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

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

66
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...
66

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

Visible-Light-Mediated Three-Component Minisci-Type Reaction of 4-Cyanopyridines.

Organic letters·2025
Same author

Gastric bezoar entering the duodenum causing intestinal obstruction: A case report.

Medicine·2025
Same author

Dysregulation of chromatin remodeling genes predicts clinical outcomes in acute myeloid leukemia.

Journal of the Formosan Medical Association = Taiwan yi zhi·2025
Same author

Development of paper-based electrochemiluminescence test strips for pathogenic microorganisms.

BMC infectious diseases·2025
Same author

Mpox containment strategies in China, 2022-2023: from preparedness to legal management.

BMJ global health·2025
Same author

Alveolar Rhabdomyosarcoma With Bone Marrow Metastases and Disseminated Intravascular Coagulation Mimicking Acute Lymphoblastic Leukemia: A Case Report.

Cureus·2025
Same journal

DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions.

PeerJ. Computer science·2026
Same journal

Alzheimer's disease detection using a quantum deep neural network with Haralick feature extraction and simulated annealing optimization.

PeerJ. Computer science·2026
Same journal

Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network.

PeerJ. Computer science·2026
Same journal

An anomaly detection model for multivariate time series with anomaly perception.

PeerJ. Computer science·2026
Same journal

Retraction: A wormhole attack detection method for tactical wireless sensor networks.

PeerJ. Computer science·2026
Same journal

Evaluation of mental disorder with prioritization of its type by utilizing the bipolar complex fuzzy decision-making approach based on Schweizer-Sklar prioritized aggregation operators.

PeerJ. Computer science·2026
查看所有相关文章

相关实验视频

Updated: Jul 16, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

568

多监督的双向融合网络用于道路表面状况识别.

Hongbin Zhang1, Zhijie Li1, Wengang Wang1

  • 1School of Software, East China JiaoTong University, Nanchang, China.

PeerJ. Computer science
|September 14, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的深度学习模型,用于检测所有照明中的道路状况. 多监督双向聚变网络 (MBFN) 准确识别干燥,湿和积雪的表面,提高自动驾驶的安全性.

关键词:
自动驾驶自动驾驶自动驾驶接下来我们来谈谈一下.多重监督的双向聚变网络.路面状况 路面状况 路面状况

更多相关视频

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.2K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.2K

相关实验视频

Last Updated: Jul 16, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

568
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.2K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.2K

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 自主驾驶系统 自主驾驶系统

背景情况:

  • 确保自动驾驶的安全性需要准确地感知道路表面状况.
  • 目前的道路状况识别模型缺乏稳定性和通用性,特别是在不同的光线条件下.
  • 现有的大部分研究都集中在白天图像分析上,忽视了夜间和恶劣天气场景.

研究的目的:

  • 开发一个强大的和可通用的模型来检测天气引起的道路表面状况.
  • 在白天和晚上实现可靠的自动驾驶车辆运行.
  • 解决现有模型在处理各种道路条件方面的局限性.

主要方法:

  • 提出了一个新的多监督双向聚变网络 (MBFN).
  • 使用ConvNeXt进行特征提取,并使用双向融合模块进行增强的特征表示.
  • 在模型培训中使用多监督损失函数.
  • 在两个公共数据集上验证了模型.

主要成果:

  • 该模型准确地分类了各种路面条件 (干燥,湿,积雪).
  • 与最先进的基线模型相比,实现了更高的性能.
  • 在各种车型变体的各种路况中表现出竞争性表现.

结论:

  • MBFN 模型为实时路面状况检测提供了强大的解决方案.
  • 拟议的方法显著提高了自动驾驶系统的安全性和可靠性.
  • 该模型在白天和夜晚条件下表现的能力标志着一个显著的进步.