Final Review Meeting

Coordination and Support Action Safe and Connected Automation in Road Transport

Final Review Meeting

23 August 2018

Brussels

Gereon Meyer, VDI/VDE-IT

Jörg Dubbert, VDI/VDE-IT

Franz Geyer, BMW

Andi Winterboer, Bosch

Steven von Bargen, NXP

Heiko Hahnenwald, Fraunhofer LBF

Maria Luisa Soria, Sernauto

Beatrice Tomassini, CLEPA

Ed Troost, Reviewer

Thomas Vögele, Reviewer

Mercè Griera-i-Fisa, European Commission

Participants

10:00 Welcome and Tour de Table

10:30 Highlights and Achievements of SCOUT Project

11:00 Presentation of Project Results

WP 2 – Franz Geyer (BMW)

WP 3 – Steven von Bargen (NXP) / Jörg Dubbert (VDI/VDE-IT) WP 4 – Heiko Hahnenwald (FHG) WP 5 – Gereon Meyer (VDI/VDE-IT) WP 6 – Andi Winterboer (Bosch) WP 7 – Beatrice Tomassini (CLEPA) / Maria Luisa Soria (Sernauto)

12:30 Report on Deliverables, Milestones and Budget

13:00 Lunch Break

14:00 Discussion on Project Impacts

14:30 Wrap-up, Gereon Meyer (VDI/VDE-IT)

15:00 Internal Discussion of EC and reviewers

16:00 Feedback & Farewell

Agenda

Safety in Automated Driving

California Department of Motor Vehicles, 2018 „This will turn driving these vehicles into

a video game except lives are at stake..“

UBER, Tempe, AZ

https://www.google.de/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&cad=rja&uact=8&ved=2ahUKEwiJsbCnke_cAhVBsaQKHfNFDDQQjRx6BAgBEAU&url=https://www.nbcnews.com/video/self-driving-uber-crash-that-killed-pedestrian-in-tempe-arizona-caught-on-camera-1191726659979&psig=AOvVaw2sRVrz6pnvYQUVa1NWlj-B&ust=1534425131245798

Project

Objectives:

• To identify pathways for an accelerated proliferation of safe and connected high-degree automated driving (SAE 3-5)

• To take into account user needs and expectations, technical and non-technical gaps and risks, viable business models as well as international cooperation and competition.

• To help the automotive, the telecommunication and digital sectors need to join forces and agree on a common roadmap

Contractual Partners: VDI/VDE-IT, Renault, FCA, BMW, Bosch, NXP, Telecom Italia, NEC, RWTH, Fraunhofer, CLEPA, Sernauto

Duration: 24 Months

Funding Agency: European Commission, DG CNECT

Highlight #1: Comprehensive Approach

Highlight #2: Vision Development

2030

Highlight #3: Co-Creation of Roadmap

SCOUT Expert Workshop 7 Mar 2018

Highlight #4: Agile Roadmap

Methodology building on 5 layers mdoel

5 Use Case Specific Roadmaps

Highlight #5: Conferences + Workshops

SCOUT Expert Workshops

1st EU CAD Conference

AMAA Conferences 2016 & 2017

Interactive Symposium 2018

Highlight #6: Publications

Highlight #7: Dissemination

ERTRAC WG AD

ECSEL Joint SRA

EPoSS SRA

SCORE Mobility4EU

Future Radar

Horizon 2020

STRIA 2.0

AIOTI EURIPIDES

CAD Conference

5G Alliance

CARTRE

EUCAR CLEPA

Cooperation

Relation to Other Roadmaps: EPoSS

Relation to Other Roadmaps: ERTRAC

10:00 Welcome and Tour de Table

10:30 Highlights and Achievements of SCOUT Project

11:00 Presentation of Project Results

WP 2 – Franz Geyer (BMW)

WP 3 – Steven von Bargen (NXP) / Jörg Dubbert (VDI/VDE-IT) WP 4 – Heiko Hahnenwald (FHG) WP 5 – Gereon Meyer (VDI/VDE-IT) WP 6 – Andi Winterboer (Bosch) WP 7 – Beatrice Tomassini (CLEPA) / Maria Luisa Soria (Sernauto)

12:30 Report on Deliverables, Milestones and Budget

13:00 Lunch Break

14:00 Discussion on Project Impacts

14:30 Wrap-up, Gereon Meyer (VDI/VDE-IT)

15:00 Internal Discussion of EC and reviewers

16:00 Feedback & Farewell

Agenda

Project Structure

Objectives

• Understanding of expectations, ideas and goals and reservations of potential individual users and all other relevant stakeholders towards automated driving

