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Programmable Systems for Intelligence in Automobiles

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Reporting

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Project information

PRYSTINE

Grant agreement ID: 783190

Project website

Status

Ongoing project

Start date

1 May 2018
End date

30 April 2021

Funded under:

H2020-EU.2.1.1.7.

Overall budget:

€ 50 832 120,79
EU contribution

€ 14 446 729,96

Coordinated by:

INFINEON TECHNOLOGIES AG

Germany

Objective

The ambition of PRYSTINE is to strengthen and to extend traditional core competencies of the European industry, research and universities in smart mobility and in particular the electronic component and systems and cyber-physical systems domains. PRYSTINE's target is to realize Fail-operational Urban Surround perceptION (FUSION) which is based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. Therefore, PRYSTINE's high-level goals are:

1. Enhanced reliability and performance, reduced cost and power of FUSION components
2. Dependable embedded control by co-integration of signal processing and AI approaches for FUSION
3. Optimized E/E architecture enabling FUSION-based automated vehicles
4. Fail-operational systems for urban and rural environments based on FUSION

PRYSTINE will deliver (a) fail-operational sensor-fusion framework on component level, (b) dependable embedded E/E architectures, and (c) safety compliant integration of Artificial Intelligence (AI) approaches for object recognition, scene understanding, and decision making within automotive applications. The resulting reference FUSION hardware/software architectures and reliable components for autonomous systems will be validated in in 22 industrial demonstrators, such as:

1. Fail-operational autonomous driving platform
2. An electrical and highly automated commercial truck equipped with new FUSION components (such as LiDAR, Radar, camera systems, safety controllers) for advanced perception
3. Highly connected passenger car anticipating traffic situations
4. Sensor fusion in human-machine interfaces for fail-operational control transition in highly automated vehicles

PRYSTINE’s well-balanced, value chain oriented consortium, is composed of 60 project partners from 14 different European and non-European countries, including leading automotive OEMs, semiconductor companies, technology partners, and research institutes.

Field of Science

/engineering and technology/electrical engineering, electronic engineering, information engineering/information engineering/telecommunications/radio technology/radar

/natural sciences/physical sciences/electromagnetism and electronics/electrical conductivity/semiconductor

/natural sciences/computer and information sciences/artificial intelligence

/social sciences/psychology/cognitive psychology/mental processes/perception

/engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/signal processing

Programme(s)

H2020-EU.2.1.1.7. - ECSEL

Topic(s)

ECSEL-2017-2 - RIA

Call for proposal

H2020-ECSEL-2017-2-RIA-two-stage

See other projects for this call

Funding Scheme

ECSEL-RIA - ECSEL Research and Innovation Action

Coordinator

INFINEON TECHNOLOGIES AG

Address

Am Campeon 1-15
85579 Neubiberg

Germany

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU Contribution

€ 1 798 164,91

Website

Contact the organisation

Participants (60)

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AITEK SPA

Italy

EU Contribution

€ 106 078,13

ANYWI TECHNOLOGY BV

Netherlands

EU Contribution

€ 138 751,13

AUTOCAR MEDIA GROUP LTD

Israel

EU Contribution

€ 213 750

CISC SEMICONDUCTOR GMBH

Austria

EU Contribution

€ 164 306,25

AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS

Spain

EU Contribution

€ 189 615,56

FICOSA ADAS, S.L.

Spain

EU Contribution

€ 153 312,50

FORD OTOMOTIV SANAYI ANONIM SIRKETI

Turkey

EU Contribution

€ 245 000

DAT.MOBILITY BV

Netherlands

EU Contribution

€ 209 385

G.N.T. SYSTIMATA PLIROFORIKIS AE

Greece

EU Contribution

€ 288 750

IDIADA AUTOMOTIVE TECHNOLOGY SA

Spain

EU Contribution

€ 100 075

IDEAS & MOTION SRL

Italy

EU Contribution

€ 101 437,50

INSTITUTO TECNOLOGICO DE INFORMATICA

Spain

EU Contribution

€ 206 637,81

MATTERSOFT OY

Finland

EU Contribution

€ 139 218,75

MASERATI SPA

Italy

EU Contribution

€ 100 000

NOKIA SOLUTIONS AND NETWORKS OY

Finland

EU Contribution

€ 175 375

NXP SEMICONDUCTORS NETHERLANDS BV

Netherlands

EU Contribution

€ 370 296,88

POLITECNICO DI TORINO

Italy

EU Contribution

€ 105 000

RE:LAB S.R.L.

