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相关概念视频

Elevation of Intermediate Points on Vertical Curves01:20

Elevation of Intermediate Points on Vertical Curves

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Vertical curves are essential in roadway design because they provide smooth transitions between varying roadway grades. Designing vertical curves involves calculating intermediate elevations and identifying the curve's highest or lowest point, which is essential for optimal roadway performance.Intermediate elevations on a vertical curve are determined using the tangent offset method. This method considers the initial elevation at the start of the curve, the grades, and the curve's geometry. The...
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Orthogonal Trajectories01:26

Orthogonal Trajectories

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Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
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Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

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Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
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Spherical Coordinates01:23

Spherical Coordinates

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Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...
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Non-uniform Circular Motion01:22

Non-uniform Circular Motion

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In uniform circular motion, the particle executing circular motion has a constant speed, and the circle is at a fixed radius. However, not all circular motion occurs at a constant speed. A particle can travel in a circle and speed up or slow down, showing an acceleration in the direction of motion. In that case, the motion is called non-uniform circular motion, and an additional acceleration is introduced, which is in the direction tangential to the circle. 
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Arc Length of a Curve: Problem Solving01:21

Arc Length of a Curve: Problem Solving

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A high-voltage power line spans a 40-meter horizontal distance between two transmission towers, resulting in a 10-meter vertical sag due to the effects of gravity and thermal expansion. The curve formed by the suspended cable is a catenary, which accurately models the behavior of a uniform, flexible cable under its own weight. Unlike a parabolic shape, the catenary is described by the hyperbolic cosine function and offers a precise representation of the cable's form.In this setup, engineers...
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相关实验视频

Updated: Feb 27, 2026

Operation of the Collaborative Composite Manufacturing CCM System
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基于球形贝齐尔曲线的3D无人机平滑路径规划利用高效改进的指数三角形优化.

Yitao Cao1, Kang Chen1, Gang Hu2

  • 1Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an 710072, China.

Biomimetics (Basel, Switzerland)
|February 26, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种改进的优化算法 (IETO),用于无人机 (UAV) 路径规划. 新方法在复杂的3D环境中产生更安全,更短,更顺的飞行路径.

关键词:
阿尔法进化战略的发展战略指数三角学优化指数-三角学优化噪音和物理攻击战略.基于对立的交叉教学战略.路径规划路径规划路径规划球形贝齐尔曲线是一个球形贝齐尔曲线.无人驾驶飞行器是一种无人驾驶飞行器.

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 航空航天工程 航空航天工程

背景情况:

  • 路线规划对于无人驾驶飞行器 (UAV) 的效率至关重要,但在复杂的环境中面临局限性.
  • 传统的算法难以应对非线性,多模式和多约束路径规划的挑战.

研究的目的:

  • 开发一个改进的优化算法,用于无人机的3D平滑路径规划.
  • 提高道路安全,效率和适应动态威胁的能力.

主要方法:

  • 一个固定弧度重新采样策略和球形投影用于路径光滑.
  • 一个改进的指数三角形优化 (IETO) 算法,结合了新的策略.
  • 一个总成本函数,考虑路径评估的四种成本类型.

主要成果:

  • 通过多样性,废除和基准分析,IETO在各种优化问题上表现出有效性.
  • 模拟实验表明,IETO始终产生更短,更流,更安全的无人机路径.
  • 拟议的方法很好地适应3D海拔地图中的不同地形特征.

结论:

  • 改进的指数三角度优化 (IETO) 算法为无人机路径规划提供了强大的解决方案.
  • 该方法在复杂,动态的环境中提高了飞行路径的安全性和效率.
  • 与传统方法相比,IETO提供了稳定和优越的路线规划性能.