Diego Calderón, Rodrigo Cordero, Ariel González, Ali Lemus, Julio Fajardo
{"title":"伽利略援助无人机:自主野火助手的系统集成","authors":"Diego Calderón, Rodrigo Cordero, Ariel González, Ali Lemus, Julio Fajardo","doi":"10.1109/IEEECONF49454.2021.9382777","DOIUrl":null,"url":null,"abstract":"Mobile robots are playing an important role as monitoring and immediate response services supporting risk management systems for natural or artificial disasters. In this work, an integration of systems based on a Unmanned Aerial Vehicle collects relevant information and show the status of a wildfire through an interactive dashboard, which can be accessed by the risk and disaster management systems through any computer. In addition, the system can identify people and communities at risk by presenting their estimated geolocation on a map, as well as the spread of the fire. In this way, it will be possible to understand the magnitude of the disaster, and thus develop better rescue and monitoring strategies.","PeriodicalId":395378,"journal":{"name":"2021 IEEE/SICE International Symposium on System Integration (SII)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Galileo Aid Drone: A System Integration for Autonomous Wildfire Assistants\",\"authors\":\"Diego Calderón, Rodrigo Cordero, Ariel González, Ali Lemus, Julio Fajardo\",\"doi\":\"10.1109/IEEECONF49454.2021.9382777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile robots are playing an important role as monitoring and immediate response services supporting risk management systems for natural or artificial disasters. In this work, an integration of systems based on a Unmanned Aerial Vehicle collects relevant information and show the status of a wildfire through an interactive dashboard, which can be accessed by the risk and disaster management systems through any computer. In addition, the system can identify people and communities at risk by presenting their estimated geolocation on a map, as well as the spread of the fire. In this way, it will be possible to understand the magnitude of the disaster, and thus develop better rescue and monitoring strategies.\",\"PeriodicalId\":395378,\"journal\":{\"name\":\"2021 IEEE/SICE International Symposium on System Integration (SII)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE/SICE International Symposium on System Integration (SII)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEECONF49454.2021.9382777\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/SICE International Symposium on System Integration (SII)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEECONF49454.2021.9382777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Galileo Aid Drone: A System Integration for Autonomous Wildfire Assistants
Mobile robots are playing an important role as monitoring and immediate response services supporting risk management systems for natural or artificial disasters. In this work, an integration of systems based on a Unmanned Aerial Vehicle collects relevant information and show the status of a wildfire through an interactive dashboard, which can be accessed by the risk and disaster management systems through any computer. In addition, the system can identify people and communities at risk by presenting their estimated geolocation on a map, as well as the spread of the fire. In this way, it will be possible to understand the magnitude of the disaster, and thus develop better rescue and monitoring strategies.