Italy

EU Contribution

€ 28 237,50

ROVIMATICA SL

Spain

EU Contribution

€ 116 331,75

STARHOME

Israel

EU Contribution

€ 234 687,50

FUNDACION TECNALIA RESEARCH & INNOVATION

Spain

EU Contribution

€ 247 351,56

NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO

Netherlands

EU Contribution

€ 141 122,63

TECHNISCHE UNIVERSITAET GRAZ

Austria

EU Contribution

€ 222 320

TECHNISCHE UNIVERSITEIT DELFT

Netherlands

EU Contribution

€ 410 700,06

TECHNISCHE UNIVERSITEIT EINDHOVEN

Netherlands

EU Contribution

€ 277 785,38

TAMPEREEN KORKEAKOULUSAATIO SR

Finland

EU Contribution

€ 300 286,88

TTY-SAATIO

Finland

UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA

Italy

EU Contribution

€ 183 750

UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Romania

TURUN YLIOPISTO

Finland

EU Contribution

€ 151 512,38

VIRTUAL VEHICLE RESEARCH GMBH

Austria

EU Contribution

€ 423 412,50

UAB METIS BALTIC

Lithuania

EU Contribution

€ 104 250

CENTRO RICERCHE FIAT SCPA

Italy

EU Contribution

€ 244 125

AVL LIST GMBH

Austria

EU Contribution

€ 280 200

VIDEANTIS GMBH

Germany

EU Contribution

€ 222 113,25

INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM

Belgium

EU Contribution

€ 479 379,25

DICE DANUBE INTEGRATED CIRCUIT ENGINEERING GMBH & CO KG

Austria

EU Contribution

€ 343 750

INNOLUCE BV

Netherlands

EU Contribution

€ 365 125

AVL ARASTIRMA VE MUHENDISLIK SANAYI VE TICARET LIMITED SIRKETI

Turkey

EU Contribution

€ 143 750

TTS KEHITYS OY

Finland

EU Contribution

€ 161 490

INFINEON TECHNOLOGIES AUSTRIA AG

Austria

EU Contribution

€ 361 500

FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN NUERNBERG

Germany

EU Contribution

€ 328 940,06

IRIZAR S COOP

Spain

EU Contribution

€ 162 500

MURATA ELECTRONICS OY

Finland

EU Contribution

€ 231 750

OKMETIC OY

Finland

EU Contribution

€ 176 250

Teknologian tutkimuskeskus VTT Oy

Finland

EU Contribution

€ 482 833,31

TTTECH COMPUTERTECHNIK AG

Austria

EU Contribution

€ 31 750

ROBERT BOSCH GMBH

Germany

TENNECO AUTOMOTIVE EUROPE BVBA

Belgium

EU Contribution

€ 177 920,31

ELEKTRONIKAS UN DATORZINATNU INSTITUTS

Latvia

EU Contribution

€ 113 050

EPOS EMBEDDED CORE & POWER SYSTEMS GMBH & CO. KG

Germany

EU Contribution

€ 793 500

TTTECH AUTO GERMANY GMBH

Germany

EU Contribution

€ 419 237,50

KUNGLIGA TEKNISKA HOEGSKOLAN

Sweden

EU Contribution

€ 251 110,13

SCANIA CV AB

Sweden

EU Contribution

€ 315 437,50

OSTBAYERISCHE TECHNISCHE HOCHSCHULEAMBERG-WEIDEN

Germany

EU Contribution

€ 206 903,81

HABITUS ARASTIRMA VE DANISMANLIK LIMITED SIRKETI

Turkey

EU Contribution

€ 30 937,50

NOORD-BRABANT PROVINCIE

Netherlands

BAYERISCHE MOTOREN WERKE AKTIENGESELLSCHAFT

Germany

EU Contribution

€ 263 910

HOCHSCHULE OFFENBURG

Germany

EU Contribution

€ 144 239,78

TTTECH AUTO AG

Austria

EU Contribution

€ 68 125

Project information

PRYSTINE

Grant agreement ID: 783190

Project website

Status

Ongoing project

Start date

1 May 2018
End date

30 April 2021

Funded under:

H2020-EU.2.1.1.7.

