Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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

Design Example: Alignment of a Road Line Using GIS

322
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...
322

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Genome-Wide Identification of the <i>ZjWPR</i> Gene Family in Chinese Jujube Provides Functional Insights into Its Response to Jujube Witches' Broom.

Plants (Basel, Switzerland)·2026
Same author

Inhibition of Surface-Originated Degradations in Lithium-Rich Layered Cathode via a Pre-Constructed Carbon/Fluorine-Rich Artificial CEI Layer.

Nano-micro letters·2026
Same author

ER-mitochondria tether ML1 coordinates peripheral fission and wholesale mitophagy for plant adaptation to carbon starvation.

Science advances·2026
Same author

In Situ Zn-Doped Prussian Blue Analogues as High-Rate Cathodes for Wide-Temperature Sodium-Ion Batteries.

Small methods·2026
Same author

Exploring the functioning trajectories and associated factors in adolescents with first-diagnosis major depressive disorder: Evidence from the sBEAD cohort.

Journal of affective disorders·2026
Same author

Matrix metalloproteinase-12 in arterial diseases: context-dependent mechanisms of vascular remodeling and therapeutic implications.

Frontiers in cardiovascular medicine·2026

Related Experiment Video

Updated: Jan 13, 2026

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

1.0K

WG-FuseNet: Wavelet-Guided and Gated Fusion Network for Road Segmentation.

Yu Nie1,2, Jiaqi Sun1, Ming Zhu1

  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
Summary

This study introduces a new model for precise road segmentation, enhancing edge and texture details. It achieves high accuracy and real-time performance, improving upon existing methods for complex road scenarios.

Keywords:
feature enhancementgated fusionroad segmentationwavelet transformation

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.3K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

731

Related Experiment Videos

Last Updated: Jan 13, 2026

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

1.0K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.3K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

731

Area of Science:

  • Computer Vision
  • Machine Learning
  • Robotics

Background:

  • Road segmentation is crucial for autonomous driving.
  • Current methods struggle with high-frequency details and adaptive multi-modal fusion.
  • Loss of road edge and texture information leads to imprecise segmentation boundaries.

Purpose of the Study:

  • To develop an innovative model for accurate and efficient road segmentation.
  • To enhance the representation of edge and texture features in road segmentation.
  • To improve the adaptive fusion of RGB and Depth data for better segmentation outcomes.

Main Methods:

  • Designed a Cross-scale Wavelet Enhancement Module (CWEM) for frequency domain analysis.
  • Developed a Gated Cross-Modality Fusion module (GCMF) for adaptive RGB-Depth feature integration.
  • Optimized the loss function to reduce false detections and improve discriminative ability.

Main Results:

  • Achieved 97.31% segmentation accuracy on the KITTI_Road dataset.
  • Maintained a real-time inference speed of 34 FPS.
  • Demonstrated superior performance in road edge integrity and handling of shadow areas.

Conclusions:

  • The proposed model effectively addresses limitations in traditional road segmentation networks.
  • CWEM and GCMF modules enable enhanced feature representation and efficient multi-modal fusion.
  • The optimized loss function improves robustness in complex driving scenarios, achieving state-of-the-art results.