• Collecting ideas for solutions in an open innovation process thereby identifying the potential use cases for automated passenger and goods transport

• Framing a comprehensive vision for connected and automated driving in Europe as a basis for the analysis of the European ecosystem (WP 3) and novel business models (WP 4) as well as the European roadmap (WP5)

VDI/VDE-IT, Renault, CRF, BMW, TIM, NEC, RWTH, FHG

WP 2: Capture of Goals, Expectations and Use Cases for C&AD


Tasks

• Task 2.1 Investigation of user requirements (RENAULT): to gather existing knowledge regarding expectations, goals, ideas and reservations and requirements through desk research, individual interviews with relevant user and stakeholder groups, complement with info on EU regional goals and activities

• Task 2.2 Co-Creation of use cases and vision for automated driving in EU (VDI/VDE-IT): Workshop to co-create use cases for C&AD in EU, visualisation in a context map, framing a vision for C&AD in EU for 2030 as basis for further work in SCOUT.


Deliverables

D2.1 (Month 4): Report on user expectations, goals, ideas, reservations and requirements (Final)

D2.2 (Month 6): Context map on user expectations, goals, ideas, reservations and requirements

D2.3 (Month 8): Report on use cases and comprehensive vision for connected and automated driving in EU (Final)

D2.4 (Month 9): Visualization of vision for automated driving in EU

Overall implications • Standardization! • Adding value by connectivity • Data is everything • No realization without cooperation

“Society as a stakeholder” • Increasing traffic efficiency in all areas

(from congestion reduction to better land use for infrastructure)

• Reducing operation costs (maintenance, energy consumption emission)

• Vanishing borders of transport modes

Specific implications for all value creation partners for each business model (product/service, value chain position, customer benefits, monetization)

T 2.1: Stakeholder Implications

T 2.1: User Expectations

Further research on user expectations from connected automated driving (desk research)

T 2.1: User Expectations

Do you want to use the sharing service? (Percentage of respondents who answered yes)

JP US DE CN

18

9

Ride-sharingCar sharing

25

32

Car sharing Ride-sharing

28 27


81 83


> People willing to use both car and

ride sharing are less, specifically

for ride sharing, which is not even

10%.

> People willing to use ride sharing

are comparatively high.

> More than1/4 people are willing to

use both car and ride sharing.

> Compared with other countries,

many people are willing to use

both car and ride sharing.

More than 70% of customers in China are willing

to buy an autonomous driving car (level >3),

around 30% in the US and Germany, 15% in Japan

Further research on user expectations from connected automated driving (survey)

Nomura Research Institute (2018)

T 2.2: Co-Creation of the Vision

T 2.2: Co-Creation of the Vision

Validation exercise at the AMAA 2017 Conference 25 Sept 2017, Berlin

T 2.2: Visualisation of Vision 2030

2030

WP 3: Analysis of the Automated Driving Ecosystem Objectives

• Record the state of the art in technical and non-technical enablers and anticipate future evolutions

• Identify current and future gaps and challenges from technical, societal, economic, policy, legal and regulatory perspectives in comparison to the vision created in WP 2

• Enable the anticipation of future development paths of the European ecosystem of connected and automated driving

Deliverables

D3.1 (Month 9): Report on the state of the art of connected and automated driving in Europe (Draft)

D3.2 (Month 12): Report on the state of the art of connected and automated driving in Europe (Final)

D3.3 (Month 15): SWOT analysis of the ecosystem of connected and automated driving in Europe (Final)

WP 3: Analysis of the Automated Driving Ecosystem Tasks

• Task 3.1: State of the art in technical and non-technical enablers for all relevant stakeholders (RWTH): Systematic literature search, complemented by expert interviews which will specifically enable the anticipation of future developments

• Task 3.2: SWOT analysis of the connected and automated driving ecosystem in Europe (FHG): SWOT, complemented by comprehensive analysis of the market and its trends (in coop. with WP4), validation via expert workshop conducted together with the validation workshop of WP4

VDI/VDE-IT, Renault, CRF, BMW, Bosch, NXP, TIM, NEC, RWTH, FHG, Sernauto

T 3.1: State of the Art in CAD

5-Layers Model

T 3.1: State of the Art (Technical)

Sense

• In-Vehicle Sensors

• Vehicle Proximity Sensors

• Sensor Setups

• Navigation and Localization

Tesla Model S

Mercedes S Class

Radar – SR Radar – LR GPS Camera – Mono Camera – Stereo V2X Sensor Ultrasonic Infrared Maps

