M. N. Ul Saqib, Shehroz Baig, M. Mujahid, M. Tariq, Waqas Ahmed
{"title":"基于目标跟踪的战斗四轴飞行器","authors":"M. N. Ul Saqib, Shehroz Baig, M. Mujahid, M. Tariq, Waqas Ahmed","doi":"10.1109/ICAEM.2018.8536299","DOIUrl":null,"url":null,"abstract":"The use of Unmanned Aerial Vehicles (UAVs) for various remote sensing tasks; such as military, surveillance, sports, wildlife, rescue, filming and photography is an area of research these days. The ability of UAVs to autonomously find a target and perform on-board decision making, such as track and hit the target with gun, is a desired capability. In this paper UAV based on target detection and target hitting is presented. This UAV has minimum cost and an open source framework. It uses Autopilot (APM 2.6) as a flight controller and Raspberry Pi 2 microcontroller. A camera is interfaced with the Raspberry Pi for image acquisition and processing. Multiple tests have been performed to check the efficiency of object tracking algorithm and gun shooting capability of the UAV during flight.","PeriodicalId":427270,"journal":{"name":"2018 International Conference on Applied and Engineering Mathematics (ICAEM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Object Tracking Based Combat Quadcopter\",\"authors\":\"M. N. Ul Saqib, Shehroz Baig, M. Mujahid, M. Tariq, Waqas Ahmed\",\"doi\":\"10.1109/ICAEM.2018.8536299\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of Unmanned Aerial Vehicles (UAVs) for various remote sensing tasks; such as military, surveillance, sports, wildlife, rescue, filming and photography is an area of research these days. The ability of UAVs to autonomously find a target and perform on-board decision making, such as track and hit the target with gun, is a desired capability. In this paper UAV based on target detection and target hitting is presented. This UAV has minimum cost and an open source framework. It uses Autopilot (APM 2.6) as a flight controller and Raspberry Pi 2 microcontroller. A camera is interfaced with the Raspberry Pi for image acquisition and processing. Multiple tests have been performed to check the efficiency of object tracking algorithm and gun shooting capability of the UAV during flight.\",\"PeriodicalId\":427270,\"journal\":{\"name\":\"2018 International Conference on Applied and Engineering Mathematics (ICAEM)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Applied and Engineering Mathematics (ICAEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAEM.2018.8536299\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Applied and Engineering Mathematics (ICAEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAEM.2018.8536299","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The use of Unmanned Aerial Vehicles (UAVs) for various remote sensing tasks; such as military, surveillance, sports, wildlife, rescue, filming and photography is an area of research these days. The ability of UAVs to autonomously find a target and perform on-board decision making, such as track and hit the target with gun, is a desired capability. In this paper UAV based on target detection and target hitting is presented. This UAV has minimum cost and an open source framework. It uses Autopilot (APM 2.6) as a flight controller and Raspberry Pi 2 microcontroller. A camera is interfaced with the Raspberry Pi for image acquisition and processing. Multiple tests have been performed to check the efficiency of object tracking algorithm and gun shooting capability of the UAV during flight.