activity
20182022
most citedSelective Sensor Fusion for Neural Visual-Inertial Odometry

6 citations · 15 across the 6 of their papers we have counts for

collaborators

13 papers

cs.CV2022

EMA-VIO: Deep Visual-Inertial Odometry with External Memory Attention

Zheming Tu, Changhao Chen, Xianfei Pan +3

Accurate and robust localization is a fundamental need for mobile agents. Visual-inertial odometry (VIO) algorithms exploit the information from camera and inertial sensors to esti…

cond-mat.str-el20221 cited

The boundaries of 2+1D fermionic topological orders

Chang-Han Chen, Xiao-Gang Wen

D bosonic topological orders can be characterized by the matrices that encode the statistics of topological excitations. In particular, the matrices can be used to…

math.NT2020

Metric theory of Weyl sums

Changhao Chen, Bryce Kerr, James Maynard +1

We prove that there exist positive constants and such that for any integer the set of satisfying $$ cN^{1/2}\le \left|\sum^N_{n=1}\exp\le…

cs.RO20204 cited

Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference

Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu +3

Modern inertial measurements units (IMUs) are small, cheap, energy efficient, and widely employed in smart devices and mobile robots. Exploiting inertial data for accurate and reli…

eess.SP2019

See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radar

Chris Xiaoxuan Lu, Stefano Rosa, Peijun Zhao +5

This paper presents the design, implementation and evaluation of milliMap, a single-chip millimetre wave (mmWave) radar based indoor mapping system targetted towards low-visibility…

cs.CV20191 cited

AtLoc: Attention Guided Camera Localization

Bing Wang, Changhao Chen, Chris Xiaoxuan Lu +3

Deep learning has achieved impressive results in camera localization, but current single-image techniques typically suffer from a lack of robustness, leading to large outliers. To…