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...
| Главные авторы: | , |
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| Формат: | Статья |
| Опубликовано: |
Robotics: Science and Systems Foundation
2018
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| Online-ссылка: | http://hdl.handle.net/1721.1/115978 https://orcid.org/0000-0003-3765-2021 https://orcid.org/0000-0002-8293-0492 |