From Prototype to Production: Building Tomorrow’s Autonomous Vehicles

The automotive landscape has evolved dramatically. Self‑driving cars are no longer speculative; they’re a growing reality. Yet the vision of sleek silver vehicles gliding through a city of tomorrow remains more fiction than fact.

Today’s autonomous vehicle projects start with diverse technology stacks. A Proof‑of‑Concept (PoC) must stitch together custom on‑premise and cloud applications, ensuring seamless communication across the entire system. Achieving this requires a robust Industrial Internet of Things (IIoT) framework, and RTI is ready to accelerate that journey.

Gentlemen, start your engines

Having joined RTI nearly four years ago, I’ve watched a surge of manufacturers dive into autonomous vehicle development. In my role, I partner with sales, partners, and strategic customers to deliver the solutions they need.

When is the right moment to enlist RTI’s expertise? As your PoC progresses, you’ll face inevitable roadblocks. A functional autonomous system must repeatedly sense its environment, process that data, and act accordingly. The volume and velocity of data can quickly outpace conventional processing pipelines.

Common challenges on the systems side of autonomous vehicles

At the core of any self‑driving car lies a sensor suite that ranges from basic driver‑assist tools to full autonomy. The level of fidelity dictates how much data you collect from LiDAR, radar, cameras, and other inputs. We call this sensor fusion or data fusion—only effective when all components share accurate, timely information.

Next comes the decision‑making layer: AI algorithms must translate raw data into actionable commands—turn left, go straight, brake, or adapt to pedestrians, cyclists, and other vehicles. Each decision triggers a physical change that feeds back into the loop, demanding real‑time responsiveness.

The crux is high‑level connectivity. Your system’s performance hinges on how quickly and reliably it captures, processes, and shares data—both internally and with external services such as cloud analytics. Building this around a flexible, massively scalable IIoT framework keeps you ahead of evolving standards and competitive pressures.

Where RTI comes in: Connext DDS and the layered databus

Scalability is the cornerstone of any autonomous platform. Transitioning from controlled test conditions to public deployment introduces mission‑critical requirements that many teams overlook. That’s where RTI steps in.

For years we’ve supported autonomous systems in defense—long before the term entered automotive chatter. Leveraging that experience, RTI offers a dependable software foundation, freeing your developers to focus on vehicle logic instead of reinventing the wheel.

Our Connext DDS software embodies this principle. It implements the Industrial Internet Consortium’s (IIC) layered databus—an architecture RTI helped shape. The layered databus separates control and information planes, allowing you to assign Quality‑of‑Service (QoS) policies for reliability, bandwidth, and latency across diverse use cases.

Because the same standard applies across the ecosystem, you avoid the need for custom protocols, gateways, or bridges. Connext DDS automatically enforces data‑management rules that guarantee consistency and repeatability, whether you’re running on‑premise or in the cloud.

In short, RTI’s Connext DDS gives your team a proven, scalable connectivity layer—so you can concentrate on engineering the vehicles of the future. Download the Connext DDS automotive datasheet to see how it meets industry demands.