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  3. Visual-Servoing Testbed with AI-Hardware in the Loop Visual-Servoing Testbed with AI-Hardware in the Loop

Visual-Servoing Testbed with AI-Hardware in the Loop

In this project a Visual-Servoing Testbed (VSTB) for development and test of a Smart Space Camera (SSC) shall be designed and stepwise taken into operation.

Kurzinformation

Departement:

Technik & Architektur

Status:

Laufend

Zeitraum:

01.11.2024 - 28.02.2026

In der Übersicht

The VSTB will use a first functional hardware model of the SSC, which shall be integrated in parallel with the VSTB within this project. The SSC then is to be developed according to product requirements in a follow-up project using the VSTB.
The conceived SSC shall enable autonomous navigation by using a single high-resolution image sensor with a fixed-focal length lens, to provide pose estimation of target objects to the GNC unit of the satellite. The SSC also performs digital zooming to maintain a reasonable pixel resolution for objects at different distances, and employes AI models for pose estimation. The basic concept of such an SSC and its realization in a single space-qualifiable FPGA has been proven by a previous feasibility study financed by ESA and performed by HSLU. To advance the conceptual design of the SSC from TRL 3 to TRL 4, a functional hardware model of the SSC shall be implemented within this project. This functional model together with the visual-servoing testbed will enable hardware-in-the-loop simulation. With this approach, the project addresses the chicken-and-egg problem of how to assess the testbed without a device under test being available yet.
The VSTB to be developed serves multiple purposes during various stages of the design process. Since it considers overall system dynamics in each of these stages, it will be a valuable tool for the future requirements-based development of the product SSC as well as for any further research and development activities on vision-based navigation systems.

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Fakten

Projektart

Forschung

Beteiligte interne Organisationen
  • CC Intelligente Sensoren und Netze
Finanzierung
  • SBFI
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Beteiligte Personen intern

Projektleiter/in
  • Jürgen Wassner
Co-Projektleitung
  • Klaus Zahn
Projektmitarbeiter/in
  • Roger Bruderer
  • Matthias Höfflin
  • Andreas Rebsamen
  • Martin Rechsteiner
  • Bettina Wyss
  • Klaus Zahn

Kurzinformation

Departement:

Technik & Architektur

Status:

Laufend

Zeitraum:

01.11.2024 - 28.02.2026

Projektleitung

Prof. Dr. Jürgen Wassner

Co-Leiter CC Intelligent Sensors and Networks

+41 41 349 33 56

E-Mail anzeigen

Co-Projektleitung

Prof. Dr. Klaus Zahn

Leiter CC ISN

+41 41 349 35 73

E-Mail anzeigen

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