Sensor Setup

Sense



• Sensor Setups


Think

• Sensor Fusion

• E/E architectures

• Artificial Intelligence in Vehicles

Act

Tesla Model S

Mercedes S Class


Sensor Setup


Sense



• Sensor Setups


Think

• Sensor Fusion

• E/E architectures

• Artificial Intelligence in Vehicles

Act

Security

Communication/Connectivity

Tesla Model S

Mercedes S Class


Sensor Setup

The 4+1 Layer Model for a Secure Connected Vehicle


Legal Status of CAD in Europe

• Vienna Convention &

UN Regulation UN-R 79

• National Regulations

T 3.1: State of the Art (Legal)

Legal Status of CAD in Europe

• Vienna Convention &

UN Regulation UN-R 79

• National Regulations

International Regulations

Other Regulation areas to be observed

• Liability

• Insurance

• Personal Data Protection/ Security

• Type Approval

• Other National Regulations

T 3.1: State of the Art (Legal)

T 3.2: SWOT-Analyse

Current Strengths/ Opportunities Current Weaknesses/ Threads Sensing In-vehicle

Sensors high technology readiness, wide range of sensors and sensor data available, sinking costs, sensors available for the wider market

sensor data is limited to specific sensing tasks, data merging is not much developed, communication between sensors is limited (missing standards), driver status monitoring needs development for L4/5

Proximity Sensors Sensor Setups

high technology readiness, wide range of sensors and sensor data available, sinking costs,sensors available for the wider market

all sensor types only suitable for specific sensing tasks, broad variety of manufacturer-specific setups, missing standardisation

Navigation and Localisation

High-Definition Maps

Navigation maps with centimetre accuracy with precise information for automated car guidance and sufficient coverage

Positioning Systems

Positioning systems do not deliver sufficient coverage and accuracy Additional sensing will be necessary

Vehicle Platforms

Sensor Fusion E/E-Architecture

variety of specific sensors is available, good examples for data fusion exist, examples for algorithms exist, systems according E/E-Architecture available

new fusion algorithms needed (e.g. 360° perception) fusion algorithms need improvement in object detection, classification and detection rates, fusion of image and non-image data remains a problem, no common setup for sensor fusion system available, handling the amount of sensor data in real-time

T 3.2: SWOT-Analyse

Current Strengths/ Opportunities Current Weaknesses/ Threads Vehicle Platforms (continued)

Artificial Intelligence

a broad range of AI network structures exists, strong investments in AI in the automotive industry

AI network structures have different maturity, Deep learning is not adapted to decision making in automated driving, lack of core technology, missing standards and interoperability, risk of development of proprietary solutions

Acting R&D is ongoing in the development of functionality

development of fail-safe operation scenarios and technologies is necessary, no clear technology path ahead, complex development, risk of high vehicle costs because of redundancy in systems

Security some technologies available, e.g. central gateway

designed security is necessary, need for technology improvement, standards necessary

Connectivity V2X Communication available, tested and standardized, G5 standard is expected by 2020

further R&D effort necessary, market implementation has still to be done, additional funding for market implementation necessary

WP 4: Identification of Business Models

Objectives

• Perceive novel business models to gain a cutting edge in both vehicular technology and in designing services over new competitors like e.g. Google and Apple

• Identification of potentially novel partnerships and specific consumer segments for implementing the business models

• Assessing business model options regarding impacts for innovation and job creation

Deliverables D4.1 (Month 6): Report on novel business models (Draft) D4.2 (Month 12): Report on novel business models (Final) D4.3 (Month 15): Report on the assessment of the business models

WP 4: Identification of Business Models

Tasks

• Task 4.1 Business case study (FHG): gathering of business models, use cases and customer demands from WP2, search for novel business models through morphological analysis

• Task 4.2 Assessment of identified business cases (RWTH): Validation and rating of perceived business cases through a stakeholder acceptance study, SWOT analysis on most viable business models, inclusion of user perspective through collaboration with WP2, joint validation workshop with WP3

VDI/VDE-IT, Renault, CRF, BMW, NXP, TIM, NEC, RWTH, FHG

T 4.1: Business Case Study

Heiko Hahnenwald, LBF

Methodology

Value Proposition • Well-organized and safe

parking in large parking areas.

• Exoneration of drivers from search traffic

• Increasing comfort and time saving

Value creation partners • OEM/Suppliers • Technology providers

(infrastructure sensors) • Software/App-Providers • Payment solution

providers • Infotainment providers

Monetization Drivers • Pay per use (parking) • Subscription (parking

information) Parking area providers • Pay for being listed in

navigation data • Investment in

infrastructure (sensors)

Customer Segment • Drivers (comfort) • Parking area providers

(increasing parking space

T 4.1: Business Case Study

Automated Valet Parking

T 4.2: Assessment of Business Cases

Automated Valet Parking

Further business cases assessed: “Connected maintenance and safety “Automated truck platooning on motorways” “The car as digital experience center”.

