Guangjun Hao

IMMNN: Robust Wireless Electromagnetic-Inertial Fusion Tracking via Learning An Adaptive IMM

Wireless Electromagnetic Tracking (WEMT) enables non-line-of-sight (NLoS) pose estimation in robotics but faces accuracy limitations from restricted operational range and environmental interference. This paper proposes a WEMT-inertial fusion system enhanced by a learning-based Interacting Multiple M