What is changing in terms of architecture, design and validation of Automated Vehicles? In order to provide strategic answers Frost & Sullivan conducted a global analysis of industry activity on Automated Driving. The Case Study compares functional roadmaps, technology preferences and different alternatives. Moreover it deals with pricing implications for consumers, OEMs and suppliers.
Key Learning Points
- The biggest challenge in taking the driver out of the loop is to make the car think like a human driver.
- While ADAS functionalities form the basis for vehicle autonomy, connected solutions ensure getting the most out of automated driving.
- Besides the obvious ownership-based model, a new subscription-based driving-as-a-service business model can allow for autonomous driving.
- The Google X automation module employs some of the finest and expensive sensors available today, enabling a transition to ADAS-enabled maps with accuracy of 10cm.
Download the Case Study: “Frost & Sullivan – The Future of Autonomous Driving” and get an overview of market & technology road maps, changes in architecture, design, testing and validation of automated vehicles.