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AERPAW Vehicles: Hardware and Software Choices

Published: 27 June 2022 Publication History

Abstract

AERPAW (Aerial Experimentation and Research Platform for Advanced Wireless) is an advanced wireless research platform centered around fully programmable radios and fully programmable vehicles. In this paper we detail the vehicle aspects of the testbed, including the AERPAW UAVs, UGVs, as well as the hardware and software choices made by the team, as well as our experience earned in the past few years.

References

[1]
G. Bielsa, M. Mezzavilla, J. Widmer, and S. Rangan, “Performance assessment of off-the-shelf mm wave radios for drone communications,” in 2019 IEEE 20th International Symposium on" A World of Wireless, Mobile and Multimedia Networks"(WoWMoM), pp. 1–3, IEEE, 2019.
[2]
A. S. Abdalla, A. Yingst, K. Powell, A. Gelonch-Bosch, and V. Marojevic, “Open source software radio platform for research on cellular networked UAVs: It works!,” IEEE Communications Magazine, vol. 60, no. 2, pp. 60–66, 2022.
[3]
J. Buczek, L. Bertizzolo, S. Basagni, and T. Melodia, “What is a wireless UAV? a design blueprint for 6G flying wireless nodes,” in Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization, pp. 24–30, 2022.
[4]
“The cube orange overview.” https://ardupilot.org/copter/docs/common-thecubeorange-overview.html.
[5]
“The ArduPilot web page.” https://ardupilot.org.
[6]
“The PX4 web page.” https://px4.io.
[7]
“MAVLink - micro air vehicle communication protocol.” https://mavlink.io/en/.
[8]
“Pymavlink github repository.” https://github.com/ArduPilot/pymavlink.
[9]
“DroneKit SDK.” https://dronekit.io/.
[10]
“AERPAW vehicle library github repository.” https://github.com/morzack/aerpawlib-vehicle-control.

Cited By

View all
  • (2023)End-to-End Full-Stack Drone Measurements: A Case Study Using AERPAW2023 IEEE International Conference on Communications Workshops (ICC Workshops)10.1109/ICCWorkshops57953.2023.10283735(1422-1427)Online publication date: 28-May-2023
  • (2023)AERIQ: SDR-Based LTE I/Q Measurement and Analysis Framework for Air-to-Ground Propagation Modeling2023 IEEE Aerospace Conference10.1109/AERO55745.2023.10115787(1-11)Online publication date: 4-Mar-2023

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  1. AERPAW Vehicles: Hardware and Software Choices

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    Published In

    cover image ACM Conferences
    DroNet '22: Proceedings of the Eighth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications
    July 2022
    47 pages
    ISBN:9781450394055
    DOI:10.1145/3539493
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    New York, NY, United States

    Publication History

    Published: 27 June 2022

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    Author Tags

    1. AERPAW
    2. UAV
    3. UGV

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    • Research-article

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    MobiSys '22
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    DroNet '22 Paper Acceptance Rate 7 of 7 submissions, 100%;
    Overall Acceptance Rate 29 of 50 submissions, 58%

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    View all
    • (2023)End-to-End Full-Stack Drone Measurements: A Case Study Using AERPAW2023 IEEE International Conference on Communications Workshops (ICC Workshops)10.1109/ICCWorkshops57953.2023.10283735(1422-1427)Online publication date: 28-May-2023
    • (2023)AERIQ: SDR-Based LTE I/Q Measurement and Analysis Framework for Air-to-Ground Propagation Modeling2023 IEEE Aerospace Conference10.1109/AERO55745.2023.10115787(1-11)Online publication date: 4-Mar-2023

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