基于多传感器的人体检测机器人综述

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC International Journal on Smart Sensing and Intelligent Systems Pub Date : 2023-01-01 DOI:10.2478/ijssis-2023-0009
A. Vellingiri, K. Mohanasundaram, K. Tamilselvan, R. Maheswar, N. Ganesh
{"title":"基于多传感器的人体检测机器人综述","authors":"A. Vellingiri, K. Mohanasundaram, K. Tamilselvan, R. Maheswar, N. Ganesh","doi":"10.2478/ijssis-2023-0009","DOIUrl":null,"url":null,"abstract":"Abstract Many natural disasters occur in today's world, resulting in the loss of human life. The application of sensor technology would not stop natural disasters from happening, but it will help those who are affected. It will take time and effort to find the humans who are still alive beneath the rubbles. Ordinary bots that are assigned to rescue missions involving the discovery of living humans trapped beneath massive piles of debris are ordinarily subject to repeated harm arising from continuous contact with the damaged structures. As a result, a significant demand for sensors exists. Sensors are becoming more important as a means of gathering sensory data from the affected area. It is possible to locate humans who are still alive, as well as ascertain the condition of victims who require immediate medical attention in order to survive, using this information. The primary goal of this study is to provide an overview of current sensor-based rescue robot research. Several papers were reviewed in the areas of design, interfacing, controlling, simulation, and applications. Furthermore, this review discusses the use of sensors in the detection of humans as well as the potential for future developments.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple Sensor based Human Detection Robots: A Review\",\"authors\":\"A. Vellingiri, K. Mohanasundaram, K. Tamilselvan, R. Maheswar, N. Ganesh\",\"doi\":\"10.2478/ijssis-2023-0009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Many natural disasters occur in today's world, resulting in the loss of human life. The application of sensor technology would not stop natural disasters from happening, but it will help those who are affected. It will take time and effort to find the humans who are still alive beneath the rubbles. Ordinary bots that are assigned to rescue missions involving the discovery of living humans trapped beneath massive piles of debris are ordinarily subject to repeated harm arising from continuous contact with the damaged structures. As a result, a significant demand for sensors exists. Sensors are becoming more important as a means of gathering sensory data from the affected area. It is possible to locate humans who are still alive, as well as ascertain the condition of victims who require immediate medical attention in order to survive, using this information. The primary goal of this study is to provide an overview of current sensor-based rescue robot research. Several papers were reviewed in the areas of design, interfacing, controlling, simulation, and applications. Furthermore, this review discusses the use of sensors in the detection of humans as well as the potential for future developments.\",\"PeriodicalId\":45623,\"journal\":{\"name\":\"International Journal on Smart Sensing and Intelligent Systems\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal on Smart Sensing and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/ijssis-2023-0009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Smart Sensing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ijssis-2023-0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

当今世界发生了许多自然灾害,造成了人类生命的损失。传感器技术的应用不会阻止自然灾害的发生,但它会帮助那些受影响的人。要在废墟下找到那些还活着的人需要时间和努力。普通机器人被派去执行搜救任务,包括发现被困在大量废墟下的活人,但由于不断接触受损的建筑,它们通常会受到反复伤害。因此,对传感器的需求很大。传感器作为一种从受灾地区收集感官数据的手段正变得越来越重要。利用这些信息,可以找到仍然活着的人,并确定需要立即就医才能生存的受害者的状况。本研究的主要目的是概述当前基于传感器的救援机器人的研究现状。对设计、接口、控制、仿真和应用等方面的论文进行了综述。此外,本文还讨论了传感器在人体检测中的应用以及未来发展的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Multiple Sensor based Human Detection Robots: A Review
Abstract Many natural disasters occur in today's world, resulting in the loss of human life. The application of sensor technology would not stop natural disasters from happening, but it will help those who are affected. It will take time and effort to find the humans who are still alive beneath the rubbles. Ordinary bots that are assigned to rescue missions involving the discovery of living humans trapped beneath massive piles of debris are ordinarily subject to repeated harm arising from continuous contact with the damaged structures. As a result, a significant demand for sensors exists. Sensors are becoming more important as a means of gathering sensory data from the affected area. It is possible to locate humans who are still alive, as well as ascertain the condition of victims who require immediate medical attention in order to survive, using this information. The primary goal of this study is to provide an overview of current sensor-based rescue robot research. Several papers were reviewed in the areas of design, interfacing, controlling, simulation, and applications. Furthermore, this review discusses the use of sensors in the detection of humans as well as the potential for future developments.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
期刊最新文献
Performance Comparison of Statistical vs. Neural-Based Translation System on Low-Resource Languages Backpack detection model using multi-scale superpixel and body-part segmentation Study of structural and morphological properties of RF-sputtered SnO2 thin films and their effect on gas-sensing phenomenon Biometric authentication sensor with an encryption module for prevention of h/w hacking in digital custody services Multiple Sensor based Human Detection Robots: A Review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1