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

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

Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment.

IEEE journal of biomedical and health informatics·2025
Same author

Enhancing the Resilience of ROS 2-Based Multi-Robot Systems with Kubernetes: A Case Study on UWB-Based Relative Positioning.

Sensors (Basel, Switzerland)·2025
Same author

Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization.

Frontiers in robotics and AI·2024
Same author

General-Purpose Deep Learning Detection and Segmentation Models for Images from a Lidar-Based Camera Sensor.

Sensors (Basel, Switzerland)·2023
Same author

Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa.

Sensors (Basel, Switzerland)·2020
Same author

Edge Computing to Secure IoT Data Ownership and Trade with the Ethereum Blockchain.

Sensors (Basel, Switzerland)·2020

相关实验视频

Updated: Jul 8, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

746

基于视觉的安全自主无人机与全景传感器对接.

Phuoc Thuan Nguyen1,2, Tomi Westerlund1, Jorge Peña Queralta1

  • 1Turku Intelligent Embedded and Robotic Systems (TIERS) Lab, University of Turku, Turku, Finland.

Frontiers in robotics and AI
|December 11, 2023
PubMed
概括

本研究介绍了一种基于视觉的系统,用于安全的无人机着陆. 一个向上的摄像头检测人,使自主无人机能够在最小的基础设施下安全着陆.

关键词:
深度学习是一种深度学习.对象检测检测对象检测对象检测全景摄像头全景摄像机安全降落安全降落.无人驾驶飞行器 (UAV) 是一种无人驾驶飞行器.基于视觉的本地化定位.

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
Dynamic Navigation for Dental Implant Placement
05:42

Dynamic Navigation for Dental Implant Placement

Published on: September 13, 2022

3.8K

相关实验视频

Last Updated: Jul 8, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

746
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
Dynamic Navigation for Dental Implant Placement
05:42

Dynamic Navigation for Dental Implant Placement

Published on: September 13, 2022

3.8K

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
  • 航空航天工程 航空航天工程

背景情况:

  • 无人驾驶飞行器 (UAV) 的普及需要加强安全协议,特别是在自主降落操作期间.
  • 无人机在对接机动作期间对其附近的个人构成潜在风险.
  • 现有的安全措施往往需要大量的基础设施,这限制了广泛采用.

研究的目的:

  • 用最小的基础设施开发基于视觉的系统,用于安全的自主无人机着陆.
  • 为了检测和定位着陆区域的人,使用面向上方的全向摄像头.
  • 为了实现与无人机的实时通信,以进行动态的着陆状态调整.

主要方法:

  • 使用了一个单一的全方位全景摄像头,放置在着陆台上,指向上方.
  • 采用YOLOv7对象检测模型来识别人员和XGBoost模型用于定位.
  • 集成开源机器人操作系统 (ROS) 和PX4自动驾驶框架用于无人机通信和控制.
  • 在嵌入式计算机上实现实时图像处理.

主要成果:

  • 证明了系统能够检测和估计着陆区内人员的位置.
  • 成功启用实时通信,使无人机在降落,悬浮和紧急降落状态之间进行过渡.
  • 展示了系统在模拟和现实室内实验环境中的有效性.
  • 验证了系统在关键情况下 (如电池耗尽) 帮助找到最佳着陆位置的能力.

结论:

  • 拟议的基于视觉的系统显著提高了自主无人机着陆的安全性.
  • 最小的基础设施要求使该解决方案适用于各种部署场景.
  • 实时检测和通信对于空中机器人安全的人机交互至关重要.