The MathWorks Automotive Conference Experience
ADAS and Automated Driving
- What’s New in MATLAB and Simulink for ADAS and Automated Driving
- Developing Planning and Controls for Highway Lane Change Maneuvers
- Test Highway Lane Following with Intelligent Vehicles
AI in Engineering
- Tackling Fleet Test Data with MATLAB
- Machine Learning Case Studies for Quality Evaluations at TimkenSteel
- Advanced Capabilities for Embedding Machine Learning into ECUs
- Making MATLAB Data Analytics Accessible Across Enterprise
Parking is free. MathWorks recommends parking in the Grande Ballroom lot. Please arrive through the Grande Ballroom entrance to sign in and pick up your name badge.
A limited number of rooms are available at the Inn at St. John’s for a discounted rate. Reserve your room here before April 20.
Keynote: Designing the Farm of the Future
John Deere is the world’s premier farm equipment manufacturer and is committed to those linked to the land. We believe that in serving them, we support improving the quality of life for people all around the world. We see several major global trends affecting the agriculture industry: population growth, increased demand for food, larger farms, skilled labor shortages, and environmental sustainability. Within John Deere, the modeling community is building the infrastructure to meet these challenges efficiently and effectively through the use of systems engineering, model-based development, and simulation. This development balances the need for cutting edge tools with stable enterprise-wide infrastructure. This presentation will highlight the technology that Deere is currently using and developing to meet our needs spanning from component design to designing the farm of the future.
Emily Horn is responsible for leading the Advanced Simulation and Analysis team for John Deere’s Global Technology Innovation Network. In this role, she established the strategic roadmap for developing simulation technology to support emerging product needs across the business ecosystem. Her team’s mission is to grow simulation as a competency across John Deere, to develop new internal capabilities and infrastructure, and to direct university and industry research to meet John Deere’s needs. As part of her role, she coordinates research across global engineering centers and partners with the high-performance computing and software teams. Emily is focused on enabling model-based systems engineering and the deployment of simulation tools to an ever wider audience.
What’s New in MATLAB and Simulink for ADAS and Automated Driving
As the level of automation increases, the use scenarios become less restricted and the testing requirements increase, making the need for modeling and simulation more critical. In this session, you will learn how MATLAB® and Simulink® support engineers building automated driving systems with increased levels of automation. You will learn about new features in Releases 2019b and 2020a for:
- Designing perception, planning, and controls components
- Testing by simulating driving scenarios and sensor models
- Deploying by generating C/C++ code
You will learn about these topics through examples that you can reproduce when you return to your office.
Mark Corless is an automated driving segment manager at MathWorks, responsible for strategy planning and technology rollout. His focus is to help industry and academia leverage MATLAB and Simulink to develop automated driving applications. Prior to this role, Mark was a principal application engineer focused on simulation and code generation workflows for control and signal processing applications. During this time, Mark helped customers establish workflows to develop algorithms for implementation on embedded processors and FPGAs. Before joining MathWorks in 2004, Mark was a DSP engineer at Visteon, where he designed automotive audio and receiver systems. Mark has a master’s degree in electrical engineering from the University of Michigan, Dearborn.
- Simulink for Virtual Vehicle Development
- Using Model-Based Design for Vehicle Dynamics Simulation
- Building a Virtual Vehicle for Fuel Economy, Performance, and Thermal Analysis
- Best Practices for Developing a Virtual Electric Vehicle for Software Validation
June 23: Virtual Vehicle
Learn how John Deere, Ford, and Cooper Tire & Rubber Company are leveraging virtual simulation for vehicle and machine design and validation. Plus, MathWorks engineers will show the latest tool capabilities to enable virtual vehicle simulation.
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