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Start Date:3/28/2019
Start Time:2:00 PM EDT
Duration:60 minutes
Abstract:
A connected and autonomous future for transportation requires a major leap in architecture and software innovation. In autonomous vehicles, an immense amount of data is passed between applications requiring safety, security and a more dynamic solution. A significant investment in new technology is needed to meet these functional system requirements, while also maintaining the high-standard of non-functional requirements for which the industry is known.
However, the existing electrical and software architectures cannot sustain this growth. They were not built for dynamic software configuration, they cannot handle large amounts of data and they require intensive efforts to customize software for each new vehicle model. If we look to other industries with similar requirements for performance, safety and redundancy, such as aerospace and defense, we see that a standards-based framework approach is critical. By building on established technologies and connecting across automotive ecosystems using standards, we can meet both the performance and non-functional requirements. The standard that is rapidly gaining traction in this industry is Data Distribution Service (DDS). RTI, with its Connext product suite, is the world’s largest vendor of products based on the DDS Standard. The automotive industry needs a common framework that can meet the performance, safety and security requirements necessary for Level 4 and Level 5 Autonomy. Of the dozens of platforms and architectures being developed for autonomous vehicles, there are 3-4 basic designs (ROS2, Adaptive AUTOSAR, Databus and the Apollo framework) that are most likely to win out. Each design has many variants and addresses a unique market challenge, and nearly all of them are based on DDS. DDS is a flexible connectivity framework that is already deployed in thousands of autonomous systems spanning industries, such as transportation, smart energy, aerospace and defense, training and simulation and healthcare. In this webinar, Bob Leigh, Senior Director of Automotive at RTI, will discuss how DDS was designed for mission-critical applications with safety concerns, making it the ideal connectivity framework for autonomous vehicles. He will dive into RTI’s newest release, Connext 6, and the features specifically designed to address the needs of Level 4 and Level 5 autonomous vehicles, such as support for very low latency and high data rates, integrated data-flow security, safety certification, and a data-centric, dynamic architecture. He will cover how this technology will ensure that the industry can innovate and compete based on a common software platform that will support autonomous vehicle requirements, now and into the future.
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Speaker
Bob Leigh Senior Director of Market Development RTI Bob Leigh is the Senior Director of Market Development at Real-Time Innovations (RTI). Bob has been developing new markets and building technology companies for over 15 years as an entrepreneur and technology leader. He graduated from Queen’s University with a degree in Mathematics & Engineering and has used his education in control and communication systems to develop embedded solutions for a variety of industries including energy, manufacturing, and transportation. Spending his career in small companies inspired Bob to found two companies of his own. At each venture, he led the charge to create new technologies for emerging markets and disruptive applications.
Bob joined RTI and spent his first 5 years developing and executing the company plan to enter the Automotive market, taking advantage of the twin disruptions of autonomous vehicles and electrification. Automotive is now RTI’s fastest growing market. As a market leader, the company is working with many of the manufacturers who are disrupting this market. Bob now leads the RTI Markets team driving the growing markets and looking for the next big disruption where RTI can apply its expertise to help solve society’s largest challenges.
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A Game-Changing Leap in Autonomous Vehicle Software Architecture
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