ADAS and autonomous vehicles are profoundly disrupting the automotive industry. Major technological leaps are necessary to bring these disruptive innovations to life. Whole new engineering fields – such as artificial intelligence – need to be developed, yet time-to-market is short and competition intense. Estimates indicate that billions of miles of road testing will be necessary to ensure safety and reliability of ADAS and autonomous vehicles. This seemingly impossible task can only be accomplished with the help of engineering simulation.
With simulation, thousands of scenarios and design parameters can be virtually tested with precision, speed and cost economy. Join ANSYS as we discuss simulation challenges, methods, and best-practices for all aspects of autonomous vehicle simulation:
- Radar simulation
- Camera and lidar simulation
- Algorithm modeling and development
- Functional safety analysis
- Vehicle dynamics simulation
- World modeling and scenario simulation
- System and component simulation
Expert speakers from ANSYS as well as from customer and partner companies will provide insights into simulation methods along with real-life examples and demonstrations.
|8:00 - 9:00 AM
||Registration and Breakfast Reception
|9:00 - 9:30 AM
||Keynote: Simulation for Autonomous Vehicle Development
Sandeep Sovani, Director, Global Automotive Industry, ANSYS
|9:30 - 10:00 AM
||Industry Keynote: Autonomous Vehicle Safety
Philip Koopman, PhD, Chief Technologist and Co-Founder, Edge Case Research; Associate Professor, Carnegie Mellon University
|10:00 - 10:15 AM
|10:15 - 10:45 AM
||Radar Sensor Simulation
Markus Kopp, Principal Engineer, ANSYS
|10:45 - 11:15 AM
||ISO26262 and Systematic Functional Safety Analysis and Cybersecurity
Dr. Marc Born, Chief Technology Officer, ANSYS medini Technologies AG
|11:15 - 12:30 PM
|12:30 - 1:00 PM
||Embedded Software Development
Peter Haniak, Senior Business Development Manager, Systems Business Unit, ANSYS
|1:00 - 1:30 PM
||Simulation of Autonomous Military Vehicles and Robots
Dr. Mitchell Rohde, Chief Executive Officer, Quantum Signal
|1:30 - 1:45 PM
|1:45 - 2:15 PM
||System Simulation and Component Simulation for Vehicle Electrification
Zed Tang, Manager, Application Engineering, ANSYS
|2:15 - 3:30 PM
||Panel Discussion and Audience Q&A - Challenges and upcoming needs for ADAS and autonomous vehicle simulation
Moderator: Sandeep Sovani
Philip Koopman, PhD
Chief Technologist and Co-Founder, Edge Case Research
Associate Professor, Carnegie Mellon University
Dr. Koopman is an internationally known expert in the areas of autonomous vehicle validation, software safety, software quality, and embedded system design. He is a tenured faculty member at Carnegie Mellon University with appointments in the Department of Electrical & Computer Engineering, the Institute for Software Research, and the Robotics Institute.
Dr. Koopman has learned what it takes to get embedded software right over the course of more than 200 industry design reviews across a multitude of industries, and currently teaches embedded systems to both undergraduate and graduate students. He was the leader of the Ballista project at Carnegie Mellon that pioneered software robustness testing. He now has more than 20 years of experience with applying robustness testing to real-world systems, including the ASTAA and RIOT projects for autonomous vehicle and robot stress testing.
Dr. Koopman is the author of the book Better Embedded System Software, which distills his experience into a set of lessons learned that broadly apply across the entire embedded software industry. Additionally, he has served as the testifying expert on software safety in high profile automotive unintended acceleration cases. He holds 27 issued US patents and has well over 100 publications.
Dr. Koopman's background includes time as a submarine officer for the US Navy, a principal in a several startups, an embedded CPU architect for Harris Semiconductor, and an embedded system architect for United Technologies Research Center. At Carnegie Mellon he has worked in the broad areas of wearable computers, software robustness, embedded networking, dependable embedded computer systems, and autonomous vehicle safety.