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MODEL-BASED SPACECRAFT POSE ESTIMATION AND MOTION PREDICTION USING PHOTONIC MIXER DEVICES

机译:利用光混合器设备进行基于模型的空间姿态估计和运动预测

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Photonic Mixer Devices provide an image containing information about object reflectivity and distance, for each single pixel. They operate by emitting modulated infrared light and correlating the reflected light with a reference signal. The measured phase-shift holds the relative distance between the sensor and the object seen in the image. Image features can be seen as densely packed information about local image properties. The design of these features aims to provide a stable basis for recognizing distinguished characteristic points of object surfaces, regardless of lighting conditions and orientation of the object. This paper investigates the feasibility of PMD sensors in the field of spacecraft pose determination and motion detection. Image features- optimized for this particular sensor type- are used for determining the pose of an a priori known object. The features of the known object are stored in memory, while features extracted from the camera image are matched against the stored features. By minimizing the squared distance between matched features, the pose estimate is obtained.
机译:光子混合器设备为每个单个像素提供一个图像,其中包含有关对象反射率和距离的信息。它们通过发射调制的红外光并使反射光与参考信号相关联来工作。测得的相移保持了传感器与图像中看到的物体之间的相对距离。图像特征可以看作是有关本地图像属性的密集信息。这些特征的设计旨在为识别物体表面的显着特征点提供稳定的基础,而与物体的光照条件和方向无关。本文研究了PMD传感器在航天器姿态确定和运动检测领域中的可行性。针对该特定传感器类型优化的图像特征用于确定先验已知物体的姿态。已知对象的特征存储在内存中,而从摄像机图像中提取的特征与存储的特征相匹配。通过最小化匹配特征之间的平方距离,可获得姿势估计。

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