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Navigating the Virtual Road to Autonomous Driving: Using Simulations to Test, Train, and Validate Autonomous Vehicles

Level: Intermediate
Runtime: 92 minutes
Recorded Date: October 19, 2020
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  • What are autonomous vehicles (AVs)?
  • Reasons for using simulations to test and train AVs
  • How simulations work?
  • How the results of simulations may be used?
  • Ways simulation data might be used as evidence
  • Shared data v. proprietary data
Runtime: 1 hour, 32 minutes
Recorded: October 19, 2020


The pandemic has highlighted the benefits of, and need for, autonomous vehicles (AVs). The path to satisfying regulators and the American public that these vehicles are as safe as, or safer than, human drivers, remains unclear. It’s estimated that AVs will need to drive 11 billion miles in order to reach the same error rate as human drivers. Since this is impractical, simulations are being used to test and teach AVs in highly realistic virtual environments. These simulations have the advantage of enabling automakers to train AV systems on edge cases generated by artificial intelligence - situations that rarely, if ever, happen, and that could be prohibitively dangerous to create and test on roads with human drivers.

Our expert panelists as they examine how stimulations work, the advantages of using virtual reality for autonomous vehicle development and testing the data that is used and generated by stimulations.

This program was recorded on October 19th, 2020.

Provided By

American Bar Association
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Richard C. Kelley

Chief Engineer
Nevada Center for Applied Research (NAASIC)

Richard Kelley is the Chief Engineer at the Nevada Center for Applied Research.

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Justin S. Daniels

Baker, Donelson, Bearman, Caldwell, & Berkowitz, PC

Justin's corporate practice consists of representing domestic and international technology businesses and business owners in all aspects of their growth cycle, from structuring new ventures, raising capital and advising on acquisitions and divestitures to reviewing and negotiating key vendor, franchise, employment and customer contracts. He has closed M&A transactions valued collectively at more than $1 billion.

Justin provides his corporate clients a pragmatic approach to addressing cyber as a business enterprise risk at every stage in the business lifecycle. He specifically advises the c-suite and boards on identifying and managing cybersecurity risk with respect to mergers and acquisitions, investment capital transactions, vendor and customer contracts and cyber insurance. He leads breach incident response teams on ransomware and wire fraud cases in industries ranging from medical IT and logistics to manufacturing.

Justin also provides strategic advice to clients regarding blockchain technology. He represents one the largest cryptocurrency mining facilities in the country. He has helped clients create and iterate business models that address regulations including federal and state money transmitter laws. He has extensive and significant experience handling the power contracts and related critical infrastructure necessary to profitably engage in cryptocurrency mining.

In 2020, a smart city innovation lab engaged Justin to help build cybersecurity and privacy into the DNA as part of the launch of their facility. The innovation lab has a 5G-enabled three-mile autonomous vehicle test track, a 25,000 square foot innovation center and an intelligent network of connected IoT devices. The facility serves as a test bed for autonomous vehicles, drones, IOT devices, facial recognition technology and has a level 3 autonomous vehicle along with the first deployment of remote e-scooters in the United States. As part of the engagement, he designed the onboarding process for these projects and the privacy and security principles surrounding the collection and data use from the projects. He is an FAA licensed Part 107 Commercial UAS (Drone) pilot.

Justin will be speaking at RSA 2021 on the topic of quarterbacking breach response with law enforcement. He has given numerous key note presentations on topics including cybersecurity, integrated blockchain solutions and balancing technological innovation versus privacy and security.

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Gail L. Gottehrer

Law Office of Gail Gottehrer, LLC

Gail Gottehrer's practice focuses on technology-related litigation and counseling, including autonomous vehicle regulation, connected vehicle regulation, data privacy, biometrics, cybersecurity, facial recognition, and the IoT. She is one of the few defense lawyers to have been involved in the trial of a class action to verdict before a jury.

Gail is a frequent speaker on the implications of technology for the law and business operations, including eDiscovery and electronic evidence. She teaches Law for Knowledge Innovation at Columbia University, is a member of the Advisory Board for Rutgers University’s Leading Disruptive Innovation Program, and is a Fellow at the Center for Legal Innovation at Vermont Law School.

Gail was appointed as a Co-Chair of the State of Connecticut’s Task Force to Study Fully Autonomous Vehicles, the New York State Bar Association’s Transportation Committee, Law360’s Transportation Editorial Advisory Board, and the New York State Bar Association's Technology and the Legal Profession Committee. She is the New York Regional Co-Chair for the ABA’s Judicial Intern Opportunity Program, Co-Chair of the Programming Committee of the ABA’s Woman Advocate Committee, Vice-chair of the ABA-TIPS Automobile Litigation Committee, Co-Chair of the National Association of Women Lawyers’ IP & Technology Affinity Group, and a member of the Sedona Conference Working Group on eDiscovery Cooperation and Training (WG-1). She was selected as one the Profiles in Diversity Journal’s 2017 Women Worth Watching in STEM and one of the Connecticut Technology Council’s 2016 Women of Innovation.

Gail is a graduate of the University of Pennsylvania Law School, and served as a law clerk to the Honorable Murray C. Goldman, in the Philadelphia County Court of Common Pleas. She is admitted to practice in New York, New Jersey, Connecticut, and Pennsylvania.

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Hon. Ronald J. Hedges

Senior Counsel

Ronald is a member of Dentons' Litigation and Dispute Resolution practice group. He has extensive experience in e-discovery and in the management of complex litigation and has served as a special master, arbitrator and mediator. He also consults on management and discovery of electronically stored information (“ESI”).

Ron Hedges was a United States Magistrate Judge in the United States District Court for the District of New Jersey from 1986 to 2007. While a magistrate judge, he was the Compliance Judge for the Court Mediation Program, a member of the Lawyers Advisory Committee, and both a member of, and reporter for, the Civil Justice Reform Act Advisory Committee. From 2001 to 2005 he was a member of the Advisory Group of Magistrate Judges.

Ron was an adjunct professor at Seton Hall University School, where he taught mediation skills. He was an adjunct professor at Georgetown University Law Center and remains an adjunct professor at Rutgers School of Law—Newark. He taught courses on electronic discovery and evidence at both these schools. Ron was a Fellow at the Center for Information Technology of Princeton University for 2010-11 and 2011-12. He is also a member of the College of the State Bar of Texas.

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