3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.RO2022
Deep Learning-based Inertial Odometry for Pedestrian Tracking using Attention Mechanism and Res2Net Module
Boxuan Chen, Ruifeng Zhang, Shaochu Wang +2
Pedestrian dead reckoning is a challenging task due to the low-cost inertial sensor error accumulation. Recent research has shown that deep learning methods can achieve impressive…
eess.SP2022
Pedestrian Dead Reckoning System using Quasi-static Magnetic Field Detection
Liqiang Zhang, Kai Guo, Yu Liu
Kalman filter-based Inertial Navigation System (INS) is a reliable and efficient method to estimate the position of a pedestrian indoors. Classical INS-based methodology which is c…
cs.CV2021★ 3 cited
Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition
Qingyuan Gong, Yu Liu, Liqiang Zhang +1
Visual place recognition (VPR) is a challenging task with the unbalance between enormous computational cost and high recognition performance. Thanks to the practical feature extrac…