Kuroda Yoji
   Department   Undergraduate School  , School of Science and Technology
   Position   Professor
Language English
Publication Date 2021/04
Type Academic Journal
Peer Review Peer reviewed
Title EKF-Based Real-Time Self-Attitude Estimation With Camera DNN Learning Landscape Regularities
Contribution Type Co-authored (other than first author)
Journal IEEE Robotics and Automation Letters
Journal TypeAnother Country
Publisher IEEE
Volume, Issue, Page 6(2),pp.1737-1744
Total page number 8
Authorship Last author,Corresponding author
Author and coauthor Ryota Ozaki, Yoji Kuroda
Details This letter presents an EKF (extended Kalman filter) based real-time self-attitude estimation method with a camera DNN (deep neural network) learning landscape regularities.
URL for researchmap https://ieeexplore.ieee.org/document/9359333