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\textbf{PLATO}: \emph{Preintegration Learning from Accurate Trajectory Observations} for Neural Inertial Odometry
Haoying Li, Qihang Liu, Yifan Peng +2
Neural inertial odometry has demonstrated strong potential for motion estimation in challenging environments, yet inertial-only preintegration remains sensitive to IMU bias and unc…
A High-accuracy Event-based Underwater SLAM System
Yifan Peng, Qihang Liu, Haoying Li +3
While event cameras offer immense potential for underwater SLAM, existing Time Surface (TS)-based methods prove highly unreliable when deployed underwater. Fluctuating camera veloc…
Supervisory Measurement-Guided Noise Covariance Estimation
Haoying Li, Yifan Peng, Xinghan Li +1
Reliable state estimation hinges on accurate specification of sensor noise covariances, which weigh heterogeneous measurements. In practice, these covariances are difficult to iden…
AquaticVision: Benchmarking Visual SLAM in Underwater Environment with Events and Frames
Yifan Peng, Yuze Hong, Ziyang Hong +2
Many underwater applications, such as offshore asset inspections, rely on visual inspection and detailed 3D reconstruction. Recent advancements in underwater visual SLAM systems fo…