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Secrets of Autonomous Car Design

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Start Date:2/23/2016

Start Time:1:00 PM CST / 2:00 PM ET

Duration:60 minutes

Abstract:

An autonomous car is a highly complex, distributed, dynamic system. It must coordinate many component software modules continuously, make real-time local decisions based on system-wide constraints, and approximate global state. Builders of vehicle autonomy thus face a daunting challenge. To get a competitive edge, intelligent vehicle manufacturers must meet demanding distributed systems requirements, including safety, resilience, security, scalability, fault tolerance, and fast data processing.  These capabilities are far beyond those provided by older connection technologies such as CANbus.

 

Come learn how to leverage the most widely adopted, open, industry-leading standard for real-time and embedded systems: the Data Distribution Service (DDS). DDS provides a proven foundation for highly resilient and responsive distributed control systems. Its real-time performance, high reliability, open architecture, and publish/subscribe decoupling greatly accelerate and simplify distributed system development and makes it highly applicable for autonomous cars. DDS is the only technology that can deliver microsecond latency, IEC 26262 safety certification, top security, and operational proof in billion-dollar product lines.

Speakers

Stan Schneider, Ph.D.

CEO

Real-Time Innovations (RTI)


Stan Schneider is CEO at Real-Time Innovations (RTI), the Industrial Internet of Things communications platform company. RTI is the largest embedded middleware vendor and has an extensive footprint in all areas of the Industrial Internet, including energy, medical, automotive, transportation, defense, and industrial control.

 

In 2014, Stan was elected to the Industrial Internet Consortium Steering Committee. With over 140 companies, the goal of the IIC is to develop, test, and promote the standards that are crucial to the success of the next industrial revolution. Before RTI, Stan managed a large Stanford robotics laboratory, led an embedded communications software team and built data acquisition systems for automotive impact testing.

 

Stan completed his Ph.D. in Electrical Engineering and Computer Science at Stanford University, and holds a BS and MS from the University of Michigan. He is a graduate of Stanford's Advanced Management College.

Sponsor

Real-Time Innovations (RTI)


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