Article
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IMU Networks for Trajectory Reconstruction in Logistics Applications
Version 1
: Received: 18 July 2023 / Approved: 18 July 2023 / Online: 20 July 2023 (04:42:01 CEST)
A peer-reviewed article of this Preprint also exists.
Sequeira, J.S. IMU Networks for Trajectory Reconstruction in Logistics Applications. Sensors 2023, 23, 7838. Sequeira, J.S. IMU Networks for Trajectory Reconstruction in Logistics Applications. Sensors 2023, 23, 7838.
Abstract
This paper discusses the use of networks of Inertial Measurement Units (IMU) for the reconstruction of trajectories from sensor data. Logistics is a natural application domain, to verify the quality of the handling of goods. This is a mass application and the economics of logistics impose that IMUs to be used must be low cost and use basic computational devices. The approach in the paper converts a strategy from the literature, used in the multi-target following problem, to reaching a consensus in a network of IMUs. The paper presents results on how to achieve the consensus in trajectory reconstruction, along with covariance intersection data fusion of the information obtained by all nodes in the network.
Keywords
Trajectory reconstruction; Inertial Measurement Unit; Linear Matrix Inequalities; Covariance Intersection; Target Following
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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