MPDrone: FPGA-based Platform for Intelligent Real-time Autonomous Drone Operations

Balint Barna Kövari, Emad Ebeid*

*Kontaktforfatter

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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Abstract

AI-based autonomous onboard drone applications are evolving rapidly and demand dedicated hardware resources to perform effectively. Currently, CPUs and GPUs are commonly used to run these applications.
This paper presents a novel drone platform called MPDrone based on the cutting-edge MPSoC boards that combine FPGA, CPU, and GPU in a single chip.
The proposed platform utilizes the reconfigurable FPGA chip to run heavy AI algorithms and the CPU to execute ROS for processing communication with the drone flight controller and onboard sensors.
The paper introduces the design and implementation of the MPDrone platform, which is validated in simulation and real-world testing through an intelligent object detection and landing use case. The testing results proved the applicability of the proposed FPGA-based platform for AI applications.
OriginalsprogEngelsk
Titel2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
ForlagIEEE
Publikationsdato2021
Sider71-76
ISBN (Elektronisk)978-1-6654-1764-8
DOI
StatusUdgivet - 2021
Begivenhed2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) - New York University, Manhattan Campus, New York, USA
Varighed: 25. okt. 202127. okt. 2021
https://wp.nyu.edu/ssrr2021/

Konference

Konference2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
LokationNew York University, Manhattan Campus
Land/OmrådeUSA
ByNew York
Periode25/10/202127/10/2021
Internetadresse

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