Tracking Physics: A Virtual Platform for 3D Object Tracking in Tactile Internet Applications

Bachelor Thesis (2023)
Author(s)

Y. Chen (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Rangarao Venkatesha Prasad – Mentor (TU Delft - Networked Systems)

Michael Weinmann – Graduation committee member (TU Delft - Computer Graphics and Visualisation)

Herman Kroep – Mentor (TU Delft - Networked Systems)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2023 Yue Chen
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Yue Chen
Graduation Date
28-06-2023
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Tactile Internet (TI) is a pioneering network paradigm that aims to communicate haptic feedback with ultra-low latency. It will enable new ways for us to interact with remote environments, such as transferring skills over the network and controlling remote objects. One crucial component of this framework is the ability to track the position and movement of remote objects. While there are many tracking algorithms, evaluating them in TI applications can be time-consuming, expensive, and sometimes impractical. Hence, we present a virtual platform for developing, evaluating, and comparing tracking solutions. We demonstrate how our platform can be used to tune tracking algorithms and determine trade-offs between different types of hardware. In turn, this provides insights that were previously difficult to obtain using real physical platforms, as real world coordinates may not align with virtual coordinates and experiments are not easily repeatable.

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