Dronevision: An Experimental 3D Testbed for Flying Light Specks
Hamed Alimohammadzadeh, Rohit Bernard, Yang Chen, Trung Phan, Prashant, Singh, Shuqin Zhu, Heather Culbertson, Shahram Ghandeharizadeh

TL;DR
Dronevision proposes a compact, desk-sized 3D drone testbed with network-enabled miniature drones and localization technology, enabling accessible development and testing of 3D multimedia and virtual illumination systems.
Contribution
This paper introduces the Dronevision concept, a small, affordable 3D drone testbed that facilitates decentralized algorithms and virtual illumination development in office environments.
Findings
Conceptual design of a desk-sized 3D drone testbed.
Potential for decentralized 3D multimedia system development.
Enhanced safety and productivity for researchers.
Abstract
Today's robotic laboratories for drones are housed in a large room. At times, they are the size of a warehouse. These spaces are typically equipped with permanent devices to localize the drones, e.g., Vicon Infrared cameras. Significant time is invested to fine-tune the localization apparatus to compute and control the position of the drones. One may use these laboratories to develop a 3D multimedia system with miniature sized drones configured with light sources. As an alternative, this brave new idea paper envisions shrinking these room-sized laboratories to the size of a cube or cuboid that sits on a desk and costs less than 10K dollars. The resulting Dronevision (DV) will be the size of a 1990s Television. In addition to light sources, its Flying Light Specks (FLSs) will be network-enabled drones with storage and processing capability to implement decentralized algorithms. The DV…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotics and Sensor-Based Localization · 3D Surveying and Cultural Heritage · Advanced Vision and Imaging
