Cristin-prosjekt-ID: 530679
Sist endret: 13. februar 2020 10:00

Cristin-prosjekt-ID: 530679
Sist endret: 13. februar 2020 10:00
Prosjekt

Towards Ubiquitous Low-power Image Processing Platforms (TULIPP)

prosjektleder

Magnus Jahre
ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

prosjekteier / koordinerende forskningsansvarlig enhet

  • Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

Finansiering

  • EU
    Prosjektkode: 688403

Kontaktinformasjon

Tidsramme

Avsluttet
Start: 1. februar 2016 Slutt: 31. januar 2019

Beskrivelse Beskrivelse

Tittel

Towards Ubiquitous Low-power Image Processing Platforms (TULIPP)

Vitenskapelig sammendrag

Many industrial domains rely on vision-based applications which require to comply with severe performance and embedded requirements. These domains are best represented by medical imaging (3D reconstruction), automotive advanced systems (pedestrian detection, blind spot detection, or lane departure warning system) and Unmanned Aerial Vehicles (observation in hazardous environment). Such vision-based applications are based on two main building blocks that are image processing and image display. Sensors are then increasingly numerous, while having to cope with a simultaneous growth in smartness and data rate. This brings image processing to a complexity level never met so far. Moreover, this technological challenge is also strongly resource bounded both in terms of with autonomy and energy consumption.

Tulipp will develop a reference platform for high-performance, low-power embedded image processing. The reference platform is presented in the context of the starter kit, a conceptual package consisting of the platform instance, project applications, and reference platform handbook. The aim of the starter kit is to provide engineers with a generic evaluation platform that serves as a base for productively developing low power image processing applications. The platform instance is a physical processing system consisting of hardware, Operating System (OS), and application development tools. The reference platform handbook is a set of guidelines for low power image processing embedded systems. We use guidelines as shorthand for the reference platform handbook.

Guidelines recommend application implementation methods supported by the platform instance. A guideline is a goal-oriented, expert-formulated encapsulation of advice and recommended implementation methods for low power image processing. A vendor platform that enables guidelines by providing suitable implementation methods is called an instance. An instance is fully compliant if it provides recommended implementation methods for all the guidelines that it supports. We envisage that compliance to guidelines will be judged and certified by an independent body identified by the eco-system of stakeholders created during the project.

TULIPP is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688403.

prosjektdeltakere

prosjektleder

Magnus Jahre

  • Tilknyttet:
    Prosjektleder
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

Asbjørn Djupdal

  • Tilknyttet:
    Prosjektdeltaker
    ved Institutt for elektroniske systemer ved Norges teknisk-naturvitenskapelige universitet

Ananya Muddukrishna

  • Tilknyttet:
    Prosjektdeltaker
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

Per Gunnar Kjeldsberg

  • Tilknyttet:
    Prosjektdeltaker
    ved Institutt for elektroniske systemer ved Norges teknisk-naturvitenskapelige universitet
1 - 4 av 4

Resultater Resultater

DCMI: A Scalable Strategy for Accelerating Iterative Stencil Loops on FPGAs.

Koraei, Mostafa; Fatemi, Omid; Jahre, Magnus. 2019, ACM Transactions on Architecture and Code Optimization (TACO). NTNU, UoTVitenskapelig artikkel

Diagnosing Highly-Parallel OpenMP Programs with Aggregated Grain Graphs.

Reissmann, Nico; Muddukrishna, Ananya. 2018, Lecture Notes in Computer Science (LNCS). NTNUVitenskapelig artikkel

Developing Low-Power Image Processing Applications with the TULIPP Reference Platform Instance.

Kalb, Tobias; Kalms, Lester; Goehringer, Diana; Pons, Carlota; Muddukrishna, Ananya; Jahre, Magnus; Ruf, Boitumelo; Schuchert, Tobias; Tchouchenkov, Igor; Ehrenstråhle, Carl mfl.. 2018, Springer. RB, THALES, TUD, NTNU, STORBRITAN, BELGIA, FRAUNHOFER, FRANKRIKE, SVERIGEVitenskapelig Kapittel/Artikkel/Konferanseartikkel

Supporting Utilities for Heterogeneous Embedded Image Processing Platforms (STHEM): An Overview.

Sadek, Ahmad; Muddukrishna, Ananya; Kalms, Lester; Djupdal, Asbjørn; Podlubne, Ariel; Paolillo, Antonio; Goehringer, Diana; Jahre, Magnus. 2018, Lecture Notes in Computer Science (LNCS). TUD, NTNU, BELGIAVitenskapelig artikkel

Extending OMPT to Support Grain Graphs.

Langdal, Peder Voldnes; Jahre, Magnus; Muddukrishna, Ananya. 2017, Lecture Notes in Computer Science (LNCS). NTNUVitenskapelig artikkel
1 - 5 av 7 | Neste | Siste »