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Found 11 papers, 3 papers with code
Angle-Displacement Rigidity Theory with Application to Distributed Network Localization
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.
Distributed Semi-global Output Feedback Formation Maneuver Control of High-order Multi-agent Systems
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.
3-D Distributed Localization with Mixed Local Relative Measurements
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.
Distributed Localization in Dynamic Networks via Complex Laplacian
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.
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation
The low-level spatial detail information and high-level semantic abstract information are both essential to the semantic segmentation task.
Distributed Formation Maneuver Control Using Complex Laplacian
The third advantage is that more formation shapes can be realized by only tuning the positions of the leaders.
Integrated Relative-Measurement-Based Network Localization and Formation Maneuver Control (Extended Version)
This paper studies the problem of integrated distributed network localization and formation maneuver control.
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging
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.
Cooperative Pursuit with Multi-Pursuer and One Faster Free-moving Evader
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
Model-free Approach for Sensor Network Localization with Noisy Distance Measurement
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.
Graph Optimization Approach to Range-based Localization
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