WP 5: European Roadmap

Objectives

• Supporting European leadership in the development of automated driving by making recommendations for technological progress in current and new directions with particular focus on including ICT and automotive sector

• Strengthen the European ecosystem of connected and automated driving by recommending policies and actions to drive the harmonized installation of regulatory frameworks and standardization

• Identify potential roles at public (EU, member states) and private sides for the implementation


Tasks

• Task 5.1 Estimating the impact of barriers of connected and automated driving (VDI/VDE-IT): Assessment of gaps, challenges and barriers identified in the SWOT analysis of the ecosystem (WP3), the market analysis (WP 3/4) and the consolidated business models (WP 4) through a FMEA (Failure Mode and Effects Analysis), proposing mitigation strategies and rating their chances of success

• Task 5.2 Deriving Actions and Solutions (NXP): Compilation of roadmap towards the vision of C&AD derived in WP 2. Roadmap is derived top down from SWOT analysis of the ecosystem (WP3) and consolidated business models (WP 4) and from results of Task 5.1


Deliverables

D5.1 (Month 16): Report on barriers and mitigation strategies for implementing connected and automated driving in Europe

D5.2 (Month 20): European roadmap for connected and automated driving (First Draft)

D5.3 (Month 22): European roadmap for connected and automated driving (Final Draft)

D5.4 (Month 24): Visualisation of European roadmap for connected and automated driving

VDI/VDE-IT, Renault, CRF, BMW, Bosch, NXP, TIM, NEC, RWTH, FHG, CLEPA

T 5.1: Impacts of Barriers Probability Severity Detectability Recoverability

(0-10) (0-10) (0-10) (0-10)

Lack of data protection & privacy 7 6 5 6 231

Lack of cybersecurity 7 9 5 5 315

Lack of standardisation (multi-brand) 7 5 2 5 123

Validation issues for AI decision making 8 8 4 8 384

Harmonization issues e.g. type approval 7 8 2 5 196

Big variety of sensor set-ups 8 5 1 6 140

Insufficient sensor fusion 7 6 1 5 126

Failure of fall back solutions 5 9 2 5 158

Low fail operational capabilities of sensors 5 9 2 5 158

Lack of robustness & reliability of

perception systems4 9 3 4 126

Low recognition of road users and/or traffic

situation4 10 1 5 120

Poor performance regarding machine

perception4 10 1 5 120

Lack of integration with infrastructure (e.g.

connectivity, sensors)8 8 4 7 352

Poor cooperation between

telecommunication & automotive7 7 1 7 196

Limited accuracy of localisation 5 8 2 7 180

Insufficient maneuver planning 5 8 4 5 180

Risk related to artificial intelligence 6 9 3 6 243

Insufficient functional safety 5 9 2 6 180

Risk/challenge Index

Failure Mode and Effect Analysis (FMEA) Technical Layer (done for all 5 layers)

T 5.2: Roadmap Development Process

Context map Vision + Roadmap Analysis

T 5.2: Essence of the Vision

• The essence of the user centric vision of CAD is a level 4/5 system. Its features and their interconnects can be characterized in terms of the 5 layers model

T 5.2: Roadmap Template

Action Field

Action

Action

Action

Action Field

Action Field

Action

Action

Action

Action

Action

1. Hurdles: L

4/5

Au

tom

atio

n

(20

30

+)

Hurdles Hurdles Hurdles

2. Actions:

3. Links to other layers 2025 2030

T 5.2: Co-Creation of Roadmap

Expert Workshop “Building a comprehensive European roadmap for level 4/5 connected and automated driving” 7 March 2018, Brussels

T 5.2: Co-Creation of Roadmap

Outcomes of Expert Workshop on 7 March 2018, Brussels

Validation at an Interactive Session, CAD Symposium, 20 April 2018, Vienna

T 5.2: Co-Creation of Roadmaps

Lessons Learned

• 5-Layer Model appropriate to describe the challenges related to CAD in a comprehensive way

• Dependencies (“links”) between the layers are manifold, creating a “Gordian knot”, i.e. development and deployment of level 4 and 5 connected and automated driving may be heavily delayed if it is not comprehensively coordinated

• Relation to time line makes no sense if the use case remains unspecified

T 5.2: Agile Roadmap Model

Updated Approach:

• Roadmaps need to be distinct for use cases, and focused on goals and milestones

• Innovation can be accelerated by agile shortcuts anticipating hurdles and roadblocks, e.g. living labs, pilots, sandboxes, hackathons

T 5.2: Use-Case Specific Roadmaps

T 5.2: Conclusions and Advice

• The five layers model helps to identify roadblocks and accelerators in innovation.

