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相关概念视频

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

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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...
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Multi-input and Multi-variable systems

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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...
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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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相关实验视频

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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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自动电动三轮车轨迹跟踪和多重违规检测

Leishan Guo1, Bo Yu2, Benhao Xie1

  • 1School of Qilu Transportation, Shandong University, Jinan 250062, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
概括

这项研究引入了电动三轮车物体检测 (ETOD) 模型和电动三轮车违规检测系统 (ETVDS),通过追踪电动三轮车的移动和识别超速和非法变更车道等违规行为,提高城市交通安全.

科学领域:

  • 城市规划和交通管理
  • 计算机视觉和人工智能
  • 运输安全工程

背景情况:

  • 电动三轮车有助于增加交通违法行为,
  • 电动三轮车的自动追踪和违规检测对于交通管理至关重要.

研究的目的:

  • 开发一个用于检测电动三轮车违规行为的自动化系统.
  • 通过解决与电动三轮车相关的违法行为,提高城市交通安全.

主要方法:

  • 使用定制数据集创建了一个电动三轮物体检测 (ETOD) 模型.
  • 一个多对象跟踪算法被整合成一个电动三轮违规检测系统 (ETVDS).
  • 系统分析电动三轮车的轨迹, 识别超速, 超载, 和非法变更车道.

主要成果:

  • 电动三轮车的ETOD模型实现了实时,准确的识别和高精度的检测.
  • 通过ETVDS成功发现了涉及电动三轮车的多起违法行为和复杂的交通冲突.
  • 开发的系统在具有挑战性的城市交通场景中表现出有效性.

结论:

  • 拟议的ETOD模型和ETVDS提供了一个强大的技术解决方案来缓解电动三轮车交通违规行为.
关键词:
电动三轮车目标检测轨道跟踪发现违规行为

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  • 这种系统可以显著提高城市交通安全和管理.
  • 这项研究为未来专注于微型交通安全的智能交通系统提供了基础.