Nebula Public Library

The knowledge bank of ESA’s R&D programmes

Format: 2023
Format: 2023
Format: 2023

98 results found
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Contrary to a traditional system, in which input A should provide expected results B, an adaptive and evolving system needs different acceptance criteria.
Besides this, the traditional process for doing the verification and validation is not sufficient anymore and needs rethinking. For example; it might no longer be possible to run-through all the possible test-scenarios before launch.
 

Germany

TDE

T708-608SW

Solenix Engineering GmbH

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The activity foresee the assessment of several different deep learning architectures and deep learning algorithms. Initial use cases, for evaluation, will be selected from Operations and AIT data, supporting tasks such as spacecraft performance assessment, diagnostics and forecasting.

Germany

TDE

T708-609OS

Solenix Engineering GmbH

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The activity aims to develop a toolbox providing capabilities for accelerated interactive processing of SAR imagery utilizing the massively parallel processing capability of GPU-s.

Estonia

GSTP

GT11-028EO

CGI EESTI AS

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GNSS users seek better position estimates; this means high precision and shorter times to achieve low error positions. In addition, the number of GNSS receivers, both single or multi-frequency and/or multi-constellation are growing and an increasing number of applications and services rely on these estimates. In this framework, the development of the Fast Precise Point Position and similar algorithms seem to cover the need for faster (low convergence time) and more precise position estimates in Real-Time (RT).

Spain

TDE

T607-601EF

UNIV POLITEC DE CATALUNYA

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End-to-end mission performance simulators for Earth Observation missions are one of the prominent tools for system design and scientific validation in early mission phases.
 
The main goal of the BIBLOS activity is to provide a library of software units that can be used to build an end-to-end simulator.
 
This activity will focus on adding new functionalities to currently supported instruments:

    Poland

    GSTP

    GT11-029SW

    GMV INNOVATING SOLUTIONS SP. Z O.O.

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    Image

    The ENHANCE (Enabling Harbor to Harbor Autonomous Situational Awareness in Sea Ice Conditions) project is aimed to study How to improve the autonomous navigation and situational awareness in the maritime domain by utilising ML and AI concepts. For this end, we utilise both traditional RGB cameras as well as IR cameras to obtain as diverse as possible data set of sea-ice conditions to train a ML model that can identify an ice tracks and objects, such as buoys, that can help in navigation.

    Finland

    Discovery

    20-D-T-TEC-02-c

    Finnish Geospatial Research Institute

    -

    Image

    Due to the large increase in manufacturing volume of space systems components, coming e.g. from the Mega Constellations and Cubesats domains, the standardisation of flight hardware is progressing faster than ever.

    Belgium

    TDE

    T708-705SW

    SPACEBEL SA.

    -

    The activity is aiming at developing a new generation of mass memories able to support File Based Operations while sustaining high data throughput and providing large capacity.

    France

    GSTP

    GT27-035ED

    STEEL ELECTRONIQUE

    -

    Efforts for anomaly root cause analysis (e.g. GAIA) show the urgent need of using discipline models with flight data for diagnostic purposes. Acquiring more feedback from (also nominal) flight operations is also urgent to improve spacecraft related processes of engineering, analysis and verification. A spacecraft is equipped with several monitoring sensors that measure different attributes of the spacecraft. This results in a huge raw stream of data that has to be analysed to produce information about spacecraft behaviour and health status.

    Germany

    TDE

    T709-503OS

    TERMA GMBH

    -

    Image

    A key objective of the Model-Based for System Engineering (MBSE) roadmap is to use MBSE to improve reviews conducted within the Agency. To date, the Agency has some limited experience with this; nonetheless, a standardised process has not yet been developed. In addition, the current tools and processes do not encourage easy interaction with models for users who are not experienced modellers. Digital modelling literacy is low across the wider Agency, and will likely remain so in the coming years.

    Netherlands

    TDE

    T708-704SY

    RHEA SYSTEM B.V.

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