7 papers
The Setting of IMU Parameters in Kalman Filtering-based Information Fusion
Qiang Hu, Yanhua Zou, Shuaiyi Huo +2
The setting or tuning of specifications for the inertial measurement unit (IMU) is tricky in sensor fusion. The underneath conundrum is caused by the fact that the working conditio…
Meta-learning-enhanced implicit full waveform inversion
Zefeng Wang, Shijun Cheng, Weijian Mao +2
Implicit full waveform inversion (IFWI) introduces implicit neural representations to parameterize the subsurface velocity model as a continuous function of spatial coordinates, wh…
Adaptive Self-Supervised Surface-Related Multiple Suppression
Huan Song, Shijun Cheng, Huanhuan Tang +2
Effective suppression of surface-related multiples is essential to prevent imaging artifacts and erroneous structural interpretations. While conventional approaches rely on accurat…
CT-ESKF: A General Framework of Covariance Transformation-Based Error-State Kalman Filter
Jiale Han, Wei Ouyang, Maoran Zhu +1
Invariant extended Kalman filter (InEKF) possesses excellent trajectory-independent property and better consistency compared to conventional extended Kalman filter (EKF). However,…
A Multi-view Landmark Representation Approach with Application to GNSS-Visual-Inertial Odometry
Tong Hua, Jiale Han, Wei Ouyang
Invariant Extended Kalman Filter (IEKF) has been a significant technique in vision-aided sensor fusion. However, it usually suffers from high computational burden when jointly opti…
Inhomogeneous plane waves in attenuative anisotropic porous media
Lingli Gao, Weijian Mao, Qianru Xu +3
We investigate the propagation of inhomogeneous plane waves in poro-viscoelastic media, explicitly incorporating both velocity and attenuation anisotropy. Starting from classical B…