Table of Content


1 ECU to DCU
1.1 ECU
1.1.1 Definition of ECU
1.1.2 Typical Block Diagram of Automotive Electronics Control Circuit
1.1.3 Automotive ECU Industry Chain
1.1.4 Development of ECU
1.1.5 ECUs Increase and DCU Debuts

1.2 DCU
1.2.1 Definition of DCU
1.2.2 Five Typical DCUs
1.2.3 Why to Use DCUs
1.2.4 Main Functions of DCU
1.2.5 Development Trends of DCU
1.2.6 DCU Ecosystem
1.2.7 Global Passenger Car DCU (Cockpit + Autonomous Driving) Market Size
1.2.8 High Performance SoC Processors Boost DCU Market


2 Automotive Electronic/Electrical Architecture (EEA)
2.1 Development Trends of EEA
2.1.1 Evolution of EEA
2.1.2 Development Trends of EEA
2.1.3 Three Stages of Future EEA Development
2.1.4 Integration Trends of EEA
2.1. Development Trends of New-EEA-based Intelligent Vehicles
2.1.6 Core Technologies for Redefined Intelligent Vehicle (1)
2.1.7 Core Technologies for Redefined Intelligent Vehicle (2)
2.1.8 Core Technologies for Redefined Intelligent Vehicle (3)
2.1.9 Core Technologies for Redefined Intelligent Vehicle (4)
2.1.10 Core Technologies for Redefined Intelligent Vehicle (5)
2.1.11 Core Technologies for Redefined Intelligent Vehicle (6)

2.2 Development Trends of Tier1’s EEA
2.2.1 Bosch EEA Evolution Strategy
2.2.2 Bosch Intelligent Vehicle Multi-domain Architecture
2.2.3 Aptiv Smart Vehicle Architecture (SVA)
2.2.4 Aptiv EEA Evolution Strategy
2.2.5 Continental Distributed EEA
2.2.6 NXP Next-generation EEA

2.3 Development Trends of OEM’s EEA


3 Intelligent Cockpit DCU
3.1 Development Trends of Intelligent Cockpit DCU
3.1.1 3 ECUs in a Convectional Cockpit System can be Integrated into an Intelligent Cockpit DCU
3.1.2 Cockpit Domains before and after 2020
3.1.3 Example of Complex Intelligent Cockpit DCU Design
3.1.4 Visteon’s Prediction of Intelligent Cockpit DCU Market

3.2 Intelligent Cockpits and DCU Solutions
3.2.1 Comparison between Main Foreign Cockpit Platform Solutions
3.2.2 Comparison between Main Cockpit Platform Solutions in China
3.2.3 Solutions and Customers of Typical Cockpit DCU Vendors
3.2.4 Main Automotive Intelligent Cockpit Platforms of OEMs and Their Suppliers Worldwide

3.3 Intelligent Cockpit Processors
3.3.1 Mainstream Intelligent Cockpit Processors in Current Market
3.3.2 Qualcomm Cockpit Processors
3.3.3 Qualcomm Snapdragon Cockpit Processors
3.3.4 Renesas Cockpit Processors
3.3.5 Intel Cockpit Processors
3.3.6 NXP Cockpit Processors
3.3.7 TI Cockpit Processors
3.3.8 Samsung Cockpit Processors
3.3.9 Allwinnertech Technology’s Cockpit Processors
3.3.10 MediaTek Cockpit Processors
3.3.11 Horizon Robotics’ Cockpit Processors


4 ADAS/AD DCUs and Chips
4.1 Development Trends of ADAS/AD DCU
4.1.1 ADAS Distributed ECU and ADAS/AD DCU
4.1.2 Overview of ADAS/AD DCU
4.1.3 Visteon’s Prediction of ADAS/AD DCU Market
4.1.4 Typical Architecture Solutions of ADAS/AD DCU
4.1.5 Development Trends of Autonomous Driving DCU

