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Is there a state of the art on navigation techniques? 


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Navigation techniques in various fields have seen advancements in recent years. In spinal surgery, three primary types of navigation have emerged: three-dimensional image-based computer-assisted navigation, robot-assisted navigation, and patient-specific drill guides . In the field of visual navigation, a neural network architecture composed of task-agnostic components has achieved state-of-the-art results on both ImageNav and ObjectNav tasks . Vision-based localization systems, such as visual odometry (VO) and visual inertial odometry (VIO), have also been extensively studied, with different approaches categorized based on fusion processes and paradigms . Inertial navigation systems have evolved over time, incorporating various technologies and improving accuracy, size, weight, and cost . These advancements in navigation techniques demonstrate the continuous progress and potential for future improvements in efficiency, accuracy, and reliability.

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The provided paper is about state-of-the-art vision-based localization techniques for autonomous navigation systems. It does not specifically mention a state of the art on navigation techniques.
The paper discusses the state of the art and future trends in inertial sensor technologies for navigation applications.
The paper discusses a state-of-the-art baseline for visual navigation tasks, specifically ImageNav and ObjectNav, achieving high success rates without task-specific modules.
The paper discusses a state-of-the-art baseline for visual navigation tasks, specifically ImageNav and ObjectNav, achieving high success rates without task-specific modules.

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