Design of Low Cost PC-based Simulators for Education and Training Purpose Using DDS

Abstract-The use of simulation in training and education enables to prepare personal in realistic environment. But the cost and the complexity to create and reuse simulations often limits their application. In this paper we investigate a low cost and high fidelity PC-based simulator based on Data Distribution Service (DDS) middleware. The main parts of the systems and the architecture, including the hardware and the software are introduced. Real-time networking between distributed simulators is achieved using a reliable distributed communication, which employs publish-subscribe middleware build using OMG-DDS. Result shows these methods could produce low cost, extensible, reliable and distributed simulators

Communication framework for distributed computer vision on stationary and mobile platforms

Recent advances in the complexity and manufacturability of digital video cameras coupled with the ubiquity of high speed computers and communication networks have led to burgeoning research in the fields of computer vision and image understanding. As the generated vision algorithms become increasingly complex, a need arises for robust communication between remote cameras on mobile units and their associated distributed vision algorithms. A communication framework would provide a basis for modularization and abstraction of a collection of computer vision algorithms; the resulting system would allow for straightforward image capture, simplified communication between algorithms, and easy replacement or upgrade of existing component algorithms. The objective of this thesis is to create such a communication framework and demonstrate its viability and applicability by implementing a relatively complex system of distributed computer vision algorithms. These multi-camera algorithms include body tracking, pose estimation and face recognition. Although a plethora of research exists documenting individual algorithms which may utilize multiple networked cameras, this thesis aims to develop a novel way of sharing information between cameras and algorithms in a distributed computation system. In addition, this thesis strives to extend such an approach to using both stationary and mobile cameras. For this application, a mobile computer vision platform was developed that integrates seamlessly with the aforementioned communication framework, extending both its functionality and robustness

a novel qos-enable real-time publish-subscribe service

Complex distributed real-time applications require complicated processing and sharing of an extensive amount of data under critical timing constraints. In this paper, we present a comprehensive overview of the Data Distribution Service standard (DDS) an