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相关概念视频

Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

4.9K
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...
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Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

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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...
3.7K
Elastic Collisions: Introduction01:00

Elastic Collisions: Introduction

12.3K
An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
12.3K
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

13.5K
Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
13.5K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

643
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
643
Types of Collisions - II01:19

Types of Collisions - II

7.3K
When two or more objects collide with each other, they can stick together to form one single composite object (after collision). The total mass of the object after the collision is the sum of the masses of the original objects, and it moves with a velocity dictated by the conservation of momentum. Although the system's total momentum remains constant, the kinetic energy decreases, and thus such a collision is an inelastic collision. Most of the collisions between objects in daily life are...
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相关实验视频

Updated: Jun 10, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
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Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

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增强的视觉SLAM用于轻型自动驾驶汽车的无碰撞驾驶.

Zhihao Lin1, Zhen Tian1, Qi Zhang2

  • 1James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.

Sensors (Basel, Switzerland)
|October 16, 2024
PubMed
概括

本研究介绍了一种基于视觉的避障系统,用于自动驾驶汽车,使用单一的摄像头和CPU. 这种新的方法确保在复杂的环境中安全导航和高效的路线规划.

关键词:
斯拉姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯自动驾驶汽车 自动驾驶汽车避免障碍 避免障碍 避免障碍基于视觉导航的导航

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Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
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Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
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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
  • 人工智能的人工智能

背景情况:

  • 自动驾驶汽车需要强大的避障系统.
  • 高效的车载处理对于自动驾驶汽车的实时决策至关重要.
  • 整合感知和规划是安全和动态航行的关键.

研究的目的:

  • 为轻量级自动驾驶汽车开发基于愿景的避障策略.
  • 为了使系统能够使用单个RGB-D摄像头在仅使用CPU的设备上运行.
  • 为了实现安全,稳定和高效的路径规划.

主要方法:

  • 使用ORBSLAM3的视觉感知,增强了用于姿势估计和场景纹理分析的光流.
  • 路径规划将控制莱普诺夫函数和控制屏障函数结合在一个二进制程序 (CLF-CBF-QP) 中.
  • 障碍物形状重建过程 (SRP) 与CLF-CBF-QP集成用于轨迹生成.

主要成果:

  • 拟议的方法有效地避免了在复杂的室内环境中的障碍物,模拟在 Gazebo.
  • 与基准方法相比,该算法显示出更高的性能.
  • 在各种模拟场景中实现了更稳定,更短的轨迹.

结论:

  • 开发的基于视觉的系统为轻型自动驾驶汽车的障碍回避提供了有效的解决方案.
  • 只有CPU的实现使得该系统可用于资源有限的自主平台.
  • 先进的感知和规划技术的结合确保了强大的和高效的导航.