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Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception

Toubeh, Maymoonah I.Virginia Tech2018

… This work proposes the use of Bayesian approximations of uncertainty from deep learning in a robot planner, showing that this produces more cautious actions in safety-critical scenarios. The case study investigated is motivated by a setup where an aerial robot acts as a "scout'' for a …

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