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机译:基于学习的非合作航天器姿态估计与不确定性预测
Beihang Univ;
Beijing Key Lab Digital Media;
Minist EducBeihang Univ;
pose estimation; uncertainty prediction; keypoint detection; non-cooperative spacecrafts; deep learning; ATTITUDE;
机译:Delft University of Technology Reports Findings in Networks (Leveraging Neural Network Uncertainty In Adaptive Unscented Kalman Filter for Spacecraft Pose Estimation)
机译:Pose measurement and motion estimation of non-cooperative satellite based on spatial circle feature
机译:Weighted total least squares–Bayes filter-based estimation of relative pose for a space non-cooperative unknown target without a priori knowledge
机译:Machine Learning-Based Software Quality Prediction Models: State of the Art
机译:Cooperative and Non-cooperative RD policies Under spillover Uncertainty