4.2 ADAS/AD DCU Solutions
4.2.1 Typical ADAS/AD DCUs (13)
4.2.2 List of Foreign Vendors’ Layout of ADAS/AD DCU (1)
4.2.3 List of Foreign Vendors’ Layout of ADAS/AD DCU (2)
4.2.4 List of Foreign Vendors’ Layout of ADAS/AD DCU (3)
4.2.5 List of Chinese Vendors’ Layout of ADAS/AD DCU (1)
4.2.6 List of Chinese Vendors’ Layout of ADAS/AD DCU (2)
4.2.7 Main Automakers’ ADAS/AD DCU Platforms and Suppliers Worldwide

4.3 ADAS/AD DCU Chips
4.3.1 DCU Chip Vendor: NVIDIA
4.3.1.1 NVIDIA Drive Ecosystem
4.3.1.2 NVIDIA Drive Autonomous Driving Chip Portfolios
4.3.1.3 NVIDIA Software-defined Automotive Platform
4.3.1.4 NVIDIA’s Technology Cooperation

4.3.2 DCU Chip Vendor: TI
4.3.2.1 TI Autonomous Driving Chip Architecture
4.3.2.2 TI Launched New Chips for ADAS
4.3.2.3 TI Autonomous Driving Chips

4.3.3 DCU Chip Vendor: Renesas
4.3.3.1 Renesas R-Car
4.3.3.2 Renesas Autonomous Driving Chips
4.3.3.3 Renesas L4 Computing Platform Architecture
4.3.3.4 Renesas Autonomy Platform

4.3.4 DCU Chip Vendor: Qualcomm

4.3.5 NXP DCU Chip Vendor: NXP
4.3.5.1 Application of NXPS32 Family Product Lines
4.3.5.2 NXPS32 Family: Based on ARM Cores
4.3.5.3 NXPS32 Family: Applied in ADAS and Autonomous Driving
4.3.5.4 NXPS32 Family: Chip Technology Roadmap
4.3.5.5 NXP Launched Next-generation S32 Computing Platform
4.3.5.6 NXP Autonomous Driving Computing Platform: Bluebox
4.3.5.7 NXP Bluebox Roadmap
4.3.5.8 Cooperation with Kalray
4.3.5.9 NXP’s Opinions on Automotive Electronics Evolution

4.3.6 DCU Chip Vendor: Intel
4.3.6.1 IntelGo
4.3.6.2 Mobileye EyeQ Family Product Roadmap
4.3.6.3 Mobileye EyeQ5 Product Progress
4.3.6.4 Integration between Mobileye EyeQx Product Lines and INTEL System
4.3.6.5 Total Shipments of Mobileye EyeQ Family Chips, 2014-2019

4.3.7 Horizon Robotics
4.3.7.1 Autonomous Driving Processors
4.3.7.2 Performance Parameters of Chips
4.3.7.3 Autonomous Driving Computing Platform
4.3.7.4 Automotive-grade AI Chip Customers

4.3.8 Other Chips for DCU
4.3.8.1 ARM Autonomous Driving Safety Processors
4.3.8.2 ARM Autonomous Driving Cores
4.3.8.3 ARM Industrial Cooperation
4.3.8.4 Infineon Multi-core Microcontrollers (1)
4.3.8.5 Infineon Multi-core Microcontrollers (2)
4.3.8.6 Xilinx FPGA
4.3.8.7 Application of Xilinx FPGA in Autonomous Driving and Industrial Cooperation
4.3.8.8 Xilinx Marched in ADAS/AD Market
4.3.8.9 Customers and Partners


5 Foreign DCU Vendors
5.1 Visteon
5.1.1Profile
5.1.2 Product Lines
5.1.3 Development Plan for Cockpit Electronics and Autonomous Driving
5.1.4 Business Progress Worldwide, 2019
5.1.5 Business Progress in China, 2019
5.1.6 DCU Business Progress and Expectation, 2019
5.1.7 Autonomous Driving Platform
5.1.8 Progress in Autonomous Driving Business, 2018
5.1.9 Progress in Autonomous Driving Business, 2019
5.1.10 Intelligent Cockpit DCU
5.1.11 Cockpit DCU Application Cases

