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

523
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.
523
Parallel Processing01:20

Parallel Processing

143
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
143

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

Wavelet-CNet: Wavelet Cross Fusion and Detail Enhancement Network for RGB-Thermal Semantic Segmentation.

Sensors (Basel, Switzerland)·2026
Same author

Synergistic effects of Akebia saponin D and Semaglutide on diabetic nephropathy and osteoporosis via the Klotho‑p53 signaling axis.

International journal of molecular medicine·2025
Same author

Benchmark Dataset and Deep Model for Monocular Camera Calibration from Single Highway Images.

Sensors (Basel, Switzerland)·2025
Same author

Single-Nucleus RNA Sequencing and Spatial Transcriptomics Reveal Cellular Heterogeneity and Intercellular Communication Networks in the Hypothalamus-Pituitary-Ovarian Axis of Pregnant Mongolian Cattle.

Animals : an open access journal from MDPI·2025
Same author

Population Pharmacokinetic and Exposure-Response Analysis of the Cognitive Effects of TAK-071 in Participants With Parkinson Disease and Cognitive Impairment.

Clinical pharmacology in drug development·2025
Same author

Multi-omics analysis of epigenetic dysregulation reveals clinical heterogeneity and evaluates the immunotherapeutic potential of lung adenocarcinoma.

Genes & diseases·2025

相关实验视频

Updated: May 28, 2025

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

872

单一AMP:适应性多顺序感知聚合用于单眼3D车辆检测.

Xiaoxi Hu1, Tao Chen1, Wentao Zhang1

  • 1School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong 723001, China.

Sensors (Basel, Switzerland)
|February 13, 2025
PubMed
概括

MonoAMP 改进了单眼 3D 对象检测,使用自适应的多顺序感知和不确定性引导的深度估计. 这种算法在复杂的自动驾驶场景中提高了性能.

科学领域:

  • 计算机视觉 计算机视觉
  • 自主驾驶系统 自主驾驶系统

背景情况:

  • 由于效率,单眼3D物体检测对于自动驾驶至关重要.
  • 现有的方法在复杂场景中扎着跨维的注意力和多层次的背景.

研究的目的:

  • 介绍MonoAMP,一个自适应的多顺序感知聚合算法.
  • 增强特征注意力和上下文信息建模,以改进3D对象检测.

主要方法:

  • 实现三重注意力,以增强跨维特征交互.
  • 开发了一个适应性的多顺序感知聚合模块,用于动态上下文捕获.
  • 提出了一个不确定性引导的自适应深度组合,用于强大的深度预测.

主要成果:

  • 在KITTI数据集上,MonoAMP实现了显著的性能增长 (16.80% AP3D,24.47% APBEV).
  • 废弃性研究显示,对象检测准确度比基线方法提高了3.78%.
  • 具有卓越的检测能力,特别是在复杂的驾驶场景中.

结论:

  • MonoAMP有效地解决了当前单眼3D物体检测方法的局限性.
  • 拟议的自适应聚合和不确定性引导的深度融合提高了感知和准确性.
关键词:
自动驾驶自动驾驶的自动驾驶.跨维的注意力注意力.单眼3D物体检测器多序聚合的多序聚合.多尺度的核聚变.

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

1.9K
Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

519

相关实验视频

Last Updated: May 28, 2025

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

872
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

1.9K
Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

519
  • MonoAMP为自动驾驶中强大的3D物体检测提供了一个有前途的解决方案.