Xiaoqiang Teng — accepted AI-conference papers

2025

DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement

Xiaoqiang Teng, Chenyang Li, Shibiao Xu, Zhihao Hao, Deke Guo, Jingyuan Li +3

IJCAI 2025

Inertial navigation enables self-contained localization using only Inertial Measurement Units (IMUs), making it widely applicable in various domains such as navigation, augmented reality, and robotics. However, existing methods suffer from drift accumulation due to the sensor noise and difficulty ca

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2020

ARPDR: An Accurate and Robust Pedestrian Dead Reckoning System for Indoor Localization on Handheld Smartphones

Xiaoqiang Teng, Pengfei Xu, Deke Guo, Yulan Guo, Runbo Hu, Hua Chai +1

IROS 2020poster

The proliferation of mobile computing has prompted Pedestrian Dead Reckoning (PDR) to be one of the most attractive and promising indoor localization techniques for ubiquitous applications. The existing PDR approaches either suffer position drifts caused by accumulative errors or are sensitive to va…

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