• Given the disruptive character of level 4/5 technologies, roadmaps become a “Gordian Knot” if not focussed on use cases and intermediate goals.

• Agile shortcuts between the layers should be incorporated into the design of planned actions, e.g. demonstrations, sandboxes approaches, co-creation session, and living lab

• It is essential to quickly gain practical experiences, therefore minimal viable products should be aimed for.

• Safety is of primary concern, and refers to all five layers

• Technology oftentimes is part of the economic equation.

• Large scale demonstrations are essential in order to achieve societal acceptance

WP 6: International Monitoring

Objectives

• Monitoring and collaboration on EU and international level (focus on US, Japan and China)

• To further and broaden the complementarity and coherence between the European Union’s and the member/associated states’ actions for the promoting of research, development and innovation

• Implementation by establishing links between funding programmes, projects and implementation initiatives

• Seize a competitive advantage for Europe by establishing and furthering existing and new connections with European networks and technology platforms, public authorities and networks at MS and worldwide levels, as well as with relevant international players in academia and industry


Tasks

• Task 6.1 Monitoring and collaboration at EU level (BOSCH): Identification of plans, targets and concrete activities for support of R&D&I and mass market introduction of C&AD in EU MS and associated states through desk research and by exploiting expertise and contacts of SCOUT partners

• Task 6.2 Monitoring and collaboration on the international level (VDI/VDE-IT): Scouting international trends in safe and connected automation, monitoring worldwide programs for development of automated driving as well as establishment of related business models and deployment of communication infrastructures (focus on US, Japan, and China)


Deliverables

D6.1 (Month 3): Plans, targets, activities on EU and national level for implementing connected and automated vehicles (Final)

D6.2 (Month 20): Update of Plans, targets and activities on EU and national level for implementing connected and automated vehicles (Final)

D6.3 (Month 8): Plans, targets and activities on international level for implementing connected and automated vehicles (Final)

D6.4 (Month 20): Update of Plans, targets and activities on international level for implementing connected and automated vehicles (Final)

VDI/VDE-IT, Bosch, FHG

T 6.1: European Union and MS

• Automotive industry is biggest R&D investor in the EU out of all industrial sectors. In 2016, EU companies significantly increased their share of global R&D in the Automobiles & Transport sector (from 36% to 44%)

• In 2016, the 50 largest EU automotive companies invested €50 bn in R&D. 4/5 of top 5 EU companies investing most in R&D are automotive companies

• However, the Software & Computer Services sector shows worldwide the highest one-year growth rate in R&D investments (12,8%) -> e.g. GOOG, APC who also invest in CAD

• This huge private investment is accompanied, triggered and leveraged by substantial public investments: E.g., the US announced to invest $4 bn for their Automated Vehicles programme in the next years.

• R&D investments need to be increased to balance current business models and new "game changing" developments like CAD.

Strong worldwide competition; huge investments by automotive companies in Europe; extremely well-equipped (new) players; huge government investments internationally; still many R&D challenges


Existing and future EU funding structures


Funding

• H2020: Societal Challenge "Smart, Green and Integrated Transport“, budget of app. €6.3 bn (2014-2020) across all transport modes; aims to boost the competitiveness of the European transport industries

• Synergies with other parts of H2020, e.g. ICT and NMBP calls, and ECSEL

• Budget of calls in H2020 with regard to CAD: ca. € 300m for the period of 2017-2020

• CEF: Budget CEF calls on CAD: ca. € 300-350m (2017-2020)

• Total annual funding available for R&D&I activities concerned with connected and automated driving in Europe (2017):


Funding

• A coherent funding strategy will accelerate progress in the deployment of CAD and will be a key element of future mobility in Europe

• This report looked at the currently available funding budgets on national and European level in light of the global competition.

• Outcome: The global competition, e.g. both US and China, is fierce and receives considerable support from their respective governments

• Despite high expectations by the public as well as the political level, there are still many huge technical and non-technical challenges to overcome before CAD becomes a reality

• The present report delivers input for the update of the ERTRAC Roadmap on CAD and already went e.g. into the GEAR 2030 activities.

