Executive Summary—Key Findings

Macro-level Outlook of Automated Driving—Driver Involvement

Market Size Analysis

Traditional vs. Non-traditional Automated Driving Approach

OEM Comparative Analysis—Overall Automated Driving Strategy

Sensor Portfolio for Automated Driving: Comparative Analysis

Key Technology Enablers for Automated Driving

Value Proposition of Automated Cars

Automated Driving Business Models

Executive Summary—Associated Multimedia

Research Scope

Research Aims and Objectives

Key Questions this Study Will Answer

Research Methodology

Key OEM/Player Groups Compared in this Study

National Highway and Traffic Safety Administration (NHTSA) Automated Driving Definitions

Classification and Definition of Automated Driving

Benefits of Vehicle Automation

Business Models around Automated Driving

Industry Challenges

Macro-level Outlook of Automated Driving—Application Convergence

Applications Required for Various Levels of Vehicle Automation

Convergence of ADAS and Connectivity

OEM Comparative Analysis—AD Specifics Comparison

OEM Comparative Analysis—AD Specifics Comparison (continued)

OEM Comparative Analysis—Automated Driving Cost and Packaging

OEM Comparative Analysis—Automated Driving Cost and Packaging

Other Applications for Automated Driving Vehicles

Other On-highway Applications for Automated Driving Vehicles

Off-highway Applications for Autonomous Driving Vehicles

Defense Applications for Autonomous Driving Vehicles

Questions about Key Human Factors

System Characteristics and HMI Development

Managing Control and Supervision

Human Factors in Fully-automated Vehicles

The Automated Vehicle EE Architecture Roadmap

Communications Technology Roadmap

Localisation Roadmap

Localisation Technology Roadmap

Comparative Analysis of Various Automotive sensors

Communication Networks Evolution

Automated Driving—Application Roadmap

Meeting the Design Challenges of Automated Vehicles

Cyber Security and Data Encryption

Design of Automated Vehicles

The Need for System Resilience

Design of Automated Vehicles

Requirements for the Design Process of Automated Vehicles

Systems Engineering Framework for Automated Vehicles

Validation and Testing of Automated Vehicles

System Assurance and Design Validation

Automated Vehicles Forecast—North America

North American Automated Vehicle Forecast Discussion

Automated Vehicles Forecast: Europe

European Automated Vehicle Forecast Discussion

Comparative Analysis—Automated Driving Cost & Packaging Analysis

Mercedes-Benz Optional Assistance Package

Vehicle Automation Snapshot—Audi

Audi Electronic Horizon

Audi Traffic Assist Activation and Manual Takeover

Audi’s Sensor Suite

Vehicle Automation Snapshot—BMW

Proposed Architecture for highly-automated Driving (HAD) Structure—BMW

BMW’s HAD Module

BMW’s Planned Fail-safe or Fail-operational Architectures

Vehicle Automation Snapshot—General Motors

Cadillac’s Approach to Automated Driving

Vehicle Automation Snapshot—Mercedes-Benz

Categorization of Automated Scenarios—Mercedes-Benz

Mercedes-Benz—Automated Driving Features

Overview of Mercedes-Benz Attention Assist

Mercedes-Benz Electronic Horizon

Mercedes-Benz aims to Utilize Stereo-vision to Protect Road-users

Vehicle Automation Snapshot—Volkswagen

Volkswagen Electronic Horizon

Volkswagen Temporary Auto Pilot (TAP)

Vehicle Automation Snapshot—Volvo

Volvo Electronic Horizon

Volvo Autonomous Parking

Google Car Project

Google Car—Sensors and Technologies Used

Key Innovations from Bosch

Key Innovations from Continental

Example Architectures of Highly- and Fully-automated Vehicles

Key Innovations from Valeo

Suppliers’ Automated Driving Capabilities Positioning

Multi-faceted Implications of Automated Driving

Purpose and Functional Requirements of Fully-automated Vehicles

Future Outlook and So-what Analysis

The Last Word—3 Big Predictions

Legal Disclaimer

First States to Allow Automated Cars on Public Roads in the US

Table of Acronyms Used

Learn More—Next Steps

Relevant Research

Market Engineering Methodology