Variational end-to-end navigation and localization

Variational end-to-end navigation and localization

Deep learning has revolutionized the ability to learn 'end-to-end' autonomous vehicle control directly from raw sensory data. While there have been recent extensions to handle forms of navigation instruction, these works are unable to capture the full distribution of possible actions that...

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Bibliographic Details
Main Authors: Amini, Alexander A (Author), Karaman, Sertac (Author), Rus, Daniela L (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: IEEE, 2020-08-12T16:35:22Z.
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