Ambitious planning supported by sufficient funding is absolutely necessary also in Horizon Europe:

Reinforcing the competitiveness of the European automotive value chain, through a dedicated Public-Private-Partnership and an IPCEI for CAD ( GEAR 2030 recommendations)

2018 Update USA

• Elaine Chao, U.S. Sec. of Transportation (AVS 2018) “ Safety number one priority” “DOTs approach tech-neutral, not top-down command & control.” “ avoid a patchwork of rules “ “ autonomous vehicles to operate side-by-side with traditional cars, in both urban and rural areas.”

• Consolidated Appropriations Act 38 Mio $ for CAD research 60 Mio $ for CAD demos

• Accessible Transportation Technologies Research Initiative

T 6.2: International Monitoring (Intl)

Shared Automated Vehicles Pilots (UC Berkeley, 2018)

ATTRI Projects

T 6.2: International Monitoring (Intl)

2018 Update Japan

• 300 kms CAD Test Track in Tokyo used by Japanese OEMs / Tier-1 plus VW, BMW, Daimler, Conti, Bosch, Valeo

• SIP ADUS Programme to be continued in 2018-2022 with focus on societal benefits and automated services

2018 Update China

• National Development and Reform Commission: Vision for CAD 2020: 50% of all new cars intelligent 2025: 100% .. 2030 : Global leadership..

EU-US-Japan Trilateral Working Group Automated Road Transport

San Francisco, CA, 2018

WP 7: Networking & Dissemination

Objectives

• Raise awareness and inform various targeted audiences about the project

• Ensure impact by communicating the key messages to a wide group of political and key decision makers

• Establish a network of national and regional stakeholders and contact points in the European MS/ AS and non-EU countries

• Bring the stakeholders actively together in the network • Manage the presentation of the project and its results on national

and international conferences and in the media • Keep the interested stakeholders up-to-date on research programmes

carried out in the EU • Develop the concept for a European Conference on Automated and

Connected Driving • Initiate discussions and information flow


Tasks

• Task 7.1 Planning actions of dissemination tailored for target audiences (Task Leader: CLEPA): Compile dissemination plan and list of relevant stakeholders

• Task 7.2 General dissemination (SERNAUTO): Website, e-Newsletters, social media channels

• Task 7.3 Targeted dissemination (CLEPA): Scientific dissemination, dissemination towards general public, networking with other projects, workshops, interim and final dissemination event, EU conference on A&CD

• Task 7.4 Network Building (CLEPA): Initiate core network of stakeholders (ETPs, associations, R&D organisations, MS etc.) via associated partners


Deliverables

D7.1 (Month 3): Dissemination Plan D7.2 (Month 3): Mapping of relevant stakeholders D7.3 (Month 6): 1st Newsletter D7.4 (Month 12): 2nd Newsletter D7.5 (Month 18): 3rd Newsletter D7.6 (Month 24): 4th Newsletter D7.7 (Month 18): Concept for European conference on connected and

automated driving D7.8 (Month 24): Report on scientific publications VDI/VDE-IT, Renault, CRF, Bosch, TIM, RWTH, FHG, CLEPA, Sernauto

T 7.2: General Dissemination

Newsletters of the 2nd Period jointly edited with CARTRE project

T 7.3: Conferences / Workshops

1st European Conference on Connected and Automated Driving 3-4 April 2017, Brussels

Interactive Symposium on Research and Innovation for Connected and Automated Driving in Europe 19-20 April 2018, Vienna

T 7.3: Conferences / Workshops

21st Int. Forum on Advanced Microsystems for Automotive Applications (AMAA 2017) „Smart Systems Transforming the Automobile“ 25-26 September 2017, Berlin

SCOUT Expert Workshops 22 Feb 2017, Brussels 20 July 2017, Brussels 7 March 2018, Brussels 20 April 2018, Vienna 29 June 2018, Brussels

T 7.3: Publications

• D. Will, L. Eckstein, S. von Bargen, T. Taefi, R. Galbas, State of the Art Analysis for Connected and Automated Driving within the SCOUT project. ITS World Congress 2017

• G. Meyer, European Roadmaps, Programs, and Projects for Innovation in Connected and Automated Road Transport. In: Road Vehicle Automation 5, ed. by G. Meyer / S. Beiker, Springer 2018

• C. Zachäus, B. Wilsch, J. Dubbert, G. Meyer, A comprehensive roadmap for level 4/5 connected and automated driving in Europe, Poster at AVS 2018

• J. Dubbert, B. Wilsch, G. Meyer, Ways to accelerated level 4/5 connected and automated driving. In: Advanced Microsystems for Automotive Applications, ed. by J. Dubbert, B. Müller, G. Meyer, Springer 2018

