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Recurrent Convolutional Neural Networks for LiDAR-Based Attitude Initialization of Rotating Spacecraft
Accurate attitude estimation is essential for autonomous in-orbit servicing and proximity operations. This work proposes a Recurrent Convolutional Neural Network (RCNN) used in coarse attitude initialization of known, possibly tumbling spacecraft using LiDAR-derived depth images. By processing tempo
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