Autonomous Vehicle Standards – A Comprehensive Discussion

Available On Demand until November 8, 2018

Click HERE to find the start time at your location

Vehicle Connectivity, including the real prospects of hands-free and fully autonomous driving, is revolutionizing personal mobility as profoundly as the invention of the automobile did 130 years ago. Cars, light trucks, and commercial vehicles equipped with vehicle-to-vehicle (V2V), vehicle-to-pedestrian (V2P), and vehicle-to-everything (V2X) technologies will reduce crashes, energy consumption and pollution, as well as mitigate the costs associated with traffic and parking congestion.

Vehicle manufacturers are investing heavily in these technologies required to help their products exchange information with each other, with infrastructure on the roadway, and download data from “the cloud,” to provide drivers higher levels of safety, assistance, and convenience.

Such complex integrated vehicle systems, especially in the widely connected smart environment rely on universal and agreed sets of standards to ensure accuracy, reliability, and performance.

This SAE Standards Webinar will provide an overview of the current key standards in the Automated Vehicle Sector:

SAE J3016™ (Taxonomy and Definitions)—Published in 2016, provides the first industry-accepted terminology and definitions related to automated/autonomous vehicles. The standard identifies six levels of driving automation from Level Zero (no automation, human driver in full control) to Level 5’s hands-off/feet off full vehicle autonomy. NHTSA “Federal Automated Vehicles Policy” has adopted the SAE definitions for levels of automation.

SAE J3018 (Safe Testing of Highly Automated Vehicles on Public Roads)—Published in May 2015, SAE’s On Road Automated Vehicle Committee (ORAV) provides much-requested guidelines for the safe conduct of on-road tests of vehicles equipped with prototype conditional, high, and full (Levels 3-5) automated driving systems, as defined by SAE J3016.

SAE J3131 Automated Driving Reference Architecture - SAE J3131 defines an automated driving reference architecture that contains functional modules supporting future application interfaces for Levels 3 through 5 (SAE J3016).


Dan Bartz, Automated Vehicle Engineer/Strategist, FCA Fiat Chrysler Automobiles  

Daniel Bartz has been working in the areas of vehicle automation and robotics for 17 years in the auto, defense, and startup communities. He received a Bachelor of Science degree in Mechanical and Electrical Engineering from Kettering University and a Master's Degree in Robotics from Carnegie Mellon in 2006. He participated in the 2005 and 2007 DARPA Challenges. Daniel serves as Chairperson of the SAE On-Road Automated Vehicle committee and Co-Chair of the SAE ORAV Automated Driving Reference Architecture task force.

Barbara Wendling, Principal Engineer, Automated Driving, Mercedes Benz R&D North America

Barbara Wendling has been working in automotive government and regulatory affairs since 1989, when she returned from a three-year stint in Yugoslavia working for Yugo America. Since then, she has worked for a trade association and 5 OE vehicle manufacturers before re-joining Mercedes-Benz Research & Development North America in March of 2016, where she serves as Principal Engineer specialized in automated driving. She holds a B.A. in Legal Studies from the University of California at Berkeley where she earned her degree while working as an ASE-certified automobile technician.


Lisa Arrigo, SAE International

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