Slide 1: Technology Overview: Enabling Automated Driving
Technology Overview: Enabling Automated Driving Glen De Vos Chief Technology Officer 1
Slide 2: Forward-looking statements
Forward-looking statements This presentation, as well as other statements made by Delphi Automotive PLC (the “Company”), contain forward-looking statements that reflect, when made, the Company’s current views with respect to current events, certain investments and acquisitions and financial performa
Slide 3: Today's discussion
Today’s discussion • Safe, green and connected megatrends driving increased computing, signal and power demands Continued proliferation of wiring and ECUs to support incremental content becoming unsustainable ADAS and Infotainment features requiring more automation, software and signal distribut
Slide 4: Megatrends driving computing power requirements
Megatrends driving computing power requirements 2010 2015 2020 2025 Assisted Conditional Safety Fully automation automation eco-system autonomous Increasing Smartphone Full cloud Internet personalization integration connectivity of things Convergence of megatrends driving demand for increased comput
Slide 5: E/EA and E&S vision: Enabling smart vehicle architectures
E/EA and E&S vision: Enabling smart vehicle architectures INTERNET OF THINGS BRAIN NERVOUS SYSTEM SYSTEMS INTEGRATION FEATURES AND Software Enabled Vehicle Features High Speed Sensing and Networking CONTENT Active Safety & Infotainment & Power and Signal OTA and Vehicle Data and Services PLATFORMS S
Slide 6: Vehicle architecture evolution
Vehicle architecture evolution Multi- Gigabit Ethernet 10 Gbps HDBaseT 6 Gbps Base T1 CAN MOST25 LIN FlexRay MOST50 MOST150 1 Gbps < 1 Mbps 25 Mbps 20 Mbps 10 Mbps 50 mbps 150 mbps 1990 2000 2010 2020 Exponential increases in data content and speeds 6
Slide 7: Vehicle computing evolution
Vehicle computing evolution Distributed ECUs Domain Centralization Software Defined Vehicle Yesterday Tomorrow • Separate ECUs with individual custom microprocessors • Centralized compute platforms • Primarily low and mid speed data busses • High speed busses (ETH, LVDS, HDBaseT) • Conventional powe
Slide 8: Computing platform: Multi Domain Controller (MDC)
Computing platform: Multi Domain Controller (MDC) Active Safety Multi-Domain Controller (MDC) ADAS Centralized Sensor Fusion/Control Production 2017 Launch Front Radar Camera Airbag ESC LiDAR Rear & Side Controller Controller Controller Controller Controller Radar Controller • Scalable software plat
Slide 9: Demonstrated automated leadership
Demonstrated automated leadership A rich history of firsts and milestones in active safety and automated driving 9
Slide 10: CSLP platform and milestones
CSLP platform and milestones Key strategic partnerships enabling the CSLP platform execution 10
Slide 11: Automated Driving Platform Architecture
Automated Driving Platform Architecture Deterministic Policy Artificial Intelligence (AI) Absolute rules that govern vehicle AI teaches the car “how” to drive, behavior, which are used to set through path planning, object boundaries of operation classification and prioritization + Predictable, repea
Slide 12: Take the strengths of both approaches
. Take the strengths of both approac es'to. obtain the benefits of Al within a configu : deterministic framework 2 & START WITH POLICY FIRST Absolute rules that govern how the: vehiclé- performs, and can = ‘changed, or updated a required Al COMPLETES THE SOLUTION Sa Teach the car how to drive, recog
Slide 13: Data Analytics & Smart Cities
Data Analytics & Smart Cities DELPHI
Slide 14: We are only at the beginning …
We are only at the beginning … New Mobility Concepts IoT Big Data Content Strategy Usability & Information Accessibility Architecture User Functionality Interface Platform The vehicle is becoming a software and data driven platform 14
Slide 15: Delphi: Smart mobility architecture
Delphi: Smart mobility architecture Smart Vehicles Smart Connectivity Smart Cloud • Connected Server Platform • Secure Gateway • Data Market Place & Analytics • High Speed Data Network • Edge Processing • IoT Server • Software Abstraction • Firmware / Software Over the Air • Configuration Manager •
Slide 16: Connectivity smart vehicle architecture
Connectivity smart vehicle architecture Smart mobility architecture enabling the software defined vehicle 16
Slide 17: Delphi end to end data management solution
Delphi end to end data management solution Acquisition Configuration Monetization Real time vehicle data monitoring Vehicle telematics, analytics Online marketplace managing and edge processing and Over The Air (OTA) updates monetization and data privacy Passenger Vehicles Commercial Vehicles Consum
Slide 18: Delphi offering fully connected vehicle platform
Delphi offering fully connected vehicle platform CUSTOMER OEM / RETAIL / FLEET DATA USERS VEHICLE PLATFORM • Third party data exchange • Fleet Management • Transport Services • Insurance • CT-EDGE Data Acquisition • Vehicle Maintenance • Config Management • Retail • Business Intelligence • Emergency
Slide 19: Illustrative Data Services use cases
Illustrative Data Services use cases Roadside Assistance Retail Smart Cities 19
Slide 20: Why smart cities?
Why smart cities? Station zero for mobility 20
Slide 21: Urban mobility challenges by 2050
Urban mobility challenges by 2050 4H A Hie # Ht F) N eeee rtett Co as +70% 5x 4x 3x +40% #people emissions cost travel time freight DELPHI
Slide 22: Benefits of mobility automation to cities
Benefits of mobility automation to cities 28% 44% 30% 66% 87% Less vehicles Fewer parking Shorter travel Lower Fewer spaces time emissions accidents Ga Gi Ge Ge Ga E> Ge Gp Ge Gap Ge Ge Gi Ge Ge Ee “Research by Arthur D Litt
Slide 23: Smart city examples
Smart city examples Singapore AMoD Transdev Trial of an urban, point-to-point, low-speed, autonomous, mobility- Pilot for first open road, autonomous on- on-demand service in Singapore's one-north business park demand mobility service in the EU. Continued progress in real world applications 23
Slide 24: Summary
Summary Delphi uniquely positioned to enable smart mobility architectures 24
Slide 25: DELPHI
DELPHI Innovation for the Real World