• B. Wilsch, H. Elrofai, E. Krune, Challenges and Opportunities of Artificial Intelligence for Automated Driving. In: Advanced Microsystems for Automotive Applications, ed. by J. Dubbert, B. Müller, G. Meyer, Springer 2018

T 7.3: Publications

Automated Vehicles Symposium 2018, San Francisco, CA (USA)

T 7.3: Books

T 7.4: Network Building

• EU-US-Japan Trilateral WGAutomated Road Transport, 14 July 2017, San Francisco, CA (USA)

• EPoSS Working Group Transportation, 25 September 2017, Berlin

• CLEPA R&I Safety Automation Connectivity Thematic Group - Meeting 27 Sept 2017, Brussels

• CLEPA R&I Working Group, 18 October 2017, Wuppertal

• 4th SIP-adus Workshop on Connected and Automated Driving Systems, 14-16 November 2017, Tokyo (Japan)

• EU-US-Japan Trilateral Working Group Automated Road Transport, 17 November 2017, Toyko, Japan

• Workshop Safety and Security on the Road to Automated Transport, International Transport Forum/OECD, 23 November 2017, Paris

• ERTRAC Plenary, 12 December 2017, Brussels

• ECA Conference “Electric Connected Automated Cars invented for the 2030 Customer”(Mobility.E Lighthouse of ECSEL JU), 30-31 January 2018, Andratx

T 7.4: Network Building

• CLEPA R&I Working Group, 22 February 2018, Brussels

• ERTRAC/CARTRE Workshop on Research Needs for Connected and Automated Driving, 8 March 2018, Brussels

• ERTRAC Plenary, 21 March 2018, Brussels

• EPoSS Working Group Transportation, 10 April 2018, Dresden

• CLEPA R&I Working Group, 28 May 2018

• ETRAC Plenary, 13 June 2018, Brussels

• CLEPA R&I Safety Automation Connectivity Thematic Group, 22 June 2018, Brussels

• eNOVA Strategy Board Automobile Future, 26 June 2018, Münster

Deliverables 2nd Period

Del. no. Del. title Rel. WP no.

Resp. partner

Type Diss. level

Plan. del. date

Act. del. date

Comments

D3.3 SWOT analysis of the ecosystem of connected ad automated driving in Europe (Final)

3 CRF R PU M15 10/07/18 Due to delayed finalization of deliverable D 3.2, which is provides the basis for the SWOT analysis, D 3.3 was delayed as well.

D4.3 Report on the assessment of the business models

4 NXP R PU M15 10/07/18 Due to delayed finalization of deliverable D 4.2, which is provides the basis for the assessment, D 4.3 was delayed as well.

D5.1 Report on barriers and mitigation strategies for implementing connected and automated driving in Europe

5 TIM R PU M16 23/07/18 This deliverable is combining the findings of WPs 3 and 4, and thus could not be finalized before those WPs were concluded.

D5.2 European roadmap for connected and automated driving (First Draft)

5 NEC R CO M20 23/07/18 This deliverable was delayed because the public expert workshop for the roadmap development process could only be held in March 2018 due to limited availability of the participants.

D5.3 European roadmap for connected and automated driving (Final Draft)

5 BMW R PU M22 23/07/18 This deliverable was slightly delayed because the road-map development process for level 4/5 CAD revealed a highly intertwined set of needed actions which required intense internal discussions.

Deliverables 2nd Period

Del. no. Del. title Rel. WP no.

Resp. partner

Type Diss. level

Plan. del. date

Act. del. date

Comments

D5.4 Visualisation of European roadmap for connected and automated driving

5 VDI/VDE-IT R PU M24 23/07/18 On time.

D6.2 Update of Plans, targets and activities on EU and national level for implementing connected and automated vehicles (Final)

6 BOSCH R PU M20 10/07/18 Delay was caused by a retardation of internal review due to change of personnel at VDI/VDE-IT caused by a maternity leave.

D6.4 Update of Plans, targets and activities on international level for implementing connected and automated vehicles (Final)

6 VDI/VDE-IT R PU M20 23/07/18 Delay was caused by a retardation of internal review due to change of personnel at VDI/VDE-IT caused by a maternity leave.

D7.6 Fourth Newsletter 6 SERNAUTO R PU M24 10/07/18 On time. D7.7 Concept for EU

conference on connected and automated driving

6 VDI/VDE-IT R CO M18 23/07/18 This deliverable was delayed because it is covering two conferences, the latter taking place end-of-April 2018 only.

