Alexander Castro, Nevo Magnezi, Biruk Sintayehu, Alexander Quinto, P. Abshire
{"title":"Odor Source Localization on a Nano Quadcopter","authors":"Alexander Castro, Nevo Magnezi, Biruk Sintayehu, Alexander Quinto, P. Abshire","doi":"10.1109/BIOCAS.2018.8584769","DOIUrl":null,"url":null,"abstract":"We describe a nano-UAV system for odor source localization in a windless indoor environment. The central part of the system is a small drone (Crazyflie) that has been augmented with a commercial solid state gas sensor. The drone acquires data from onboard gas and optic flow sensors and is controlled by a laptop. We used the sensor to characterize an odor plume both manually and deployed on the Crazyflie. An odor source localization method is described and implemented on the drone. The proposed system uses low cost sensors and is small enough to comfortably and safely fly indoors.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2018.8584769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
We describe a nano-UAV system for odor source localization in a windless indoor environment. The central part of the system is a small drone (Crazyflie) that has been augmented with a commercial solid state gas sensor. The drone acquires data from onboard gas and optic flow sensors and is controlled by a laptop. We used the sensor to characterize an odor plume both manually and deployed on the Crazyflie. An odor source localization method is described and implemented on the drone. The proposed system uses low cost sensors and is small enough to comfortably and safely fly indoors.