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Draper Laboratory small autonomous aerial vehicle

机译:德国实验室小型自动空中车

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The Charles Stark Draper Laboratory, Inc. and students from Massachusetts Institute of Technology and Boston University have cooperated to develop an autonomous aerial vehicle that won the 1996 International Aerial Robotics Competition. This paper describes the approach, system architecture and subsystem designs for the entry. This entry represents a combination of many technology areas: navigation, guidance, control, vision processing, human factors, packaging, power, real-time software, and others. The aerial vehicle, an autonomous helicopter, performs navigation and control functions using multiple sensors: differential GPS, inertial measurement unit, sonar altimeter, and a flux compass. The aerial transmits video imagery to the ground. A ground based vision processor converts the image data into target position and classification estimates. The system was designed, built, and flown in less than one year and has provided many lessons about autonomous vehicle systems, several of which are discussed. In an appendix, our current research in augmenting the navigation system with vision- based estimates is presented.
机译:Charles Stark Draper实验室,Inc。和Massachusetts理工学院和波士顿大学的学生合作开发一个自动的空中车,赢得了1996年的国际空中机器人竞赛。本文介绍了条目的方法,系统架构和子系统设计。此条目代表了许多技术领域的组合:导航,指导,控制,视觉处理,人为因素,包装,电源,实时软件等。空中车辆,自主直升机,使用多个传感器执行导航和控制功能:差分GPS,惯性测量单元,声纳高度计和磁带罗盘。空中将视频图像传输到地面。基于地面的视觉处理器将图像数据转换为目标位置和分类估计。该系统在不到一年内设计,构建和飞行,并提供了许多关于自主车辆系统的课程,其中一些讨论。在附录中,提出了在增强具有基于视觉估计的导航系统的目前的研究。

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