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関連する概念動画

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 systems01:22

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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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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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Updated: Sep 9, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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自動電動三輪車の軌道追跡と多重違反検知

Leishan Guo1, Bo Yu2, Benhao Xie1

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

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

この研究は,電気三輪車の動きを追跡し,超速運転や違法な車線変更などの違反を特定することで,都市交通の安全性を高めるために,電気三輪車のオブジェクト検出 (ETOD) モデルと電気三輪車の違反検出システム (ETVDS) を導入します.

キーワード:
電気三輪車ターゲット検出軌道追跡違反を検知する

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科学分野:

  • 都市計画と交通管理
  • コンピュータビジョンと人工知能
  • 輸送安全工学

背景:

  • 電気三輪車は 交通違反の増加に寄与し 都市安全に影響を及ぼしています
  • 電気三輪車の自動追跡と違反検知は 交通管理に不可欠です

研究 の 目的:

  • 電気三輪車違反を検知するための自動化システムを開発する.
  • 電気三輪車に関する違反を解決することで,都市交通の安全性を向上させる.

主な方法:

  • カスタムデータセットを使用して,電気三輪車オブジェクト検出 (ETOD) モデルを作成しました.
  • マルチオブジェクト追跡アルゴリズムは,電気三輪車違反検出システム (ETVDS) を形成するために統合されました.
  • このシステムは電気三輪車の走行軌道を分析し 超速,超負荷,違法な車線変更を特定します

主要な成果:

  • ETODモデルは,電気三輪車のリアルタイムで正確な認識と高精度検出を実現しました.
  • ETVDSは,電動三輪車に関する複数の違反と複雑な交通紛争を成功裏に特定しました.
  • 開発されたシステムは,都市交通のシナリオに挑戦する際の有効性を示しました.

結論:

  • 提案されたETODモデルとETVDSは,電気三輪車の交通違反を緩和するための堅固な技術的解決策を提供します.
  • このシステムは,都市交通の安全と管理を大幅に向上させることができます.
  • この研究は,マイクロモビリティの安全性に焦点を当てた将来のインテリジェントな交通システムの基盤を提供します.