D7.8 Report on scientific publication

6 VDI/VDE-IT R PU M24 23/07/18 On time.

Partner Direct personnel

Other direct costs

Indirect costs Total costs Requested EU-contribution

Original Grant

VDI/VDE-IT GmbH

98,111.36 € 31,761.48 € 32,468.21 € 162,341.05 € 162,341.05 € 328,250.00 €

Renault 3,666.31 € 237.86 € 976.04 € 4,880.21 € 4,880.21 € 49,687.50 €

CRF 11,657.00 € 968.00 € 3,156.02 € 15,780.12 € 15.780,12 € 46,500.00 €

BMW Group 25,484.18 € 0.00 € 6,303.62 € 31,517.20 € 31,517.20 € 48,810,00 €

Robert Bosch GmbH

9,685.42 € 249,49 € 2,483.73 € 12,418.64 € 12,418.64 € 77,436.25 €

NXP Germany 42,644.91 € 3,266.43 € 11,477.84 € 57,389.18 € 57,389.18 € 96,787.50 €

TIM 1,824.38 € - € 456.09 € 2,280.47 € 2,280.47 € 13,937.50 €

NEC Lab. Europe 6,949.68 € 1,062.94 € 2,003.16 € 10,015.78 € 10,015.78 € 20,865.00 €

RWTH Aachen 32,346.15 € 2,109.29 € 8,613.86 € 43,069.30 € 43,069.30 € 81,400.00 €

FhG e.V. 41,092.22 € 1,467.91 € 10,640.03 € 53,200.15 € 53,200.15 € 126,775.00 €

Clepa 23,034.16 € 3,396,40 € 6,607,64 € 33,038,20 € 33,038.20 € 61,876.00 €

Sernauto 17,279.67 € 4,381.47 € 5,415.29 € 27,076.43 € 27,076.43 € 45,393.75 €

Total 313,775.44 € 48,961.27 € 90,601.52 € 453,006.73 € 453,006.73 € 996,718.50 €

Budget Spending (2nd Period)

Budget Spending (total) Partner Direct

personnelOther direct

costsIndirect costs Total costs Requested EU-

contributionOriginal Grant

VDI/VDE-IT GmbH

156,800.00 € 72,800.00 € 57,400.00 € 287,000.00 € 287,000.00 € 328,250.00 €

Renault 36,053.74 € 740.16 € 9,198.48 € 45,992.38 € 45,992.38 € 49,687.50 €

CRF 25,264.00 € 968.00 € 6.558,00 € 32,790.00 € 32,790.00 € 46,500.00 €

BMW Group 47,709.08 € 271.30 € 11,927.45 € 59,636.35 € 59,636.35 € 47,810,00 €

Robert Bosch GmbH

31,542.46 € 2,936,57 € 8.619,76 € 43,098.79 € 43,098.79 € 77,436.25 €

NXP Semiconductors Germany

42,644.91 € 3,266.43 € 11,477.84 € 57,389.18 € 57,389.18 € 96,787.50 €

TIM 7,094.80 € 592.77 € 1,921.89 € 9,609.46 € 9,609.46 € 13,937.50 €

NEC Lab. Europe 10,821.95 € 2,037.05 € 3,214.75 € 16,073.75 € 16,073.75 € 20,865.00 €

RWTH Aachen 60,519.76 € 4,600.24 € 16,280.00 € 81,400.00 € 81,400.00 € 81,400.00 €

FhG e.V. 58,934.61 € 3,834.66 € 15,692.32 € 78,461.58 € 78,461.58 € 126,775.00 €

Clepa 52,132,35 € 4,000.00 € 14,033.09 € 70,165.44 € 70,165.44 € 61,876.00 €

Sernauto 29,334.39 € 7,546.13 € 9,220.13 € 46,100.65 € 46,100.65 € 45,393.75 €

Total 558,852.05 € 103,593.31 € 165,543.71 € 827,717.58 € 827,717.58 € 996,718.50 €

Potential Impacts of the Project

• Clarification of user expectations from connected and automated driving => Input to OEM strategies on CAD

• Identification of hurdles in technology development and business models => Advice for STRIA 2.0 CAT process

• Development of a comprehensive roadmap methodology => Transfer to other disruptive technology fields

• Establishment of comprehensive and agile roadmaps for five L 4/5 CAD use cases => Alignment of (ETP) policies for CAD

• Gathering information about international activities in CAD => Strengthening EU competitiveness in CAD

• Organization of multi-stakeholder conferences and workshops => Building and strengthening EU CAD community

• Publication of project results in peer-reviewed books and journals => Growing the knowledge base about CAD

Final Review Meeting

Documents

Transcript of Final Review Meeting