Overall budget:

€ 50 832 120,79
EU contribution

€ 14 446 729,96

Coordinated by:

INFINEON TECHNOLOGIES AG

Germany

Project information

PRYSTINE

Grant agreement ID: 783190

Project website

Status

Ongoing project

Start date

1 May 2018
End date

30 April 2021

Funded under:

H2020-EU.2.1.1.7.

Overall budget:

€ 50 832 120,79
EU contribution

€ 14 446 729,96

Coordinated by:

INFINEON TECHNOLOGIES AG

Germany

Periodic Reporting for period 1 - PRYSTINE (Programmable Systems for Intelligence in Automobiles)

Reporting period: 2018-05-01 to 2019-04-30

Summary of the context and overall objectives of the project

The automation of vehicles – ultimately aiming at fully autonomous driving – has been identified as one major enabler to master the Grand Societal Challenges “Individual Mobility” and “Energy Efficiency”. Highly automated driving functions (ADF) are one major step to be taken.
One of the major challenges to successfully realizing highly automated driving is the step from SAE Level-2 (Partial automation) to SAE Levels-3 (Conditional automation) and above. At level-3, the driver remains available as a fallback option in the event of a failure in the automation chain, or if the ADF reaches its operational boundaries. At higher levels, the driver cannot be relied upon to intervene in a timely and appropriate manner, and consequently, the automation must be capable of handling safety-critical situations on its own.
For this, fail-operational behavior is essential in the sense, plan, and act stages of the automation chain. PRYSTINE's main target is to realize Fail-operational Urban Surround perceptION (FUSION), which is based on robust Radar and LiDAR sensor fusion, and control functions in order to enable safe automated driving in urban and rural environments.
The PRYSTINE project's strategy to achieve its main target consists of four key technical objectives. While these four technical objectives address different levels (components, control systems, architectures and function) of the automation chain, the non-technical objectives address market/social/technological impacts and “European Values”.
Objective 1: Enhanced reliability and performance, cost and power of FUSION components
Objective 2: Dependable embedded control by co-integration of signal processing and AI approaches for FUSION
Objective 3: Optimized E/E architecture enabling FUSION-based automated vehicles
Objective 4: Fail-operational systems for urban and rural environments based on FUSION
Objective 5: Competitive advantage for European industry
Objective 6: Increased user acceptance of automated driving functions

