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Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.3K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.3K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

129
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...
129
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

6.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
6.4K
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

5.5K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
5.5K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

421
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...
421
Control System Problem01:21

Control System Problem

144
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
144

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相关实验视频

Updated: Jul 20, 2025

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

412

基于视觉的飞行中的碰撞避免控制基于使用嵌入式系统的背景减法.

Jeonghwan Park1, Andrew Jaeyong Choi2

  • 1ThorDrive, 165, Seonyu-ro, Yeongdeungpo-gu, Seoul 07268, Republic of Korea.

Sensors (Basel, Switzerland)
|July 29, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种基于视觉的无人驾驶飞行器 (UAV) 避免碰撞的系统. 它使用背景减去和对象跟踪来实现安全的逃避机动,提高飞行安全.

关键词:
背景减去 减去 背景减去避免碰撞,避免碰撞.功能点匹配的匹配光学流的光学流量运行轨迹的估计.无人驾驶飞行器是一种无人驾驶飞行器.

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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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相关实验视频

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SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 计算机视觉 计算机视觉
  • 航空航天工程 航空航天工程

背景情况:

  • 无人机和视觉系统的进步使自动飞行成为可能.
  • 避免空中碰撞对于自主无人机的任务准备至关重要.

研究的目的:

  • 为无人机提出并演示基于视觉的飞行中的碰撞避免系统.
  • 使用嵌入式计算平台开发一个强大的系统来检测,跟踪和避免快速移动的物体.

主要方法:

  • 动态背景减去用于移动物体检测.
  • 形态运算,二元化和欧几里德集群用于降低噪音和对象细分.
  • 卡尔曼过用于对象跟踪和基于立体相机的距离估计,用于3D轨迹分析.
  • 一个新的运动补偿背景减去框架与2D转换近似.

主要成果:

  • 成功检测和跟踪移动的物体.
  • 实施逃避机动的决策技术.
  • 在测试四旋翼无人机上的演示,为参数调整提供了洞察力.

结论:

  • 拟议的系统为避免碰撞的高视觉系统提供了一个可行的替代方案.
  • 开发的框架提高了无人机操作的安全性和自主性.
  • 该研究验证了基于视觉的方法对实时避免碰撞的有效性.