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Dronevision: An Experimental 3D Testbed for Flying Light Specks: Related Workby@instancing
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Dronevision: An Experimental 3D Testbed for Flying Light Specks: Related Work

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July 1st, 2024
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Flying Light Specks (FLS) are transforming multimedia systems, inspired by innovations in Claytronics and BitDrones. Explore their applications in 3D displays, haptic interactions, and user safety within experimental testbeds, driving future multimedia advancements.
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Academic Research Paper

Academic Research Paper

Part of HackerNoon's growing list of open-source research papers, promoting free access to academic material.

Authors:

(1) Hamed Alimohammadzadeh, University of Southern California, Los Angeles, USA;

(2) Rohit Bernard, University of Southern California, Los Angeles, USA;

(3) Yang Chen, University of Southern California, Los Angeles, USA;

(4) Trung Phan, University of Southern California, Los Angeles, USA;

(5) Prashant Singh, University of Southern California, Los Angeles, USA;

(6) Shuqin Zhu, University of Southern California, Los Angeles, USA;

(7) Heather Culbertson, University of Southern California, Los Angeles, USA;

(8) Shahram Ghandeharizadeh, University of Southern California, Los Angeles, USA.

Abstract and Introduction

Flying Light Specks

User Interaction

Multimedia Systems Challenges

Related Work

Conclusions and Current Efforts, Acknowledgments, and References

A DV is in the same class of systems as fast 3D printing [21], Claytronics as physical artifacts using programmable matter consisting of catoms [28], Roboxels as cellular robots that dynamically configure themselves into the desired shape and size [42], BitDrones [29] and GridDrones [11] as interactive nano-drones, and Flying Light Specks (FLSs) as miniature drones with RGB light sources that fly as swarms to illuminate a virtual object [3, 25–27]. These studies use either analytical models, simulation studies, a lab setting, or a hybrid of these to demonstrate their design decisions and to quantify their tradeoffs. A DV is a much needed experimental testbed to implement and evaluate these techniques for multimedia applications using drones. Its modular design decisions and haptic user interactions raise many challenging multimedia systems research topics. If successful, it will contribute to the multimedia content creator’s experience in a rich and meaningful fashion while preserving their safety. It enables them to develop safe applications with complex and intertwined instances of different kinds of information including 3D acoustics, illuminations, and haptic interactions.


The concept of 3D displays using FLSs is introduced in [25]. These FLSs require sensors to measure small distances in order to create 3D formations for visual and haptic displays. An evaluation of three different types of sensors to measure 1 centimeter distances is presented in [52]. User safety during interaction with a room size display with materialized objects is also important to creating effective interactions; we discuss potential safety considerations in [27]. An architecture of an FLS system is presented in [26], which introduces key components necessary to realize a successful implementation, including Motill to compute the flight path of FLSs to render a motion illumination, STAG as a battery charging technique, and use of standby FLSs to tolerate FLS failures [26]. This architecture may use the data model of [3] to store the flight paths of an algorithm such as Motill in a file. A sequence that is displayed repeatedly may read the file instead of executing the resource intensive Motill algorithm [3]. A DV is a small-scale experimental testbed for FLSs to realize the vision of a Holodeck in science fiction shows and as described in [25]. It builds on these prior studies with its novel use of disaggregated FLSs and a modular framework that emphasizes user safety. Additionally, a DV uses a swarm of FLSs to amplify force for haptic interactions, creating the important and novel challenges of localization and acoustics.


Figure 8: Quantifying force generated by a drone.

Figure 8: Quantifying force generated by a drone.


This paper is available on arxiv under CC 4.0 license.


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