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相关概念视频

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

383
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
383
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

148
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
148
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

424
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...
424
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

143
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
143
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

382
A slider-crank mechanism 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. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
382
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

106
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
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相关实验视频

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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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使用YOLOv8和跟踪算法进行停车时间违规追踪.

Nabin Sharma1, Sushish Baral1, May Phu Paing2

  • 1Department of Robotics and AI, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
概括

这项研究介绍了一种低成本的停车时间违规跟踪系统,使用CCTV和AI. 该系统有效监控车辆,提高执法效率并降低与手动监控相关的成本.

关键词:
这是一个DeepSORT.这就是OC-SORT.这就是YOLOv8的意义.对象检测检测对象检测对象检测追踪算法 追踪算法 追踪算法车辆跟踪系统 车辆跟踪系统

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相关实验视频

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科学领域:

  • 计算机视觉和人工智能的人工智能
  • 交通管理系统 交通管理系统
  • 监控技术 监控技术 监控技术

背景情况:

  • 违反停车时间是泰国的一个重大问题,目前由CCTV和人类监控管理.
  • 现有的方法资源密集,在检测违规行为时可能缺乏一致的效率.
  • 需要一个具有成本效益和自动化解决方案来监控停车时间限制.

研究的目的:

  • 开发和评估一个低成本的停车时间违规追踪系统.
  • 利用CCTV,深度学习和对象跟踪来自动检测违规行为.
  • 在本应用程序中评估最先进的检测和跟踪算法 (SOTA) 的性能.

主要方法:

  • 使用闭路电视 (CCTV) 进行视频监控.
  • 采用YOLOv8用于对象检测和DeepSORT/OC-SORT算法用于对象跟踪.
  • 实施时间限制条件,以识别和记录违反停车时间的情况.

主要成果:

  • 在跟踪算法中实现了高性能,多对象跟踪精度 (MOTA) 在各种数据集中达到DeepSORT的1.0和OC-SORT的0.90.
  • 证明了系统能够准确跟踪车辆并执行时间限制的能力.
  • 与传统方法相比,综合系统的性能有所改善.

结论:

  • 拟议的系统提供了一种可行的,低成本的解决方案,用于自动检测违规停车时间.
  • 深度学习和对象跟踪算法显著提高了监控系统的效率和准确性.
  • 这种方法为交通管理和执法提供了一种新且有效的方法.