Hardware Software Co-Design for Impact Localization using Hybrid Laminates

Abstract: Impact detection using piezoelectric sensors is an actual and widespread research field. The current work provides an approach for a real-time realization of an impact detection system using deep learning methods. For realization a hardware software co-design approach is used utilizing hardware acceleration by a continuous pipelining FPGA structure. The concept describes the hardware software partitioning of the underlying functions and the methodology for ensuring continuous data processing and the associated real-time capability. The behavior of the hardware is realized with the help of a finite state machine and thus the correctness of the data is ensured and the impact identification is realized. The results show the real-time capability as well as a reasonable resource utilization of the FPGA design. https://www.bibliothek.tu-chemnitz.de/ojs/index.php/cs/article/view/608

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Hardware Software Co-Design for Impact Localization using Hybrid Laminates ; volume:10 ; number:7 ; day:25 ; month:07 ; year:2023
Embedded selforganising systems ; 10, Heft 7 (25.07.2023)

Urheber
Lede, Stephan
Schmidt, René
Böhle, André
Hardt, Wolfram

DOI
10.14464/ess.v10i7.608
URN
urn:nbn:de:101:1-2023092019443172489211
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 11:03 MESZ

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Beteiligte

  • Lede, Stephan
  • Schmidt, René
  • Böhle, André
  • Hardt, Wolfram

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