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Rotor-induced Airflow for Odor Source Detection on Nano-Quadcopters

  • University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We report a nano-quadcopter system that performs odor detection in a windless indoor environment. The system uses the Crazyflie platform and incorporates a single commercially available metal oxide semiconductor gas sensor. We demonstrate that rotor-induced airflow enhances odor detection. It can be considered to be the quadrotor equivalent of sniffing behavior. The Crazyflie-based system was used to characterize the likelihood and power consumption for detection of an odor plume across various rotor-induced flow conditions. Results indicate that rotor-induced airflow increases the detection count by 18.5X while incurring modest increases in power consumption. When the additional power is taken into consideration, detection performance increases more than the power over the entire Pareto front, with a ratio as high as 3.5X under optimal conditions. We conclude that rotor-induced airflow supports a power-aware approach for odor source detection.

Original languageEnglish
Title of host publicationIEEE Sensors, SENSORS 2020 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728168012
DOIs
StatePublished - Oct 25 2020
Event2020 IEEE Sensors, SENSORS 2020 - Virtual, Rotterdam, Netherlands
Duration: Oct 25 2020Oct 28 2020

Publication series

NameProceedings of IEEE Sensors
Volume2020-October
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference2020 IEEE Sensors, SENSORS 2020
Country/TerritoryNetherlands
CityVirtual, Rotterdam
Period10/25/2010/28/20

Keywords

  • energy efficient
  • odor source detection
  • plume tracking
  • quadcopter
  • sniffing

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