3 papers
cs.RO2026
DINS-IO: Learned Inertial Odometry via Differentiable INS Consistency
Hao Qiao, Yan Wang, Jian Kuang +1
The training of learned inertial odometry depends on dense, high-precision position ground truth from motion capture, visual-inertial odometry or SLAM, which is costly and hard to…
cs.RO2025
MoE-Based Learned Inertial Odometry for Bicycle Localization
Hao Qiao, Yan Wang, Shuo Yang +3
GNSS suffers from multipath errors in urban canyons, making reliable bicycle localization difficult. Hand-crafted inertial alternatives, such as cycling dead reckoning and nonholon…
hep-ex2025
JUNO Sensitivity to Invisible Decay Modes of Neutrons
JUNO Collaboration, Angel Abusleme, Thomas Adam +651
We explore the decay of bound neutrons into invisible particles (e.g., or ) in the JUNO liquid scintillator detector, which do not produce…