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A Purpose-Built Robot for Aerial Surveillance

机译:用于空中监测的专用机器人

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An autonomous aerial robot is being developed at the University of British Columbia (UBC) for entry into the Millennial Event of the International Aerial Robotics Competition. The purpose of this competition is to survey a natural disaster scene and identify human casualties and hazards to a manned rescue effort. This paper documents the third generation robot which builds upon knowledge gained from the first two attempts to produce a practical, working vehicle. The approach taken by this aerial robotics group was to develop an easily controllable vehicle to facilitate the control software, rather than developing complex control software for an existing vehicle. The UBC robot consists of seven propellers: one main propeller centered around six small control propellers. The vehicle is capable of vertical takeoff and landing, hover, and translation or rotation in any direction. The embedded system was designed to control the craft in task space before the control action is mapped onto the seven actuators. The controller keeps the craft flat and level in all movement modes using the horizontal thruster to translate and rotate in the horizontal plane and the vertical propellers for height and stability control. To accomplish the task of recognizing and locating human casualties and hazards, an image recognition system will analyze pictures obtained from a high resolution camera system attached to this platform. Although the vehicle will be programmed to perform a search pattern given a fixed boundary, the waypoints can be modified in real-time by the navigation program to concentrate on areas of interest.
机译:在不列颠哥伦比亚省大学(UBC)中正在开发一个自主空中机器人,进入国际空中机器人竞赛的千禧年活动。本次竞争的目的是调查自然灾害场景,并识别人类伤亡和危害令人诉讼​​的救援工作。本文介绍了第三代机器人,这些机器人在从前两次尝试中获得了生产实用,工作车辆的知识。该航空机器人组采取的方法是开发一种易于控制的车辆,以便于控制软件,而不是开发用于现有车辆的复杂控制软件。 UBC机器人由七个螺旋桨组成:一个主螺旋桨围绕六个小型控制螺旋桨。该车辆能够垂直起飞和降落,悬停和在任何方向上旋转。嵌入式系统旨在在控制操作映射到七个执行器上之前控制工作空间中的工艺。控制器使用水平推进器将机械平坦和电平保持在所有移动模式中,以在水平平面和垂直螺旋桨中转换和旋转,用于高度和稳定性控制。为了完成认识和定位人类伤亡和危险的任务,图像识别系统将分析从附加到该平台的高分辨率相机系统获得的图像。虽然车辆将被编程以执行给定固定边界的搜索模式,但是可以通过导航程序实时修改航路点以集中于感兴趣的区域。

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