ReconfROS: Running ROS on reconfigurable SoCs

Autor(en): Eisoldt, M.
Hinderink, S.
Tassemeier, M.
Flottmann, M.
Vana, J.
Wiemann, T. 
Gaal, J.
Rothmann, M.
Porrmann, M. 
Stichwörter: Computer hardware; Drones; Field programmable gate arrays (FPGA); FPGA; Lowpower hardware; Path Detection; Path-following algorithm; Proof of concept; Reconfigurable; Robot operating systems (ROS); ROS; SoC; Systems engineering, Hardware-accelerated; UAV; UGV; Unmanned ground vehicles, Intelligent vehicle highway systems
Erscheinungsdatum: 2021
Herausgeber: Association for Computing Machinery
Journal: ACM International Conference Proceeding Series
Startseite: 16
Seitenende: 21
Zusammenfassung: 
In this paper, we present an approach to integrate reconfigurable SoCs into the well known Robot Operating System (ROS). Our method allows to implement hardware-accelerated algorithms on FPGA and integrate them directly into the ROS ecosystem. This allows to combine the established and well tested ROS infrastructure together with low-power hardware acceleration. As a proof-of-concept for this novel integration, we ported an existing path-following algorithm onto an FPGA and tested it on an unmanned ground vehicle (UGV). © 2021 ACM.
Beschreibung: 
Conference of 2021 Worshop on Drone Systems Engineering and Rapid Simulation and Performance Evaluation: Methods and Tools, DroneSE and RAPIDO 2021 ; Conference Date: 18 January 2021 Through 20 January 2021; Conference Code:169501
ISBN: 9781450389525
DOI: 10.1145/3444950.3444959
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108155227&doi=10.1145%2f3444950.3444959&partnerID=40&md5=21ffb05a2b87d8d8e75ba0fbb7f1535a

Zur Langanzeige

Seitenaufrufe

21
Letzte Woche
0
Letzter Monat
1
geprüft am 13.05.2024

Google ScholarTM

Prüfen

Altmetric