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

"Objective 1: Enhanced reliability and performance, cost and power of FUSION components
During the first 12 months of the PRYSTINE project, the Supply Chain 1 activities focused on WP1, WP2, and WP3.
Objective 2: Dependable embedded control by co-integration of signal processing and AI approaches for FUSION
Towards the achievement of objective 2, below we report about the SC2 demonstrators where work is ongoing are:
• Demo 2.1: Fail-operational autonomous driving platform (FOADP) by TTT & TTTA & TTTDE & IFAG
• Demo 2.2: Drive-by-wire car (DWC) by EDI.
• Demo 2.3: Heavy duty track (HDT) by UTU, Tecnalia and TTS in cooperation with VTT
• Demo 2.4: Passenger vehicle for low speed autonomy (PVLSA) by VIF.
Objective 3: Optimized E/E architecture enabling FUSION-based automated vehicles
A vehicle equipped with an intent to be driven autonomously must be capable of sensing its environment, deal with the collected data, analyze it and react accordingly. These actions require constant support by an E/E system, which is able to incorporate the needed components, the data transfers and must be computationally capable to perform the necessary calculations. In order to satisfy such a functionality with a fail-operational aspect in consideration, three demonstrators are incorporated into SC3. This SC is working in direction of achieving the overall objective 3 of the project.
Demo 3.1 - E/E architecture demonstrator for automotive electronics enabling automated driving
Demo 3.2 - Simulation, development and validation framework for fail-operational sensor-fusion E/E architecture.
Demo 3.3 - Dynamically shaped, reliable mobile communication
Objective 4: Fail-operational systems for urban and rural environments based on FUSION
During the first year of the project following studies are carried out within the scope of SC4, SC5 and SC6 that collectively work towards achieving objective 4:
a.Lidar sensor data augmentation
b.Back Maneuvering Assist
c.Vulnerable Road User (VRU) Detection
d.Control
e.Traffic Management
f.SuperSight (CiThruS)
g.Compute architecture for multi-sensor data fusion
h.Requirements of the heavy duty demonstrator are described by the SC5 partners; Ford, AVLTR, VIF, ITI, AnyWi and Innoluce.
i.Use cases and scenarios associated with the use cases are extracted and defined in the requirements.
j.The sensor setup of the heavy duty demonstrator is defined.
k.The test track layout is defined with respect to the use cases taking a real docking station and construction zone into account.
l.""Traffic light time-to-green"" (DEMO6.1)
m.""VRU Detection and Trajectory Recognition"" (DEMO6.2)
n. ""Driver Monitoring and Emergency Manoeuvre"" (DEMO6.3)
"

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

Regarding achieving objectives 1-4, the consortium has already sketched a very detailed collaboration matrix, which is provided to the reviewers, explaining how the various SCs work together, what each SC expects from the other, when is the foreseen delivery date and towards which SC.
In this respect, there is already a very clear plan on how to move forward and what to expect, so as to contribute to overall achieving all PRYSTINE objectives in the end of the project.
Concerning the non-technical objectives, work can be reported as follows:
Objective 5: Competitive advantage for European industry
The work in the context of SC8 that contributes to reaching Objective.5 has not yet started officially, as it depends on (And uses inputs from) the Objectives 1-4, so as to collectively work towards providing a competitive advantage to the European industry.
Furthermore, the advantage will be made realistic after the first results start coming out. However, partners within SC8 have been following the PRYSTINE meetings on a normal basis, so as to facilitate the acquisition of all necessary inputs, as described in the DoA.
It is expected that the first contributions of how objective 6 is being reached, will be reported after M24.
Objective 6: Increased user acceptance of automated driving functions
In the first year of the project the focus of the impact supply chain SC9 “FUSION’s impact on vehicle and road safety” was on the safety related specifications and requirements for the demonstrators developed in SC5 and SC6. The related work was carried out in the tasks 1.6 and 1.7.
Moreover, SC10 that also contributes to objective 6 has not yet started.

PRYSTINE basic concept: realization of Fail Operational Urban Surround perception

Project information

PRYSTINE

Grant agreement ID: 783190

Project website

Status

Ongoing project

Start date

1 May 2018
End date

30 April 2021

Funded under:

H2020-EU.2.1.1.7.

Overall budget:

€ 50 832 120,79
EU contribution

€ 14 446 729,96

Coordinated by:

INFINEON TECHNOLOGIES AG

Project information

PRYSTINE

Grant agreement ID: 783190

Project website

Status

Ongoing project

Start date

1 May 2018
End date

30 April 2021

Funded under:

H2020-EU.2.1.1.7.

Overall budget:

€ 50 832 120,79
EU contribution

€ 14 446 729,96

Coordinated by:

INFINEON TECHNOLOGIES AG

Germany

News

Scientific advances

How to tackle the complexity and safety of automated driving

11 February 2020

Project information

PRYSTINE

Grant agreement ID: 783190

Project website

Status

Ongoing project

Start date

1 May 2018
End date

30 April 2021

Funded under:

H2020-EU.2.1.1.7.

Overall budget:

€ 50 832 120,79
EU contribution

€ 14 446 729,96

Coordinated by:

INFINEON TECHNOLOGIES AG

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Last update: 23 December 2019

Record number: 216116

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