Intelligent vehicles are complex distributed systems. An autonomous car combines vision, radar, lidar, proximity sensors, GPS, mapping, navigation, planning and control. These components must combine into a reliable, safe and secure system that can analyze complex environments in real time and react to chaotic environments.
So, what's the secret sauce of a successful design? Autonomous car makers need to consider three things:
Autonomy has a rich technology heritage in other industries, including aviation drones, space robotics and underwater vehicles
System components of all industry-proven autonomous designs interact through data flow and are able to control that dataflow exactly as needed by each component
Data-centric connectivity was originally created for autonomous systems because it excels at lifting all of the complexity of data flow interactions from the individual components
Learn about success of data-centric design in the domain of autonomous robotic systems and how data-centric architectures improve flexibility, reduce risk and lower lifecycle costs.