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

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

605
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
605
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

58
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
58
Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

38
Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...
38
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

26
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
26
Differential Leveling01:12

Differential Leveling

143
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
143
Elevation of Intermediate Points on Vertical Curves01:20

Elevation of Intermediate Points on Vertical Curves

24
Vertical curves are essential in roadway design because they provide smooth transitions between varying roadway grades. Designing vertical curves involves calculating intermediate elevations and identifying the curve's highest or lowest point, which is essential for optimal roadway performance.Intermediate elevations on a vertical curve are determined using the tangent offset method. This method considers the initial elevation at the start of the curve, the grades, and the curve's geometry. The...
24

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

CRISPR-Cas9 screening develops an epigenetic and transcriptional gene signature for risk stratification and target prediction in neuroblastoma.

Frontiers in cell and developmental biology·2024
Same author

Enhanced nitrous oxide emission factors due to climate change increase the mitigation challenge in the agricultural sector.

Global change biology·2024
Same author

Minimalist and High-Quality Panoramic Imaging With PSF-Aware Transformers.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2024
Same author

Leveraging the intratumoral microbiota to treat human cancer: are engineered exosomes an effective strategy?

Journal of translational medicine·2024
Same author

Meta-analysis of the efficacy and safety of robot-assisted comparative laparoscopic surgery in lateral lymph node dissection for rectal cancer.

Surgical endoscopy·2024
Same author

AMF inhibit the production of phenolic acid autotoxins at the seed-filling stage in soybeans with continuous monocropping.

BMC plant biology·2024
Same journal

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
查看所有相关文章

相关实验视频

Updated: Jun 12, 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

485

CoBEV:提升路边3D物体检测与深度和高度的互补性

Hao Shi, Chengshan Pang, Jiaming Zhang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |September 24, 2024
    PubMed
    概括
    此摘要是机器生成的。

    补充-BEV (CoBEV) 通过整合深度和高度数据来增强路边3D物体检测. 这种新的框架在智能交通系统中实现了最先进的准确性和稳定性.

    更多相关视频

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
    05:12

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

    Published on: August 12, 2021

    2.0K
    Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
    10:23

    Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

    Published on: September 8, 2023

    2.7K

    相关实验视频

    Last Updated: Jun 12, 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

    485
    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
    05:12

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

    Published on: August 12, 2021

    2.0K
    Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
    10:23

    Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

    Published on: September 8, 2023

    2.7K

    科学领域:

    • 计算机视觉 计算机视觉
    • 智能运输系统 智能运输系统
    • 3D对象检测 3D对象检测

    背景情况:

    • 基于路边摄像头的3D物体检测对于智能交通系统至关重要,它可以提高安全性,而不仅仅是以车辆为中心的感知.
    • 现有的方法通常依赖于有限的深度或高度信息,忽视它们的互补性质.

    研究的目的:

    • 开发一个新的框架,补充-BEV (CoBEV),用于端到端单眼3D物体检测.
    • 为了利用深度和高度特征的互补几何和语义信息,实现强大的鸟视图 (BEV) 表示.

    主要方法:

    • CoBEV估计了像素智能的深度和高度分布,以将摄像头特征提升到3D空间.
    • 一个两阶段的互补特征选择 (CFS) 模块促进了横向融合.
    • 集成了一个BEV特征蒸框架,利用CoBEV教师模型提高准确性.

    主要成果:

    • 在公共基准 (DAIR-V2X-I,Rope3D) 和私人数据集 (Supremind-Road) 上,CoBEV实现了最先进的准确性.
    • 显著改善了对远距离挑战和摄像头噪声的稳定性.
    • 在DAIR-V2X-I (简单模式) 上首次实现80%的车辆AP得分,仅使用摄像机模型.

    结论:

    • CoBEV有效地整合了互补的深度和高度信息,以实现更优质的3D物体检测.
    • 该框架在多样化和具有挑战性的路边场景中显著提高了稳定性和概括能力.
    • CoBEV代表了智能运输系统基于相机的3D物体检测的重大进步.