Safe Visual Navigation via Deep Learning and Novelty Detection

Robots that use learned perceptual models in the real world must be able to safely handle cases where they are forced to make decisions in scenarios that are unlike any of their training examples. However, state-of-the-art deep learning methods are known to produce erratic or unsafe prediction...

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Bibliographic Details
Main Authors: Richter, Charles Andrew, Roy, Nicholas
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Published: Robotics: Science and Systems Foundation 2018
Online Access:http://hdl.handle.net/1721.1/115978
https://orcid.org/0000-0003-3765-2021
https://orcid.org/0000-0002-8293-0492