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: 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

427
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...
427
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.3K
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.
2.3K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.4K
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
1.4K

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

Defining an Optimal Boron-Doping Window to Navigate the Trade-Off between Li-Ion Kinetics and Interfacial Stability in LiMn<sub>0.6</sub>Fe<sub>0.4</sub>PO<sub>4</sub>@C Cathodes.

ACS applied materials & interfaces·2026
Same author

Neurosymbolic AI as an antithesis to scaling laws.

PNAS nexus·2025
Same author

Visual-Inertial-Wheel Odometry with Slip Compensation and Dynamic Feature Elimination.

Sensors (Basel, Switzerland)·2025
Same author

Consensus-Based Information Filtering in Distributed LiDAR Sensor Network for Tracking Mobile Robots.

Sensors (Basel, Switzerland)·2024
Same author

Regulating Polysulfide Transformation and Deposition Kinetics in Lithium-Sulfur Batteries Based on 3D Conductive Framework.

ACS applied materials & interfaces·2023

相关实验视频

Updated: Feb 28, 2026

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

1.5K

设计3D高清地图可视化器,用于动态环境中的姿势估计和自主导航.

Yunchen Ge1, Marcelo Contreras1, Neel P Bhatt1

  • 1Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
概括

本研究介绍了一种用于自主导航的高清 (HD) 地图框架,集成视觉和LiDAR数据,用于准确的状态估计和运动规划. 该系统确保可靠的传感器数据在动态环境中提供强大的性能.

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 计算机视觉 计算机视觉
  • 自主系统 自主系统

背景情况:

  • 自主导航依赖于准确的高清地图和可靠的传感器数据.
  • 现有系统在动态环境和传感器退化方面面临挑战,特别是GNSS被拒绝的区域.

研究的目的:

  • 开发和验证一个高清地图开发框架,为自主导航提供实时可视化.
  • 通过使用多式联接感知数据来增强状态估计和运动规划.
  • 通过传感器健康监测来确保数据可靠性.

主要方法:

  • 集成同步的视觉和LiDAR数据用于高清地图生成.
  • 开发一个语义意识的视觉测距 (VO) 模块,用于姿势估计.
  • 实施传感器健康监测系统,以确保数据可靠性.

主要成果:

  • 该框架成功地为动态环境生成准确和可解释的高清地图.
  • 语义意识的VO模块实现可靠的姿势估计,即使在降低的感知条件下.
  • 传感器健康监测系统在具有挑战性的城市场景中验证数据完整性.

结论:

关键词:
3D点云数据数据 3D点云数据高清地图的高清地图.在本地化,本地化.多式联网数据融合构成估计估计的估计.

更多相关视频

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

815
3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
10:39

3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache

Published on: June 2, 2014

18.8K

相关实验视频

Last Updated: Feb 28, 2026

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

1.5K
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

815
3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
10:39

3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache

Published on: June 2, 2014

18.8K
  • 拟议的高清地图可视化器和感知模块可用于自主导航.
  • 该框架作为状态估计和运动规划算法的有效基准工具.
  • 该系统在自动驾驶应用中展示了强度和可靠性.