Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

222
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...
222
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

406
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.
Here, in order to determine the magnitude of velocity and acceleration for point...
406
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

464
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.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
464
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

447
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
447
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

366
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
366
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

12.4K
When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
12.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

ACDC: The Adverse Conditions Dataset With Correspondences for Robust Semantic Driving Scene Perception.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Test-Time Training for Hyperspectral Image Super-Resolution.

IEEE transactions on pattern analysis and machine intelligence·2024
Same author

ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training.

IEEE transactions on pattern analysis and machine intelligence·2024
Same author

B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers.

IEEE transactions on pattern analysis and machine intelligence·2024
Same author

Better Understanding Differences in Attribution Methods via Systematic Evaluations.

IEEE transactions on pattern analysis and machine intelligence·2024
Same author

Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators.

IEEE transactions on pattern analysis and machine intelligence·2023

相关实验视频

Updated: Jul 5, 2025

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

12.7K

MTR++:多代理运动预测与对称场景建模和指导意图查询.

Shaoshuai Shi, Li Jiang, Dengxin Dai

    IEEE transactions on pattern analysis and machine intelligence
    |January 12, 2024
    PubMed
    概括

    本研究介绍了用于先进的自动驾驶运动预测的运动转换器 (MTR). MTR通过定位代理意图和改进移动来增强多式联运轨迹预测,提高安全性和效率.

    科学领域:

    • 计算机科学 计算机科学
    • 人工智能的人工智能
    • 机器人技术 机器人技术 机器人技术

    背景情况:

    • 自动驾驶系统需要准确的运动预测,以便在复杂的环境中安全导航.
    • 预测各种交通参与者的行为和情境互动仍然是一个重大挑战.

    研究的目的:

    • 提出运动转换器 (MTR) 框架,以实现高效和准确的多式联运运动预测.
    • 开发MTR++用于同时进行多代理运动预测,增强场景理解和交互建模.

    主要方法:

    • 使用变压器编码解码器开发了MTR,用于轨迹预测,具有可学习的意图查询.
    • 在MTR框架内实施全球意图本地化和本地移动精细化流程.
    • 引入了MTR++与对称上下文建模和相互引导的意图查询,用于多代理预测.

    主要成果:

    • 在竞争性运动预测基准上,MTR实现了最先进的性能.
    • MTR++在预测多种代理的多模式未来轨迹方面表现出卓越的性能和效率.
    • 提出的框架有效地减少了对密集目标候选人的依赖,并提高了预测准确性.

    结论:

    • MTR和MTR++框架在自动驾驶运动预测方面取得了重大进展.

    更多相关视频

    Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
    09:32

    Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

    Published on: April 11, 2018

    9.7K
    Corticospinal Excitability Modulation During Action Observation
    12:33

    Corticospinal Excitability Modulation During Action Observation

    Published on: December 31, 2013

    8.9K

    相关实验视频

    Last Updated: Jul 5, 2025

    MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
    09:46

    MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

    Published on: May 10, 2012

    12.7K
    Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
    09:32

    Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

    Published on: April 11, 2018

    9.7K
    Corticospinal Excitability Modulation During Action Observation
    12:33

    Corticospinal Excitability Modulation During Action Observation

    Published on: December 31, 2013

    8.9K
  • 这些模型为单个和多个代理提供准确,高效和符合场景的未来轨迹预测.
  • 这种方法提高了自动驾驶系统的决策能力.