{"title":"Development of a Plug-and-Play Infrared Landing System for Multirotor Unmanned Aerial Vehicles","authors":"Ephraim Nowak, Kashish Gupta, H. Najjaran","doi":"10.1109/CRV.2017.23","DOIUrl":null,"url":null,"abstract":"Precise landing of multirotor unmanned aerial vehicles (UAVs) in confined, GPS-denied and vision-compromised environments presents a challenge to common autopilot systems. In this work we outline an autonomous infrared (IR) landing system using a ground-based IR radiator, UAV-mounted IR camera, and image processing computer. Previous work has focused on UAV-mounted IR sources for UAV localization, or systems using multiple distributed ground-based IR sources to estimate UAV pose. We experimented with the use of a single ground-based IR radiator to determine the UAV's relative location in three-dimensional space. The outcome of our research significantly simplifies the landing zone setup by requiring only a single IR source, and increases operational flexibility, as the vision-based system adapts to changes in landing zone position. The usefulness of our system is especially demonstrated in vision-compromised applications such as nighttime operations, or in smoky environments observed during forest fires. We also evaluated a high-power IR radiator for future research in the field of outdoor autonomous point-to-point navigation between IR sources where GPS is unavailable.","PeriodicalId":308760,"journal":{"name":"2017 14th Conference on Computer and Robot Vision (CRV)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th Conference on Computer and Robot Vision (CRV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CRV.2017.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Precise landing of multirotor unmanned aerial vehicles (UAVs) in confined, GPS-denied and vision-compromised environments presents a challenge to common autopilot systems. In this work we outline an autonomous infrared (IR) landing system using a ground-based IR radiator, UAV-mounted IR camera, and image processing computer. Previous work has focused on UAV-mounted IR sources for UAV localization, or systems using multiple distributed ground-based IR sources to estimate UAV pose. We experimented with the use of a single ground-based IR radiator to determine the UAV's relative location in three-dimensional space. The outcome of our research significantly simplifies the landing zone setup by requiring only a single IR source, and increases operational flexibility, as the vision-based system adapts to changes in landing zone position. The usefulness of our system is especially demonstrated in vision-compromised applications such as nighttime operations, or in smoky environments observed during forest fires. We also evaluated a high-power IR radiator for future research in the field of outdoor autonomous point-to-point navigation between IR sources where GPS is unavailable.