RTI, an Industrial Internet of Things (IIoT) connectivity company, joins leading OEMs, Tier 1 suppliers and semiconductor companies in the consortium.
The company has extensive expertise in autonomy through its work with over 50 commercial autonomous system developers including Aptiv, Baidu and Xpeng Motors, among others. RTI said that it will work the AVCC to define the architecture to develop and run highly-autonomous vehicles, and support development phases from research to production.
The amount of technological innovation required to develop highly-autonomous vehicles demands collaboration at an industry level and requires the availability of a common architecture that these systems can be based on, regardless of the manufacturer, hardware or software selected.
Last year, industry leaders formed the AVCC to help solve the challenge of deploying safe self-driving vehicles. The organisation's primary purpose is to develop a computing platform designed specifically to move today’s prototype systems to deployment at scale. The group will also develop the requirements for software connectivity interfaces for each building block in an autonomous vehicle.
RTI Connext DDS is built on Data Distribution Service (DDS), a proven software connectivity standard and the company's newest product, Connext Drive, is the first software framework that can integrate multiple automotive specifications. RTI automotive experts will work with AVCC members on interface standards, real-time communication and next generation system architecture to advance the state-of-the-art in vehicle design.
“Autonomous vehicles are highly complex systems. Manufacturers need to ensure their systems can operate in diverse real-time environments, meet safety and security requirements, scale and interoperate within all autonomous vehicle systems,” said Bob Leigh, Senior Director of Market Development, Autonomous Systems at RTI. “We’re looking forward to actively collaborating with the AVCC and fellow industry leaders to tackle these technological challenges facing the higher levels of autonomous operation.”
