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20212023
most citedEnhancing Inertial Navigation Performance via Fusion of Classical and Quantum Accelerometers

9 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2023★ 1 cited

RIOT: Recursive Inertial Odometry Transformer for Localisation from Low-Cost IMU Measurements

James Brotchie, Wenchao Li, Andrew D. Greentree +1

Inertial localisation is an important technique as it enables ego-motion estimation in conditions where external observers are unavailable. However, low-cost inertial sensors are i…

math.OC2023★ 2 cited

Quantum diamond magnetometry for navigation in GNSS denied environments

Xuezhi Wang, Wenchao Li, Bill Moran +5

In this paper, a probabilistic method for map matching localisation based on magnetometery measurement and total magnetic intensity maps is described. We show that the method is ab…

cs.RO2022

Gravity aided navigation using Viterbi map matching algorithm

Wenchao Li, Christopher Gilliam, Xuezhi Wang +3

In GNSS-denied environments, aiding a vehicle's inertial navigation system (INS) is crucial to reducing the accumulated navigation drift caused by sensor errors (e.g. bias and nois…

cs.RO2022

Probabilistic Map Matching for Robust Inertial Navigation Aiding

Xuezhi Wang, Christopher Gilliam, Allison Kealy +2

Robust aiding of inertial navigation systems in GNSS-denied environments is critical for the removal of accumulated navigation error caused by the drift and bias inherent in inerti…

quant-ph2021★ 7 cited

En route to nanoscopic quantum optical imaging: counting emitters with photon-number-resolving detectors

Shuo Li, Wenchao Li, Vladislav V. Yakovlev +2

Fundamental understanding of biological pathways requires minimally invasive nanoscopic optical resolution imaging. Many approaches to high-resolution imaging rely on localization…

quant-ph2021★ 9 cited

Enhancing Inertial Navigation Performance via Fusion of Classical and Quantum Accelerometers

Xuezhi Wang, Allison Kealy, Christopher Gilliam +11

While quantum accelerometers sense with extremely low drift and low bias, their practical sensing capabilities face two limitations compared with classical accelerometers: a lower…