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Flexible vision-based navigation system for unmanned aerial vehicles

机译:灵活的基于视觉的无人机导航系统

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Abstract: A critical component of unmanned aerial vehicles in the navigation system which provides position and velocity feedback for autonomous control. The Georgia Tech Aerial Robotics navigational system (NavSys) consists of four DVTStinger70C Integrated Vision Units (IVUs) with CCD-based panning platforms, software, and a fiducial onboard the vehicle. The IVUs independently scan for the retro-reflective bar-code fiducial while the NavSys image processing software performs a gradient threshold followed by a image search localization of three vertical bar-code lines. Using the (x,y) image coordinate and CCD angle, the NavSys triangulates the fiducial's (x,y) position, differentiates for velocity, and relays the information to the helicopter controller, which independently determines the z direction with an onboard altimeter. System flexibility is demonstrated by recognition of different fiducial shapes, night and day time operation, and is being extended to on-board and off-board navigation of aerial and ground vehicles. The navigation design provides a real-time, inexpensive, and effective system for determining the (x,y) position of the aerial vehicle with updates generated every 51 ms (19.6 Hz) at an accuracy of approximately $POM@2.8 in.!4
机译:摘要:无人机是导航系统中的关键组件,可为自主控制提供位置和速度反馈。佐治亚理工学院的空中机器人导航系统(NavSys)由四个DVTStinger70C集成视觉单元(IVU)组成,这些视觉单元带有基于CCD的摇摄平台,软件和一个车载基准。 IVU独立扫描后向反射条形码基准,而NavSys图像处理软件执行梯度阈值,然后对三个垂直条形码线进行图像搜索定位。导航系统使用(x,y)图像坐标和CCD角度,对基准点(x,y)位置进行三角测量,区分速度,然后将信息传递给直升飞机控制器,后者通过机上测高计独立确定z方向。系统的灵活性通过识别不同的基准形状,夜间和白天运行来证明,并已扩展到空中和地面车辆的机载和机外导航。导航设计提供了一种实时,廉价且有效的系统,用于确定飞行器的(x,y)位置,每51毫秒(19.6 Hz)产生一次更新,精度约为$POM@2.8 in。!4

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