Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same journal

RETRACTED: Ndaguba et al. Operability of Smart Spaces in Urban Environments: A Systematic Review on Enhancing Functionality and User Experience. <i>Sensors</i> 2023, <i>23</i>, 6938.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: Ma et al. A Lightweight, Low-Frequency, Broadband Underwater Acoustic Transducer with Ternary Symmetric Excitation: Integrating KNN and Terfenol-D for Enhanced Performance. <i>2026</i>, <i>26</i>, 3645.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: He et al. An Edge-Computing-Based Emotion-Aware Adaptive Lighting System for Intelligent Cockpits. <i>Sensors</i> 2026, <i>26</i>, 3489.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: Tu et al. Lower Limb Motion Recognition with Improved SVM Based on Surface Electromyography. <i>Sensors</i> 2024, <i>24</i>, 3097.

Sensors (Basel, Switzerland)·2026
Same journal

Real-Time Detection System for Road Roughness Based on Ultrasonic Technology.

Sensors (Basel, Switzerland)·2026
Same journal

FedHSFV: Federated Learning for Finger Vein Recognition via Hierarchical Decoupling and Subspace Metric.

Sensors (Basel, Switzerland)·2026

相关实验视频

Updated: May 11, 2026

High-speed Particle Image Velocimetry Near Surfaces
11:59

High-speed Particle Image Velocimetry Near Surfaces

Published on: June 24, 2013

33.1K

基于NVIDIA OptiX射线追踪引擎的LiMOX-A点云激光器模型工具箱

Relindis Rott1, David J Ritter1, Stefan Ladstätter2

  • 1Virtual Vehicle Research GbmH, 8010 Graz, Austria.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
概括

本研究介绍了一种多功能激光雷达传感器模型,用于自动驾驶模拟. 射线跟踪模型准确地模拟了激光雷达的性能,考虑了材料特性和传感器参数,以实现现实的虚拟测试.

关键词:
红外线材料数据库数据库.激光传感器模型 激光传感器模型模块化软件架构是一个模块化软件架构.射线追踪 (ray tracing) 是一种光线追踪技术.虚拟测试 虚拟测试 虚拟测试

更多相关视频

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
12:22

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Published on: August 4, 2018

8.5K
Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes
08:27

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Published on: March 3, 2023

938

相关实验视频

Last Updated: May 11, 2026

High-speed Particle Image Velocimetry Near Surfaces
11:59

High-speed Particle Image Velocimetry Near Surfaces

Published on: June 24, 2013

33.1K
Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
12:22

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Published on: August 4, 2018

8.5K
Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes
08:27

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Published on: March 3, 2023

938

科学领域:

  • 自主系统 自主系统
  • 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

背景情况:

  • 虚拟测试对于自动驾驶系统的开发至关重要,特别是对于自动驾驶.
  • 感知传感器模型对于感知-计划-行动循环中的真实模拟至关重要.
  • 软件工具中现有的激光雷达传感器模型在功能上有所不同.

研究的目的:

  • 为了介绍一个新的,高度可参数化的点云激光雷达传感器模型.
  • 在模块化软件架构中实现各种激光雷达传感器的模拟.
  • 通过光线追踪和材料数据库,将物理传感器效应纳入.

主要方法:

  • 开发了一个点云激光雷达传感器模型,利用光线追踪.
  • 集成了一个红外材料数据库来模拟光线与表面的相互作用.
  • 设计了一个模块化的软件架构,以实现独立的可用性.
  • 研究了兰伯特材料的角依赖性和最大范围.

主要成果:

  • 该模型精确模拟基于材料反射性的激光雷达传感器效应.
  • 最大可检测范围受到材料特性的影响.
  • 对不同目标材料的角度依赖和范围变化进行了分析.
  • 创建点云并将其与城市街道场景进行比较,使用不同的传感器参数.

结论:

  • 开发的激光雷达传感器模型为模拟各种激光雷达类型提供了灵活的工具箱.
  • 它增强了自动驾驶系统虚拟测试的现实性.
  • 该方法有效地模拟了对感知验证至关重要的物理传感器效应.