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相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
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Methods of Obtaining Topography

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Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
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相关实验视频

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Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
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通过多模式特征学习实现自主地形相对导航的概率回归.

Ickbum Kim1, Sandeep Singh2

  • 1Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, 110 8th St, Troy, 12180, NY, USA. kimi7@rpi.edu.

Scientific reports
|December 2, 2024
PubMed
概括

这项研究引入了一种新的深度学习方法,用于航天器着陆导航. 这种新的方法使用图像和深度数据来实现强大的,准确的行星着陆地点定位.

关键词:
级联式架构是一个级联式架构.卷积神经网络 (CNN) 是一种神经网络.图像处理 图像处理机器学习 (ML) 是指机器学习.

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科学领域:

  • 航空航天工程 航空航天工程
  • 计算机科学 计算机科学
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 人类太空飞行扩张需要先进的自主导航.
  • 对于行星着陆而言,现有的深度学习本地化方法具有局限性.
  • 在各种场景中的稳定性对于现实世界的任务成功至关重要.

研究的目的:

  • 开发和评估用于航天器驱动下降导航的新型深度学习框架.
  • 为了提高行星着陆器定位的准确性和稳定性.
  • 为了解决在复杂的太空任务中改善自主导航的需求.

主要方法:

  • 一种用于训练基于卷积神经网络 (CNN) 的深度学习 (DL) 模型在多层级级联络架构中的新配方.
  • 利用DL模型中的分类概率作为位置估计的回归权重.
  • 利用多传感器数据,包括图像强度和深度,用于相对空间飞船定位.
  • 通过各种模拟场景的蒙特卡洛分析进行验证.

主要成果:

  • 提出的DL架构和状态估计框架的证明有效性.
  • 精确确定航天器与特定高度的地形相对的位置.
  • 在多个模拟环境中验证了成功的导航性能.
  • 在现实的太空任务中,多模式特征学习具有显著的前景.

结论:

  • 拟议的深度学习方法为自主航天器着陆导航提供了一个强大的解决方案.
  • 多层级连锁CNN架构有效地利用多传感器数据进行精确的定位.
  • 这一框架显示了提高未来行星任务安全和成功的巨大潜力.