Estimating odometry scale and UWB anchor location based on semidefinite programming optimization

In this letter, we study the problem of estimating the unknown metric scale of an odometry system and the 3D location of an Ultra-wideband (UWB) anchor in the environment. Firstly, we present a theoretical analysis of the problem which includes the derivation of Fisher Information Matrix (FIM) and i...

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Main Authors: Nguyen, Thien Hoang, Xie, Lihua
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/163296
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author Nguyen, Thien Hoang
Xie, Lihua
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Nguyen, Thien Hoang
Xie, Lihua
author_sort Nguyen, Thien Hoang
collection NTU
description In this letter, we study the problem of estimating the unknown metric scale of an odometry system and the 3D location of an Ultra-wideband (UWB) anchor in the environment. Firstly, we present a theoretical analysis of the problem which includes the derivation of Fisher Information Matrix (FIM) and its determinant. Secondly, based on the FIM we provide an evaluation and geometric interpretation of singular configurations. Thirdly, we present an estimation-Trajectory optimization framework, which consists of a semidefinite programming (SDP) relaxation approach that solves the problem more effectively by exploiting the relationship between the parameters, and an FIM-based trajectory optimization approach that aims to minimize the uncertainty volume while remains easily adaptable to various scenarios. Simulation results show that our estimation method is more accurate and robust than previous approaches, while our trajectory optimization method can improve the estimator's performance even under challenging constraints.
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spelling ntu-10356/1632962022-11-30T06:53:16Z Estimating odometry scale and UWB anchor location based on semidefinite programming optimization Nguyen, Thien Hoang Xie, Lihua School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Sensor Fusion Visual Odometry In this letter, we study the problem of estimating the unknown metric scale of an odometry system and the 3D location of an Ultra-wideband (UWB) anchor in the environment. Firstly, we present a theoretical analysis of the problem which includes the derivation of Fisher Information Matrix (FIM) and its determinant. Secondly, based on the FIM we provide an evaluation and geometric interpretation of singular configurations. Thirdly, we present an estimation-Trajectory optimization framework, which consists of a semidefinite programming (SDP) relaxation approach that solves the problem more effectively by exploiting the relationship between the parameters, and an FIM-based trajectory optimization approach that aims to minimize the uncertainty volume while remains easily adaptable to various scenarios. Simulation results show that our estimation method is more accurate and robust than previous approaches, while our trajectory optimization method can improve the estimator's performance even under challenging constraints. National Research Foundation (NRF) This work was supported by the National Research Foundation , Singapore under its Medium Sized Center for Advanced Robotics Technology Innovation. 2022-11-30T06:53:16Z 2022-11-30T06:53:16Z 2022 Journal Article Nguyen, T. H. & Xie, L. (2022). Estimating odometry scale and UWB anchor location based on semidefinite programming optimization. IEEE Robotics and Automation Letters, 7(3), 7359-7366. https://dx.doi.org/10.1109/LRA.2022.3182110 2377-3766 https://hdl.handle.net/10356/163296 10.1109/LRA.2022.3182110 2-s2.0-85132791118 3 7 7359 7366 en IEEE Robotics and Automation Letters © 2022 IEEE. All rights reserved.
spellingShingle Engineering::Electrical and electronic engineering
Sensor Fusion
Visual Odometry
Nguyen, Thien Hoang
Xie, Lihua
Estimating odometry scale and UWB anchor location based on semidefinite programming optimization
title Estimating odometry scale and UWB anchor location based on semidefinite programming optimization
title_full Estimating odometry scale and UWB anchor location based on semidefinite programming optimization
title_fullStr Estimating odometry scale and UWB anchor location based on semidefinite programming optimization
title_full_unstemmed Estimating odometry scale and UWB anchor location based on semidefinite programming optimization
title_short Estimating odometry scale and UWB anchor location based on semidefinite programming optimization
title_sort estimating odometry scale and uwb anchor location based on semidefinite programming optimization
topic Engineering::Electrical and electronic engineering
Sensor Fusion
Visual Odometry
url https://hdl.handle.net/10356/163296
work_keys_str_mv AT nguyenthienhoang estimatingodometryscaleanduwbanchorlocationbasedonsemidefiniteprogrammingoptimization
AT xielihua estimatingodometryscaleanduwbanchorlocationbasedonsemidefiniteprogrammingoptimization