5 papers
FDIO: Frequency Decomposed Inertial Odometry
Shanshan Zhang, Liqin Wu, Wenying Cao +2
Pedestrian inertial odometry (PIO) estimates autonomous pedestrian motion using only acceleration and angular velocity measurements collected by an inertial measurement unit (IMU),…
TinyIO: Lightweight Reparameterized Inertial Odometry
Shanshan Zhang, Siyue Wang, Mengzi Chen +4
Inertial odometry (IO) is a widely used approach for localization on mobile devices; however, obtaining a lightweight IO model that also achieves high accuracy remains challenging.…
Innovative Tooth Segmentation Using Hierarchical Features and Bidirectional Sequence Modeling
Xinxin Zhao, Jian Jiang, Yan Tian +5
Tooth image segmentation is a cornerstone of dental digitization. However, traditional image encoders relying on fixed-resolution feature maps often lead to discontinuous segmentat…
CKANIO: Learnable Chebyshev Polynomials for Inertial Odometry
Shanshan Zhang, Siyue Wang, Tianshui Wen +7
Inertial odometry (IO) relies exclusively on signals from an inertial measurement unit (IMU) for localization and offers a promising avenue for consumer grade positioning. However,…
IONext: Unlocking the Next Era of Inertial Odometry
Shanshan Zhang, Qi Zhang, Siyue Wang +7
Researchers have increasingly adopted Transformer-based models for inertial odometry. While Transformers excel at modeling long-range dependencies, their limited sensitivity to loc…