Robust Target-relative Localization with Ultra-Wideband Ranging and Communication

Thien-Minh Nguyen, Abdul Hanif Zaini, Chen Wang, Kexin Guo, Lihua Xie
2/25/2018
eess.SYcs.RO

Official code: sair-lab/correlation_flow (36 stars, GPL-3.0, last commit 2021-07-26). 1 more implementation below.

Abstract

In this paper we propose a method to achieve relative positioning and tracking of a target by a quadcopter using Ultra-wideband (UWB) ranging sensors, which are strategically installed to help retrieve both relative position and bearing between the quadcopter and target. To achieve robust localization for autonomous flight even with uncertainty in the speed of the target, two main features are developed. First, an estimator based on Extended Kalman Filter (EKF) is developed to fuse UWB ranging measurements with data from onboard sensors including inertial measurement unit (IMU), altimeters and optical flow. Second, to properly handle the coupling of the target's orientation with the range measurements, UWB based communication capability is utilized to transfer the target's orientation to the quadcopter. Experiment results demonstrate the ability of the quadcopter to control its position relative to the target autonomously in both cases when the target is static and moving.

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Code Implementations(2)

GPL-3.0

[ICRA 2018] Correlation Flow: Robust Optical Flow using Kernel Cross-Correlators

3613C++, CMakeFeb 22, 20175 years agoGPL-3.0
correlation-flowicra2018kernel-cross-correlatorsoptical-flowrobotics+1 more
298MATLABMay 30, 20197 years ago

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Cite this paper

@article{nguyen2018robust,
  title  = {Robust Target-relative Localization with Ultra-Wideband Ranging and Communication},
  author = {Thien-Minh Nguyen and Abdul Hanif Zaini and Chen Wang and Kexin Guo and Lihua Xie},
  year   = {2018},
  eprint = {1802.08953},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1802.08953}
}

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