Aired January 10, 2019
The smart machine era is transforming the automotive industry. Autonomous vehicles - or carbots - will fundamentally disrupt transportation systems. The biggest change is the way companies compete. For decades, cars competed primarily on performance, driver experience and style. Since carbots will most likely be offered as an Uber-like robotaxi model, none of these will soon matter. The new competitive basis is clear: cars will soon compete on software.
The needs of autonomous systems spawned data-centric connectivity. RTI’s technology was incubated in the Stanford Aerospace Robotics Lab to support flying and space robots. Today, the resulting DDS standard is by far the most adopted architecture. DDS is specified by the industry’s most important platforms like ROS2 and AUTOSAR. RTI alone has dozens of commercial autonomous vehicle projects and many more research and military projects.
Autonomous systems are great examples of the complexity of the Industrial IoT in general. We will use this example to dig into architectures for carbots, and in particular Level 4 & 5 autonomous systems. That will take us through dataflow control, system structure, productization from research, security design, safety certification and deployment configuration.
But, the fundamental reason these systems choose data centricity is…well, attend the webinar and find out!
Speaker
Stan Schneider, CEO RTI