RESEARCH FUNDING KEY TO AUTONOMOUS DRIVING

Transcription

1 DRIVING FUTURE PLATFORM - MARCH RESEARCH FUNDING KEY TO AUTONOMOUS DRIVING DR. ECKARD STEIGER ROBERT BOSCH GMBH

2 Automated Driving Key Element of Future Mobility Connected mobility Automated mobility Powertrain systems and electrified mobility fun and fascinating safe and comfortable efficient and economical 2

3 Strong Market Trend to Automated Driving (AD) 3

4 Large Variety of Use Cases, Functions & Vehicle Types Urban automated driving (SAE level 4, 5) Urban automated taxi (L4, L5) Urban pilot (L4) Urban mobility vehicles Passenger cars Automated driving on highways (SAE level 2-4) Highway assist (L2) Traffic jam pilot (L3) Highway pilot (L3) Highway pilot premium (L4) Highway pilot (L3) Auto pilot (>L3) Automated parking and ranging (SAE level 2-4) Home zone park assist (L2) Remote park pilot (L4) Automated valet parking (L4) Freight vehicles Truck terminal parking and ranging (>L4) 4

5 AD: Replica of Human Ability to Perceive, Decide and Execute Perceive / sense Think Trajectory planning / act Interpret / plan / decide Model the surroundings Monitor the driver Locate High degree of accuracy where the car is Reliable decisions Transport of information Safe and comfortable motion control 5

6 Exemplary Sensor Sets Passenger car PC UAT Urban automated taxi 6 Chassis Systems Control CC/BV

7 Locate - Bosch Road Signature 7 Chassis Systems Control CC-AD/PJ-MP

8 Key Challenges Collaboration is Essential 8 Source: ERTRAC Automated Driving Roadmap v7.0

9 Selection of EU funded projects with Bosch participation on CAD Use Case Pedestrian & Cyclists safety Truck Platooning CONCORDA Systems & Solutions Interaction between Electric drivetrain Pedestrian safety vehicles interact Sensor Technology Advanced vision systems High precision positioning Components CSAs as strategic instruments to support research activities 9 CAD Connected Automated Driving

10 High Level Group on Automotive Industry GEAR 2030 Recommendations for Connected Automated Driving (CAD) dedicated Public-Private-Partnership integrate resources from related areas such as cyber security, artificial intelligence, or Big Data overarching strategic plan for funding and financing CAD activities on national and European level involve European Commission, Member States and the relevant stakeholders Large scale demonstrations, pre-deployment projects and pilot initiatives involve all relevant stakeholders to remove technological, political and other types of barriers Member States and industry may consider an Important Project of Common European Interest (IPCEI) co-finance a large scale comprehensive project or project portfolio to develop, deploy and realize CAD in Europe Reinforce the competitiveness of the European automotive value chain. 10

11 Conclusion Automotive industry is biggest R&D investor in EU (about 50 billion in 2016 more than every fourth Euro invested in R&D in total). CAD is highly strategic for EU competitiveness. Combination of quick evolvement, variety of disciplines and long-term impact of CAD substantiates need for strong involvement of public and private stakeholders. A dedicated Public Private Partnership (PPP) for CAD under Horizon 2020 and its successor can leverage European strengths of multi-national research and industry to foster Europe to become global leader in the fast evolution and deployment of CAD. 11

12 THANK YOU