NEXT CHAPTER MEETINGThe Engineering Society of Detroit
April 24, 2019
6:30 PM to 8:30 PM (EDT)
To deliver on the vast potential safety benefits, autonomous vehicles must be able to respond properly to incredibly diverse situations on the road, such as emergency vehicles, pedestrians, poor weather conditions, and a virtually infinite number of other
obstacles—including scenarios that are too dangerous to test in the real world. There’s no feasible way to physically road test vehicles in all these situations, nor is road testing sufficiently controllable, repeatable, exhaustive, or
fast enough. This presentation will look at what NVIDIA is doing in this area through its cloud-based platform, NVIDIA DRIVE Constellation, which enables millions of miles to be driven in virtual worlds across a broad range of scenarios. Capable of
simulating endless situations from routine driving to rare and dangerous environments, this large-scale validation capability is comparable to operating an entire fleet of test vehicles over many years in a fraction of time. Download Presentation Flyer
Bill Veenhuis, Senior Solutions Architect in the Automotive Group at NVIDIA, focusing on integration of NVIDIA technologies within vehicles to provide driver assistance to
self-driving vehicles. Motivated from a history of modeling and simulation of digital based automotive crash analysis in effort to dramatically reduce vehicle accident occurrences. Prior involvements included multi-touch panel software, graphics and
animation and high performance computing all leveraging NVIDIA GPU acceleration technologies.
Currently engaged with car and truck makers, tier 1 suppliers, HD mapping companies, sensor companies and startup companies that are all using the company's DRIVE PX hardware and software platform for autonomous vehicle development and deployment.
Bill serves on the Steering committee of Michigan Modeling, Simulation, Visualization and Immersive Technologies (MSV&I) in south east Michigan and an active member in both SAE and AIAA.
He holds a Bachelor of Science in Aerospace Engineering from University or Arizona.
Kevin Williams is an Enterprise Account Executive in the Automotive Group at NVIDIA, focusing on Data Center Technologies that accelerate the development and implementation of AI solutions using Deep Learning and Neural Networks. Additionally,
he’s responsible for the virtualization of high-performance engineering graphics for CAD and CAE applications. Prior to NVIDIA, he spent 12 years at Cisco, where he focused on high performance storage, networking and compute in the automotive
industry for traditional High-Performance Computing, Product Development and Manufacturing.
Kevin is currently engaged with Major Automotive Companies and Tier 1 Suppliers, developing Artificial Intelligence Solutions through the use of GPU-Accelerated Deep Learning and Neural Networks hardware and software architectures. These solutions include using neural nets for Autonomous Vehicles, supplements for traditional HPC, robotics and AI for smart factories.
He holds a Bachelor of Science in Business with a minor in Decision Science (Computer Programming, Mathematics and Statistic) from Miami University.
April 24th, 2019.
University of Michigan North Campus
Chrysler Center for Continuing Education, Room 165
Exam Proctor: Dr. Robert F. Bordley. ESEP
Members (regular or student) or prospective members of the Michigan Chapter of INCOSE are invited to take the INCOSE knowledge exam and get one step closer to INCOSE Certification at the ASEP or CSEP level. There is no cost to participate in this activity. Exam results will be emailed a month later.
Minneapolis/Saint Paul May 1-2, 2019
The Healthcare Working Group invites you to participate in the 5th Annual INCOSE Healthcare Systems Conference (2019) at Crowne Plaza AiRE Hotel, Bloomington, Minnesota. The INCOSE Conference on Systems Engineering in Healthcare enables participants to
share the best practices in the latest Systems Engineering topics as applied to Healthcare. The conference theme is “How SE Can Reduce Cost & Improve Quality.” Previous conferences focused on applying Agile methods to systems
with hardware and software. The 2019 conference will broaden the topics to include systems methods across healthcare delivery (direct patient care).
Oct 11-25, 2019
The theme of this year's GLRC is "Giant Leaps With Systems Engineering." The conference program will reflect on significant accomplishments of Systems Engineering, including celebration of the 50th Anniversary of the Apollo 11 moon landing. Looking ahead to the next 50 years, the GLRC13 will explore the possibilities with systems engineering in meeting the challenges of today and in the future.