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Kuroda Yoji
Department Undergraduate School , School of Science and Technology Position Professor |
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| Language | English |
| Publication Date | 2021/03 |
| Type | Academic Journal |
| Peer Review | Peer reviewed |
| Title | EKF-based self-attitude estimation with DNN learning landscape information |
| Contribution Type | Co-authored (other than first author) |
| Journal | Robomech Journal |
| Journal Type | Another Country |
| Publisher | Springer |
| Volume, Issue, Page | 8(9) |
| Authorship | Last author,Corresponding author |
| Author and coauthor | Ryota Ozaki, Yoji KURODA |
| Details | This paper presents an EKF-based self-attitude estimation with a DNN (deep neural network) learning landscape information. The method integrates gyroscopic angular velocity and DNN inference in the EKF. The DNN predicts a gravity vector in a camera frameThis paper presents an EKF-based self-attitude estimation with a DNN (deep neural network) learning landscape information. The method integrates gyroscopic angular velocity and DNN inference in the EKF. The DNN predicts a gravity vector in a camera frame. |
| URL for researchmap | https://robomechjournal.springeropen.com/articles/10.1186/s40648-021-00196-3 |