As vehicles transition from present day Level Two vehicles to full Level Four and Five autonomy, they will need to handle substantially larger amounts of data than ever before. Processing that data in a fast and seamless way will be one of the biggest challenges facing the automotive and technology industries during the next few years.

This report analyses the data processing challenges within the vehicle and, in addition, looks at challenges outside the vehicle, such as the implementation of a data network infrastructure (both cloud and edge based) and the wireless communications technologies required to provide fast and reliable communications between the vehicle and the wider world.

Table of Contents:

• Snapshot
• Key Planning Assumptions
• The Data Challenge
• Autonomous Vehicles Data Network Architectures
• Wireless Connectivity
• Impact on Automotive Semiconductors
• Conclusions
• Appendix

Related Reports:

• AI at the Edge: Deep Learning Sparks Innovation for Chip Vendors
• AI – Chip Vendors Making Big Bets on Artificial Intelligence

Number of Pages: 24
Author: Peter Richardson
Published On: 9 February, 2018

Picture Credits: “Driving on an Empty Highway with Trees”, Steve Freling, Flickr