根据图像处理应用专业性的特点,设计了一种基于构件组装的专业图像网格编程环境CB-GRID(Compo-nent Based Grid System).CB-GRID与目前的网格编程环境相比具有用户易用性、专业性、编程方便、高效性。CB-GRID的易用性得益于其采用的构...根据图像处理应用专业性的特点,设计了一种基于构件组装的专业图像网格编程环境CB-GRID(Compo-nent Based Grid System).CB-GRID与目前的网格编程环境相比具有用户易用性、专业性、编程方便、高效性。CB-GRID的易用性得益于其采用的构件技术、用户只需要把网格服务构件进行组装即可形成图像网格应用;提出了一种最小传输代价构件调度算法,有效地优化了网格应用程序的运行性能,提高了效率。运行并行案例程序结果表明,CB-GRID提供了一种构建高性能的图像处理平台的新思路。展开更多
In this paper,we consider a multi-UAV surveillance scenario where a team of unmanned aerial vehicles(UAVs)synchronously covers an area for monitoring the ground conditions.In this scenario,we adopt the leader-follower...In this paper,we consider a multi-UAV surveillance scenario where a team of unmanned aerial vehicles(UAVs)synchronously covers an area for monitoring the ground conditions.In this scenario,we adopt the leader-follower control mode and propose a modified Lyapunov guidance vector field(LGVF)approach for improving the precision of surveillance trajectory tracking.Then,in order to adopt to poor communication conditions,we propose a prediction-based synchronization method for keeping the formation consistently.Moreover,in order to adapt the multi-UAV system to dynamic and uncertain environment,this paper proposes a hierarchical dynamic task scheduling architecture.In this architecture,we firstly classify all the algorithms that perform tasks according to their functions,and then modularize the algorithms based on plugin technology.Afterwards,integrating the behavior model and plugin technique,this paper designs a three-layer control flow,which can efficiently achieve dynamic task scheduling.In order to verify the effectiveness of our architecture,we consider a multi-UAV traffic monitoring scenario and design several cases to demonstrate the online adjustment from three levels,respectively.展开更多
文摘根据图像处理应用专业性的特点,设计了一种基于构件组装的专业图像网格编程环境CB-GRID(Compo-nent Based Grid System).CB-GRID与目前的网格编程环境相比具有用户易用性、专业性、编程方便、高效性。CB-GRID的易用性得益于其采用的构件技术、用户只需要把网格服务构件进行组装即可形成图像网格应用;提出了一种最小传输代价构件调度算法,有效地优化了网格应用程序的运行性能,提高了效率。运行并行案例程序结果表明,CB-GRID提供了一种构建高性能的图像处理平台的新思路。
基金Project(2017YFB1301104)supported by the National Key Research and Development Program of ChinaProjects(61906212,61802426)supported by the National Natural Science Foundation of China。
文摘In this paper,we consider a multi-UAV surveillance scenario where a team of unmanned aerial vehicles(UAVs)synchronously covers an area for monitoring the ground conditions.In this scenario,we adopt the leader-follower control mode and propose a modified Lyapunov guidance vector field(LGVF)approach for improving the precision of surveillance trajectory tracking.Then,in order to adopt to poor communication conditions,we propose a prediction-based synchronization method for keeping the formation consistently.Moreover,in order to adapt the multi-UAV system to dynamic and uncertain environment,this paper proposes a hierarchical dynamic task scheduling architecture.In this architecture,we firstly classify all the algorithms that perform tasks according to their functions,and then modularize the algorithms based on plugin technology.Afterwards,integrating the behavior model and plugin technique,this paper designs a three-layer control flow,which can efficiently achieve dynamic task scheduling.In order to verify the effectiveness of our architecture,we consider a multi-UAV traffic monitoring scenario and design several cases to demonstrate the online adjustment from three levels,respectively.
