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cs.RO2025
Learning IMU Bias with Diffusion Model
Shenghao Zhou, Saimouli Katragadda, Guoquan Huang
Motion sensing and tracking with IMU data is essential for spatial intelligence, which however is challenging due to the presence of time-varying stochastic bias. IMU bias is affec…
cs.RO2023★ 1 cited
NeRF-VINS: A Real-time Neural Radiance Field Map-based Visual-Inertial Navigation System
Saimouli Katragadda, Woosik Lee, Yuxiang Peng +5
Achieving efficient and consistent localization a prior map remains challenging in robotics. Conventional keyframe-based approaches often suffers from sub-optimal viewpoints due to…