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A Structured Light System for Relative Navigation Applications

机译:相对导航应用的结构化光系统

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摘要

Technical details associated with a relative navigation system that uses the images formed by structured light beacons placed at known locations on the target vehicle platform are presented. Automated means of generating illumination signatures for the beacons are discussed along with the digital logic associated with camera synchronization and beacon identification processes. Relative pose estimation formulations are presented and it is shown that, by using the image formation model, the translation vector can be expressed in terms of the elements of the orientation matrix relating the frames affixed to the target and the camera. By utilizing the Cayley transform, the relative pose estimation problem is shown to reduce to a set of quadratic equations that are amenable to efficient numerical solution and reasonable uncertainty quantification. An engineering breadboard prototype sensor is developed to demonstrate the workings of the structured light sensor. The performance of the sensor and the relative pose estimation algorithm implementation is benchmarked by comparing the experimental results against standard methods that use well-calibrated targets for pose estimation.
机译:提供了与相对导航系统相关的技术细节,该相对导航系统使用由放置在目标车辆平台上已知位置的结构化信标形成的图像。讨论了为信标生成照明签名的自动方法,以及与照相机同步和信标识别过程相关的数字逻辑。提出了相对姿势估计公式,并且示出了,通过使用图像形成模型,可以根据与固定到目标和摄像机的帧有关的取向矩阵的元素来表达平移矢量。通过利用Cayley变换,相对姿态估计问题可以简化为一组二次方程,这些二次方程适用于有效的数值解和合理的不确定性量化。开发了工程面包板原型传感器,以演示结构化光传感器的工作原理。通过将实验结果与使用经过良好校准的目标进行姿态估计的标准方法进行比较,可以对传感器的性能和相对姿态估计算法的实现进行基准测试。

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