Rotation Angle
Rotation angle, a fundamental concept across diverse scientific fields, is currently a focus of research aiming to improve its accurate estimation and utilization in various applications. Current efforts involve developing novel algorithms and model architectures, such as rotation-invariant neural networks and decoupled rotation-translation estimation methods, to address challenges in areas like robotic manipulation, image processing, and 3D object detection. These advancements are significant for improving the robustness and efficiency of systems relying on precise rotational information, impacting fields ranging from autonomous navigation to medical imaging.
Papers
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