5.2 Continental
5.2.1 Profile
5.2.2 Business Progress Worldwide, 2019
5.2.3 Layout of Autonomous Driving Product Lines
5.2.4 Autonomous Driving DCUs
5.2.5 Computing Power of Autonomous Driving DCU Chips
5.2.6 Development Plan for Automotive High Performance Computer Platform
5.2.7 Autonomous Driving DCU Partners
5.2.8 Cockpit DCUs
5.2.9 Security DCUs

5.3 Bosch
5.3.1 Business Progress Worldwide, 2019
5.3.2 Layout of Autonomous Driving Product Lines
5.3.3 Prediction of Next-generation Automotive Architecture Evolution
5.3.4 Intelligent Vehicle Multi-domain Architecture
5.3.5 Mixed Framework of ECU for Domain Classification
5.3.6 Autonomous Driving DCU Technology Roadmap
5.3.7 Performance Parameters of Autonomous Driving DCU Products
5.3.8 Development Plan for Autonomous Driving DCU
5.3.9 Development Plan for Computing Power of Autonomous Driving DCU
5.3.10 Comparison of Autonomous Driving DCUs between Bosch and Its Counterparts
5.3.11 Autonomous Driving Software Architecture (1)
5.3.12 Autonomous Driving Software Architecture (2)
5.3.13 Intelligent Cockpit Domain Architecture (1)
5.3.14 Intelligent Cockpit Domain Architecture (2)
5.3.15 Intelligent Cockpit Software R&D Partners

5.4 Veoneer
5.4.1 Business Progress, 2019
5.4.2 Layout of Autonomous Driving Product Lines
5.4.3 Active Safety Platform Architecture and Development Strategy
5.4.4 ADAS Controllers
5.4.5 ADAS/AD ECU
5.4.6 Functional Architecture of ADAS/AD ECU
5.4.7 Autonomous Driving Software Development
5.4.8 New Products Plan, 2019

5.5 ZF
5.5.1 Business Progress and Revenue Structure, 2019
5.5.2 Autonomous Driving DCU Product Plan
5.5.3 Progress in Application of Autonomous Driving DCU in China
5.5.4 Latest-generation Autonomous Driving DCUs
5.5.5 Development Roadmap and Mass-production Plan for Autonomous Driving DCU
5.5.6 Mass-production Plan for L2.5 Automated Driving Solutions
5.5.7 L4 Automated Driving Partners
5.5.8 Cooperation with Xilinx
5.5.9 Cooperation with Microsoft

5.6 Aptiv
5.6.1 Business Progress, 2019
5.6.2 Organizational Structure Adjustment
5.6.3 New Strategic Position
5.6.4 Intelligent Vehicle Architecture Design
5.6.5 Intelligent Vehicle Architecture Design: Features
5.6.6 Intelligent Vehicle Architecture Design: Topology
5.6.7 Intelligent Vehicle Architecture Design: Challenges for Development and Production
5.6.8 Intelligent Vehicle Architecture Design: Software-defined Platform
5.6.9 Intelligent Vehicle Architecture Design: Technological Strengths
5.6.10 Autonomous Driving Computing Platform
5.6.11 Cooperation with Others on DCU Development
5.6.12 Intelligent Cockpit DCUs

5.7 Magna
5.7.1 Business Progress, 2019
5.7.2 Autonomous Driving Product Lines
5.7.3 Autonomous Driving Platform DCUs
5.7.4 Features of Autonomous Driving Platform DCU
5.7.5 Launch of Highly Integrated Autonomous Driving Development Platform

5.8 Tesla Autonomous Driving Platform
5.8.1 Autopilot: Hardware Development Roadmap
5.8.2 Autopilot: Function Upgrade Path
5.8.3 Autopilot: Software Upgrade Path
5.8.4 Features of DCU (1)
5.8.5 Features of DCU (2)
5.8.6 Features of DCU (3)
5.8.7 Features of DCU (4)
5.8.8 Features of DCU (5)
5.8.9 New ECU Architecture
5.8.10 ECU Motherboards for Multimedia and Autonomous Driving
5.8.11 Tesla Model 3 Central Computing Modules
5.8.12 AutoPilot 3.0 Chip

