6 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.…
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,…
FTIN: Frequency-Time Integration Network for Inertial Odometry
Shanshan Zhang, Qi Zhang, Siyue Wang +7
Inertial odometry (IO) leverages inertial measurement unit (IMU) signals for cost-effective localization. However, high IMU sampling rates introduce substantial redundancy that imp…
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…
StarIO: A Lightweight Inertial Odometry for Nonlinear Motion
Shanshan Zhang, Siyue Wang, Qi Zhang Liqin Wu +5
Inertial odometry (IO) directly estimates the position of a carrier from inertial sensor measurements and serves as a core technology for the widespread deployment of consumer grad…