+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Automotive ECUs for ADAS and Autonomous Driving Systems, North America and Europe, 2017

  • Report

  • 76 Pages
  • April 2018
  • Region: Europe, North America
  • Frost & Sullivan
  • ID: 4536346

With the advent of autonomous driving, humans are slowly being asked to relinquish control to the vehicle. However, in the near future, as the automotive industry paves the way from manually driven vehicles to fully autonomous vehicles via semi-autonomous vehicles, changes in the vehicle E/E architecture that help achieve this transition should be scrutinized closely. This study analyzes the transition of autonomous ecosystem from ADAS ECUs to the ECUs and E/E architecture required to enable autonomous driving.

The current market is dominated by ADAS ECUs supporting L2 features and vehicles on road are yet to advance from L2; however, suppliers are in the process of developing ECUs for HAD and AD. The regulatory mandate of LDW and AEB will drive the demand for ADAS ECUs in the near future.

However, the traditional approach of adding discreet ECUs for every new feature will affect the performance of an autonomous vehicle by adding complexity to the E/E architecture and slowing down the communication of safety critical information. Due to increase in complexity and cost, domain-controlled architecture and Ethernet backbone will be important to future E/E development.

Domain -controlled architecture will support autonomous driving by enabling high-speed communication for critical information and will allow easy development of fail operational system. From domain-controlled E/E architecture, it will eventually evolve to a centralized architecture.

Early mover advantage in the autonomous ecosystem has gained NVIDIA ample traction while Intel’s greater resources have enabled Intel to set up a robust product portfolio through acquisition, Mobileye in particular. NXP and Renesas are pioneers in the automotive semiconductor market and have ample experience in manufacturing automotive-grade semiconductors. This study delves into the autonomous solutions developed by these companies and compares their solutions.

These solutions from Tier II are integrated by Tier I suppliers to cater to the demands of OEMs. Aptiv and Mobileye have developed a multidomain controller while ZF and NVIDIA have partnered to develop a safety domain ECU named ProAI.

Most OEMs are aggressive when it comes to the development of autonomous driving and are constantly in search for advanced technology suppliers in the market—both matured developers and autonomous start-ups. Most OEMs have already partnered with Tier I suppliers or have formed alliances with multiple OEMs and suppliers for the development of technology. Audi showcased its domain-controlled architecture, zFAS, developed in partnership with NVIDIA, Mobileye, Infineon, Intel Altera, TTTech and Aptiv.

Table of Contents

1. Executive Summary
Executive Summary-Highlights
Key Findings-ADAS ECU Market
Key Findings-ADAS ECU Developers
Key Findings-Domain Controllers
Key Findings-Autonomous Solution Developers
Key Findings-System Integrators
Key Findings-OEM Approach
Key Conclusions and Future Outlook
2. Research Scope, Objectives, and Methodology
Research Scope
Research Aims and Objectives
Key Questions This Study Will Answer
Research Methodology
3. Definitions
E/E Architecture Definitions
Sensors Currently Used Across Applications
Society of Automotive Engineers (SAE) Definitions
4. ADAS ECU Market
ADAS ECU Outlook
ADAS ECU Market for L1-BSD, LDW, NV
ADAS ECU Market for L2-PA, ACC, AEB
Mitsubishi Electric
Hitachi Automotive Systems
TTTech Computertechnik AG
5. Migration from ADAS to Autonomous Driving
Feature Adoption for Each Level of Autonomous Driving
Levels of Autonomous Driving and Sensors
ECUs for Autonomous Applications
6. Need for Domain-controlled architecture
Problems with Current Architecture
Evolution of E/E Architecture
Advantages of Domain Controllers
Domain-controlled Architecture
7. Evolution of E/E Architecture
Evolution of E/E Architecture
Types of Future Architecture
8. Major Autonomous Driving Solution Developers
NVIDIA Drive PX Family
Intel GO Platform
EyeQ Series
NXP Semiconductors
NXP BlueBox
Renesas Autonomy
Competition Landscape
9. System Integrators
Continental Safety Domain ECU
Aptiv Multidomain Controller
10. OEM Approach
zFAS (zentrale Fahrerassistenzsteuergerät)-Audi
11. Growth Opportunities and Companies to Action
Growth Opportunity-Investments and Partnerships from OEMs/TSPs
Strategic Imperatives for Success and Growth
12. Conclusions and Future Outlook
Key Conclusions and Future Outlook
The Last Word-3 Big Predictions
Legal Disclaimer
13. Appendix
List of Exhibits
Market Engineering Methodology
Abbreviations and Acronyms Used

Companies Mentioned

A selection of companies mentioned in this report includes:

  • Audi
  • Intel
  • EyeQ
  • NXP
  • Renesas
  • Aptiv
  • ZF ProAI
  • zFAS
  • ADAS
  • Mitsubishi Electric
  • Autoliv
  • Hitachi
  • TTTech Computertechnik AG