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相关概念视频

High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

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Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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PD Controller: Design01:26

PD Controller: Design

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In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
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Design Example: Alignment of a Road Line Using GIS01:17

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Design Example: Maintaining Level of an Embankment01:19

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Constructing a roadway embankment over uneven terrain requires precise leveling to ensure stability and proper drainage. Surveyors use a leveling instrument and staff to calculate ground elevations and determine the required fill material at each point along the embankment alignment.The process begins by positioning a leveling instrument near a benchmark with a known elevation. A backsight reading establishes the instrument height, which serves as a reference for subsequent measurements. A...
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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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以环境为导向的方法实现5级自动驾驶.

Mohammad Hurair1, Jaeil Ju1, Junghee Han1

  • 1School of Electronics and Information Engineering, Korea Aerospace University, 76 Hanggongdaehang-ro, Goyang-si 412-791, Gyeonggi-do, Republic of Korea.

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概括
此摘要是机器生成的。

本研究引入了完全自动驾驶汽车的环境驱动框架. 它管理内部参数以满足实时的截止日期,确保在复杂的驾驶场景中安全操作.

关键词:
自动驾驶自动驾驶的自动驾驶.终端到终端的延迟第五层次是第五层次.机器学习是机器学习.实时实时的时间.

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 计算机科学 计算机科学

背景情况:

  • 技术的进步正在推动完全自动驾驶汽车 (5级) 的发展.
  • 实现5级自动驾驶需要超过4级的大量研究,特别是复杂环境中的安全操作.
  • 实时性能至关重要,因为自动驾驶汽车中的传感器系统和机器学习算法必须遵守严格的端到端延迟截止日期.

研究的目的:

  • 为自动驾驶汽车提出一个新的框架,以确保端到端的延迟截止日期.
  • 解决自动驾驶系统中机器学习模块的计算强度问题.
  • 为了保持驾驶精度,同时满足性能要求.

主要方法:

  • 开发了一种以环境为导向的方法,区分无法控制的环境因素和可控制的内部因素 (例如传感频率,图像分辨率,预测率,汽车速度).
  • 设计了一个入口控制模块来调节内部参数,如图像分辨率和检测周期.
  • 该框架根据当前的环境情景确定了满足端到端截止日期的参数的可接受性.

主要成果:

  • 拟议的框架成功地管理了内部参数,以满足端到端的最后期限.
  • 该系统证明了其在各种条件下保持自主驾驶精度的能力.
  • 验证使用远程控制 (RC) 汽车和模拟环境进行.

结论:

  • 环境驱动的框架提供了一个可行的解决方案,以确保自动驾驶汽车的及时性能.
  • 根据环境背景控制内部参数是实现可靠的5级自动驾驶的关键.
  • 该方法提供了一种在复杂的自动驾驶系统中平衡计算负载和驾驶精度的方法.