{"title":"Operational Considerations for Autonomous Aerial Monitoring","authors":"C. Olsen, D. Kunz","doi":"10.1109/ICUAS.2018.8453364","DOIUrl":null,"url":null,"abstract":"We explore the suitability of the Maximal Distance Discounted & Weighted Revisit Period utility function as a basis for task selection by an autonomous aerial vehicle in the presence of operational factors. The vehicles must persistently visit tasks that are located throughout a broad region. The four operational factors considered are Dubins constraints on vehicle motion, the presence of no-fly zones in the mission area, return to base requirements, and the addition/removal of vehicles and tasks throughout the mission. We show Euclidean distance to be a sufficient basis for estimating travel times so long as the ratio of the vehicle turning radius to the average distance between tasks is less than 0.3. We also develop a means by which the effect of a no-fly zone on the mission can be measured, which we call the Impact Ratio, and begin to characterize when the utility function parameters must be adjusted due to a no-fly zone. Furthermore, we show that the utility function is capable of meeting a required revisit window to a base node by adjusting task weight parameters. Finally, we demonstrate that our utility function automatically adapts to a changing mission environment, whether those changes are planned by operators or the result of unforeseen events.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUAS.2018.8453364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We explore the suitability of the Maximal Distance Discounted & Weighted Revisit Period utility function as a basis for task selection by an autonomous aerial vehicle in the presence of operational factors. The vehicles must persistently visit tasks that are located throughout a broad region. The four operational factors considered are Dubins constraints on vehicle motion, the presence of no-fly zones in the mission area, return to base requirements, and the addition/removal of vehicles and tasks throughout the mission. We show Euclidean distance to be a sufficient basis for estimating travel times so long as the ratio of the vehicle turning radius to the average distance between tasks is less than 0.3. We also develop a means by which the effect of a no-fly zone on the mission can be measured, which we call the Impact Ratio, and begin to characterize when the utility function parameters must be adjusted due to a no-fly zone. Furthermore, we show that the utility function is capable of meeting a required revisit window to a base node by adjusting task weight parameters. Finally, we demonstrate that our utility function automatically adapts to a changing mission environment, whether those changes are planned by operators or the result of unforeseen events.