文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期，新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

新冠病毒监测机器人：监测室内场景中的社交距离限制。

COVID surveillance robot: Monitoring social distancing constraints in indoor scenarios.

机构信息

Department of Electrical and Computer Engineering, University of Maryland, College Park, Maryland, United States of America.

Department of Computer Science, University of Maryland, College Park, Maryland, United States of America.

出版信息

PLoS One. 2021 Dec 1;16(12):e0259713. doi: 10.1371/journal.pone.0259713. eCollection 2021.

DOI:10.1371/journal.pone.0259713
PMID:34851982
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8635356/
Abstract

Observing social/physical distancing norms between humans has become an indispensable precaution to slow down the transmission of COVID-19. We present a novel method to automatically detect pairs of humans in a crowded scenario who are not maintaining social distancing, i.e. about 2 meters of space between them using an autonomous mobile robot and existing CCTV (Closed-Circuit TeleVision) cameras. The robot is equipped with commodity sensors, namely an RGB-D (Red Green Blue-Depth) camera and a 2-D lidar to detect social distancing breaches within their sensing range and navigate towards the location of the breach. Moreover, it discreetly alerts the relevant people to move apart by using a mounted display. In addition, we also equip the robot with a thermal camera that transmits thermal images to security/healthcare personnel who monitors COVID symptoms such as a fever. In indoor scenarios, we integrate the mobile robot setup with a static wall-mounted CCTV camera to further improve the number of social distancing breaches detected, accurately pursuing walking groups of people etc. We highlight the performance benefits of our robot + CCTV approach in different static and dynamic indoor scenarios.

摘要

观察人类之间的社交/物理距离规范已经成为减缓 COVID-19 传播的不可或缺的预防措施。我们提出了一种新的方法，使用自主移动机器人和现有的闭路电视（CCTV）摄像机自动检测拥挤场景中未保持社交距离的人类对，即彼此之间大约 2 米的空间。机器人配备了商品传感器，即 RGB-D（红、绿、蓝-深度）摄像机和 2-D 激光雷达，以检测其感应范围内的社交距离违规行为，并导航到违规地点。此外，它还通过安装的显示器 discreetly 提醒相关人员分开。此外，我们还为机器人配备了热像仪，将热图像传输给监控 COVID 症状（如发烧）的安全/医疗保健人员。在室内场景中，我们将移动机器人设置与静态壁挂式 CCTV 摄像机集成在一起，以进一步提高检测到的社交距离违规数量，准确地追踪行走的人群等。我们强调了我们的机器人+CCTV 方法在不同静态和动态室内场景中的性能优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/1aa33d48cc24/pone.0259713.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/2fd065203de4/pone.0259713.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/db2e758195d9/pone.0259713.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/f5df02dc0910/pone.0259713.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/f3dc7e23a8f7/pone.0259713.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/c5b15282818c/pone.0259713.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/c82845bda89b/pone.0259713.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/94641781805a/pone.0259713.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/96d091a31012/pone.0259713.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/1aa33d48cc24/pone.0259713.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/2fd065203de4/pone.0259713.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/db2e758195d9/pone.0259713.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/f5df02dc0910/pone.0259713.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/f3dc7e23a8f7/pone.0259713.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/c5b15282818c/pone.0259713.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/c82845bda89b/pone.0259713.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/94641781805a/pone.0259713.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/96d091a31012/pone.0259713.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d98e/8635356/1aa33d48cc24/pone.0259713.g009.jpg

相似文献

[1]
COVID surveillance robot: Monitoring social distancing constraints in indoor scenarios.

PLoS One. 2021

[2]
Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video.

Sensors (Basel). 2020-9-12

[3]
Social distancing compliance: A video observational analysis.

PLoS One. 2021

[4]
Determining the level of social distancing necessary to avoid future COVID-19 epidemic waves: a modelling study for North East London.

Sci Rep. 2021-3-11

[5]
Mathematical model of COVID-19 intervention scenarios for São Paulo-Brazil.

Nat Commun. 2021-1-18

[6]
Social Distance in COVID-19: Drawing the line between protective behavior and stigma manifestation.

Psychiatriki. 2021-9-20

[7]
A Retrospective Analysis of Indoor CO Measurements Obtained with a Mobile Robot during the COVID-19 Pandemic.

Sensors (Basel). 2024-5-13

[8]
A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras.

Sensors (Basel). 2022-1-6

[9]
Association of social distancing and face mask use with risk of COVID-19.

Nat Commun. 2021-6-18

[10]
What is suitable social distancing for people wearing face masks during the COVID-19 pandemic?

Indoor Air. 2022-1

引用本文的文献

[1]
Application of artificial intelligence (AI) to control COVID-19 pandemic: Current status and future prospects.

Heliyon. 2024-2-9

[2]
Development of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19.

Appl Soft Comput. 2021-10

[3]
A survey on computer vision based human analysis in the COVID-19 era.

Image Vis Comput. 2023-2

[4]
A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine.

Front Artif Intell. 2022-12-2

[5]
Socially facilitative robots for older adults to alleviate social isolation: A participatory design workshop approach in the US and Japan.

Front Psychol. 2022-10-19

[6]
Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey.

Sustain Cities Soc. 2022-10

[7]
The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey.

Sensors (Basel). 2022-6-17

[8]
Introducing a Smart City Component in a Robotic Competition: A Field Report.

Front Robot AI. 2022-2-16

[9]
Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions.

Sensors (Basel). 2021-12-30

[10]
Physical Distancing Device with Edge Computing for COVID-19 (PADDIE-C19).

Sensors (Basel). 2021-12-30

本文引用的文献

[1]
A Vision-Based Social Distancing and Critical Density Detection System for COVID-19.

Sensors (Basel). 2021-7-5

[2]
Relevance of workplace social mixing during influenza pandemics: an experimental modelling study of workplace cultures.

Epidemiol Infect. 2016-7

[3]
Policies to reduce influenza in the workplace: impact assessments using an agent-based model.

Am J Public Health. 2013-6-13

[4]
Agent-based simulation for weekend-extension strategies to mitigate influenza outbreaks.

BMC Public Health. 2011-6-30

[5]
A small community model for the transmission of infectious diseases: comparison of school closure as an intervention in individual-based models of an influenza pandemic.

PLoS One. 2008

[6]
Estimating the impact of school closure on influenza transmission from Sentinel data.

Nature. 2008-4-10

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索