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Design and validation of a system for targeted observations of tornadic supercells using unmanned aircraft.

, , , and . IROS, page 101-106. IEEE, (2010)

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Unmanned aircraft systems for communication and atmospheric sensing missions., , , , and . ACC, page 1482-1487. IEEE, (2013)Machine Self-confidence in Autonomous Systems via Meta-analysis of Decision Processes., , , , and . AHFE (14), volume 965 of Advances in Intelligent Systems and Computing, page 213-223. Springer, (2019)Energy efficient UAS flight planning for characterizing features of supercell thunderstorms., and . ICRA, page 6555-6560. IEEE, (2014)Net-Centric Communication and Control for a Heterogeneous Unmanned Aircraft System., , , , and . J. Intell. Robotic Syst., 56 (1-2): 199-232 (2009)Machine Self-Confidence in Autonomous Systems via Meta-Analysis of Decision Processes., , , , and . CoRR, (2018)An Energy-Aware Airborne Dynamic Data-Driven Application System for Persistent Sampling and Surveillance., , , , and . ICCS, volume 18 of Procedia Computer Science, page 2008-2017. Elsevier, (2013)Embedded Reasoning for Atmospheric Science Using Unmanned Aircraft Systems., and . AAAI Spring Symposium: Embedded Reasoning, AAAI, (2010)Evaluation of Unmanned Aircraft Systems for Severe Storm Sampling Using Hardware-in-the-Loop Simulations., , , , and . J. Aerosp. Comput. Inf. Commun., 8 (9): 269-294 (2011)Design and validation of a system for targeted observations of tornadic supercells using unmanned aircraft., , , and . IROS, page 101-106. IEEE, (2010)Ä Good Bot Always Knows Its Limitations": Assessing Autonomous System Decision-making Competencies through Factorized Machine Self-confidence., , , , , and . CoRR, (2024)