5.9 TTTech
5.9.1 Profile
5.9.2 Autonomous Driving Solutions
5.9.3 Cooperation with Others on Development of Autonomous Driving DCUs
5.9.4 Technological Strengths of Autonomous Driving DCU Platform
5.9.5 Autonomous Driving Safety Software Platform
5.9.6 Cooperation with SAIC

5.10 Faurecia
5.10.1 Faurecia’s Business Progress, 2019
5.10.2 Business Progress of Faurecia Clarion Electronics, 2019
5.10.3 Global Presence of Faurecia Clarion Electronics
5.10.4 Product Lines of Faurecia Clarion Electronics
5.10.5 Ecosystem of Faurecia Clarion Electronics
5.10.6 Faurecia’s Next-generation Cockpit Intelligence Platform (CIP)
5.10.7 Faurecia’s Cockpit Strategic Layout
5.10.8 Faurecia Steps up Deployment of Its Intelligent Cockpit Strategy in China

5.11 Panasonic
5.11.1 Cockpit DCU Solutions
5.11.2 Cockpit Electronics Layout
5.11.3 Cockpit Electronics Computing Architecture


6 Chinese DCU Vendors

6.1 Huawei
6.1.1 Autonomous Driving Computing Platform
6.1.2 Intelligent Vehicle Development Strategy
6.1.3 Framework of MDC Autonomous Driving Computing Platform
6.1.4 Overall Architecture of MDC Autonomous Driving Computing Platform
6.1.5 MDC Autonomous Driving Software Platform and Software Development Kits
6.1.6 MDC Autonomous Driving Computing Platform Passed Automotive Certification of TUV
6.1.7 CDC Intelligent Cockpit Platform

6.2 Baidu
6.2.1 Baidu Autonomous Driving Brain (1)
6.2.2 Baidu Autonomous Driving Brain (2)
6.2.2 Baidu Autonomous Driving Brain (3)
6.2.3 Autonomous Driving Computing Platform?Baidu Computing Unit (BCU)
6.2.4 BCU: Product Partners
6.2.5 BCU: Performance Parameters of Products
6.2.6 Autonomous Driving DCU Product Roadmap

6.3 Desay SV
6.3.1 Strategic Layout
6.3.2 Intelligent Cockpit Product Lines and Customers
6.3.3 Intelligent Cockpit Products
6.3.4 Cooperation with Intelligent Cockpit Customers (1)
6.3.5 Cooperation with Intelligent Cockpit Customers (2)
6.3.6 Autonomous Driving DCU Partners
6.3.7 Participation in Apollo
6.3.8 Autonomous Driving Business Layout
6.3.9 Highway Pilot and AVP Solution

6.4 IN-DRIVING
6.4.1 Profile
6.4.2 Latest-generation Autonomous Driving DCUs
6.4.3 Autonomous Driving DCUs
6.4.4 Commercial Use of Autonomous Driving DCUs
6.4.5 Cooperation with Huawei
6.4.6 DCU Product Roadmap

6.5 iMotion
6.5.1 Profile
6.5.2 Central DCU

6.6 HiRain Technologies
6.6.1 ADAS DCUs
6.6.2 Body DCU Architecture

6.7 Neusoft & Neusoft Reach
6.7.1 Neusoft’s Layout of Intelligent Connected Vehicle
6.7.2 Neusoft Reach’s Software-defined Computing (SDC) Solutions
6.7.3 Neusoft Reach’s SDC Core Platform
6.7.4 Neusoft Reach NeuSAR 2.0 and Universal DCUs
6.7.5 Neusoft Reach’s Autonomous Driving DCU Partners
6.7.6 Features of Neusoft Reach’s Autonomous Driving DCU
6.7.7 Neusoft’s Intelligent Cockpit Platform Partners
6.7.8 Neusoft’s Vehicle Computing Platform (VCP)

6.8 Hong Jing Drive
6.8.1 Autonomous Driving DCUs
6.8.2 Autonomous Driving DCU Technology Roadmap

6.9 Hangsheng Electronics
6.9.1 Product Layout
6.9.2 Intelligent Cockpit Ecosystem
6.9.3 Intelligent Cockpit Rapid Iteration Capability
6.9.4 Intelligent Cockpit Customers

6.10 CooKoo Technology