1 code implementation • 28 Feb 2018 • Xu Fang, Chen Wang, Thien-Minh Nguyen, Lihua Xie
In this paper, we propose a general graph optimization based framework for localization, which can accommodate different types of measurements with varying measurement time intervals.
Robotics