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

Acceleration Vectors01:30

Acceleration Vectors

8.1K
In everyday conversation, accelerating means speeding up. Acceleration is a vector in the same direction as the change in velocity, Δv, therefore the greater the acceleration, the greater the change in velocity over a given time. Since velocity is a vector, it can change in magnitude, direction, or both. Thus acceleration is a change in speed or direction, or both. For example, if a runner traveling at 10 km/h due east slows to a stop, reverses direction, and continues their run at 10 km/h...
8.1K
Association Areas of the Cortex01:21

Association Areas of the Cortex

5.4K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
5.4K

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 author

Three-Dimensional Architectures for Silicon Wafer-Based Integrated Microenergy Storage Systems.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

Bright nanoparticle-labeled lateral flow immunoassay for rapid quantitative detection of tacrolimus in human plasma.

Mikrochimica acta·2025
Same author

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model.

Journal of visualized experiments : JoVE·2025
Same author

An interpretable machine learning model based on optimal feature selection for identifying CT abnormalities in patients with mild traumatic brain injury.

EClinicalMedicine·2025
Same author

Metabolomic machine learning-based model predicts efficacy of chemoimmunotherapy for advanced lung squamous cell carcinoma.

Frontiers in immunology·2025
Same author

Serum Albumin Levels and Length of Stay in Premature Infants.

Indian journal of pediatrics·2025

相关实验视频

Updated: Jul 13, 2025

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

14.9K

基于FPGA的特征提取和跟踪加速器用于实时视觉SLAM.

Jie Zhang1, Shuai Xiong2,3, Cheng Liu4

  • 1National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China.

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

这项研究引入了用于实时视觉测距和V-SLAM的FPGA加速器,将FAST功能与密集的光流相结合,以实现高效的图像处理. 硬件解决方案显著减少了从秒到毫秒的延迟时间,从而实现了实用的边缘应用.

关键词:
很快,非常快,非常快.在FPGA中,FPGA是指FPGA.在V-SLAM中使用V-SLAM.第六章 没有了基因组图均等化 基因图均等化这是一个金字塔加工加工.

更多相关视频

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
10:02

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis

Published on: December 24, 2014

11.8K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

356

相关实验视频

Last Updated: Jul 13, 2025

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

14.9K
FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
10:02

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis

Published on: December 24, 2014

11.8K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

356

科学领域:

  • 计算机视觉 计算机视觉
  • 硬件加速器 硬件加速器
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 基于FPGA的加速在计算机视觉中变得越来越重要,因为它具有较低的延迟,功率效率和灵活性.
  • 实时视觉口径测量 (VO) 和视觉同时定位和映射 (V-SLAM) 需要高效的图像前端处理.

研究的目的:

  • 提出并实施基于FPGA的加速器,用于特征提取和跟踪.
  • 通过将FAST功能与密集的光流相结合,提高VO和V-SLAM的特征跟踪性能.
  • 为了解决FAST特征的局限性,例如尺度和旋转不变性.

主要方法:

  • 开发了一个硬件解决方案,将加速分段测试 (FAST) 功能点与Gunnar Farneback (GF) 密集光流集成.
  • 实施了一种高效的五层金字塔模块,以实现尺度和旋转不变.
  • 在Xilinx Zynq FPGA上部署了加速器.

主要成果:

  • 实现了稳定的功能跟踪,即使在暴力摇的图像中.
  • 证明了与PC上的 MATLAB 模拟的一致性.
  • 从几秒钟 (PC CPU) 减少处理延迟到几毫秒的顺序.

结论:

  • 拟议的FPGA加速器为实时VO和V-SLAM提供了实用和高效的解决方案.
  • 结合FAST特征和GF密集光流的组合,可以提供卓越的特征跟踪.
  • 这种硬件加速能够实现有效的边缘视觉处理.