{"title":"基于数字视频色彩空间的自主四轴飞行器位置估计与火灾探测","authors":"M. F. Abdullah, I. Wijayanto, A. Rusdinar","doi":"10.1109/ICCEREC.2016.7814976","DOIUrl":null,"url":null,"abstract":"Autonomous Aerial Fire Extinguisher is one of the categories in Indonesian Aerial Robot Contest (Kontes Robot Terbang Indonesia-KRTI). This is a national contest for Unmanned Aerial Vehicle (UAV). The background of this contest is to give solution for forest fire in Indonesia. In this contest, the UAV needed to detect and determine a fire position placed in an indoor area which then will be extinguished. The most accurate UAV managed to extinguish the fire will be crowned as the champion. To support the detection process, we need to find the best fire detection algorithm to be implemented in the autonomous quadcopter. By analyzing the color space from RGB, we got the average accuracy on real time flight testing is of 72,94%. This value is fit for the contest condition which required minimum accuracy is 70%. Thus, this paper propose a new method that can be implemented in real forest fire detection.","PeriodicalId":431878,"journal":{"name":"2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Position estimation and fire detection based on digital video color space for autonomous quadcopter using odroid XU4\",\"authors\":\"M. F. Abdullah, I. Wijayanto, A. Rusdinar\",\"doi\":\"10.1109/ICCEREC.2016.7814976\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Autonomous Aerial Fire Extinguisher is one of the categories in Indonesian Aerial Robot Contest (Kontes Robot Terbang Indonesia-KRTI). This is a national contest for Unmanned Aerial Vehicle (UAV). The background of this contest is to give solution for forest fire in Indonesia. In this contest, the UAV needed to detect and determine a fire position placed in an indoor area which then will be extinguished. The most accurate UAV managed to extinguish the fire will be crowned as the champion. To support the detection process, we need to find the best fire detection algorithm to be implemented in the autonomous quadcopter. By analyzing the color space from RGB, we got the average accuracy on real time flight testing is of 72,94%. This value is fit for the contest condition which required minimum accuracy is 70%. Thus, this paper propose a new method that can be implemented in real forest fire detection.\",\"PeriodicalId\":431878,\"journal\":{\"name\":\"2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEREC.2016.7814976\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEREC.2016.7814976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
摘要
自主空中灭火器是印度尼西亚空中机器人大赛(Kontes Robot Terbang Indonesia-KRTI)的一个项目。这是一场全国性的无人机竞赛。这次比赛的背景是为印度尼西亚的森林火灾提供解决方案。在这场比赛中，无人机需要探测并确定一个放置在室内区域的火力位置，然后将其扑灭。最准确扑灭火灾的无人机将被加冕为冠军。为了支持探测过程，我们需要找到在自主四轴飞行器中实现的最佳火灾探测算法。通过分析RGB的色彩空间，得到实时飞行测试的平均准确率为72,94%。此值适用于要求最低准确率为70%的竞赛条件。因此，本文提出了一种可以在实际森林火灾探测中实现的新方法。
Position estimation and fire detection based on digital video color space for autonomous quadcopter using odroid XU4
Autonomous Aerial Fire Extinguisher is one of the categories in Indonesian Aerial Robot Contest (Kontes Robot Terbang Indonesia-KRTI). This is a national contest for Unmanned Aerial Vehicle (UAV). The background of this contest is to give solution for forest fire in Indonesia. In this contest, the UAV needed to detect and determine a fire position placed in an indoor area which then will be extinguished. The most accurate UAV managed to extinguish the fire will be crowned as the champion. To support the detection process, we need to find the best fire detection algorithm to be implemented in the autonomous quadcopter. By analyzing the color space from RGB, we got the average accuracy on real time flight testing is of 72,94%. This value is fit for the contest condition which required minimum accuracy is 70%. Thus, this paper propose a new method that can be implemented in real forest fire detection.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
