PRIME · Predictive Rendering In Manufacture and Engineering
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2020-10-01 → 2025-08-31
- Финансиране от ЕС
- 4 118 559 €
- Участници
- 9
- Схема
- MSCA-ITN
Линиите свързват координатора с партньорите.
Накратко на български
Предсказателното рендериране създава визуално точни изображения, като например цифрови копия на автомобили с напълно реално изглеждащи повърхности. То позволява прецизно проектиране на продукти и по-добро обучение на системи за автономни превозни средства.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Predictive Rendering In Manufacture and Engineering
The PRIME (Predictive Rendering in Industrial Manufacturing) project worked on image synthesis which delivers results that one can rely on to be visually accurate. Engineering researchers who participated in this Innovative Training Network (ITN) were trained in skills and protocols needed for industrial usage of Predictive Rendering (PR) technologies. A variety of industries, from manufacturing to entertainment, are moving towards predictive rendering. Application areas of such systems are in product design, architecture, sensor system calibration, training of autonomous vehicle systems, manufacturing control. But even established graphics application areas like movie visual effects (VFX) can benefit from such an approach. This is a cutting-edge area of applied computer science, in which European academia and industry are amongst the global technology leaders. Our ITN network helped with maintaining and increasing the competitive edge of Europe in this regard, and trained young researchers in a promising, future-oriented and research-driven application area. The current industry standard in Computer Graphics in most cases only aims to convince and immerse a viewer, but not to offer an actual prediction of the appearance of a 3D scene. Genuinely predictive rendering has the potential to be a game changer for several industries, way beyond Computer Graphics proper. A widespread industrial use of predictive rendering is starting to be technically feasible. An example is the emergence of so-called digital twins of products: CAD models which include 100% accurate appearance descriptions. These have already, within the limits of existing technology, been introduced in the car industry, and the concept is spreading to other manufacturing industries. Such digital twins become even more valuable if one can reliably visualise and manipulate them, and use them for authoritative appearance inspection. Not all such use cases have been explored yet, as the technology needed for them is still either lacking (as in the case of e.g. fluorescent materials), or not sufficiently standardised for widespread industrial use.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
The goal of this ITN is to have the participants develop skills and protocols needed for industrial usage of Predictive Rendering (PR) technologies - image synthesis which delivers results that one can actually rely on to be visually accurate. Application areas of such systems are in product design, architecture, sensor system calibration, training of autonomous vehicle systems, and manufacturing control. This is a cutting-edge area of applied computer science, in which European academia and industry are currently amongst the global technology leaders. An ITN network in this area will greatly aid in maintaining and increasing the competitive edge of the European region in this regard, and train young researchers in a promising, future-oriented and research-driven application area. It will establish longer term collaborations and lasting structured training programmes between the partner organisations, as well as conducting research work on several highly important engineering problems in this area.
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERZITA KARLOVA · Praha 1КоординаторЧехия
- DANMARKS TEKNISKE UNIVERSITET · Kongens LyngbyДания
- DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH · KaiserslauternГермания
- FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN-NUERNBERG · ErlangenГермания
- IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE · LondonОбединеното кралство
- KEYSHOT APS · AarhusДания
- LINKOPINGS UNIVERSITET · LinkopingШвеция
- UNIVERSIDAD DE ZARAGOZA · ZaragozaИспания
- UNIVERSITY COLLEGE LONDON · LondonОбединеното кралство
Връзки
- Виж в CORDIS
- DOI: 10.3030/956585
- http://prime-itn.eu
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e503afaf73&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e503afba02&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5140960dc&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e52178b02e&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e52178b4f9&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5e3f53f43&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5ea637fca&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5f33ab3e2&appId=PPGMS
Данни: CORDIS, © Европейски съюз
