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dc.contributor.advisorDiller, Jonathan
dc.contributor.advisorHan, Qi
dc.contributor.authorFellinge, Cody J.
dc.contributor.authorSchanker, Corey
dc.contributor.authorBarigala, Priestly
dc.contributor.authorMoon, Ava
dc.date2024-04
dc.date.accessioned2024-05-08T22:04:36Z
dc.date.available2024-05-08T22:04:36Z
dc.identifier.urihttps://hdl.handle.net/11124/179050
dc.identifier.urihttps://doi.org/10.25676/11124/179050
dc.description.abstractDrones can be used as data mules to collect data from wireless sensors to mitigate issues found in traditional ground-based networks. However, there are many open challenges to address in this problem that our team has been working on. We have developed a physical testbed for experiments, performed data collection to determine limitations on range and amounts of data, implemented an energy model into ArduPilot, and optimized the energy budget for offline and online planning.
dc.format.mediumposters
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartof2024 Spring Undergraduate Research Symposium
dc.rightsCopyright of the original work is retained by the author.
dc.titleHolistic approach for multi-drone data collection
dc.typeText
dc.typeStillImage


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