Upcoming MATLAB and Simulink Webinars

Developing Automated Driving Systems with MATLAB and Simulink


ADAS and autonomous driving technologies are redefining the automotive industry ranging from daily commutes to commercial haulage. Engineers across the industry use Model-Based Design with MATLAB® and Simulink® to develop their automated driving systems. In this talk facilitated by IMechE, Marc demonstrates how these tools serve as an integrated development environment for the different domains required for automated driving, including perception, sensor fusion, and control design.

Join this session to learn how to:

  • Visualise vehicle sensor data from radar, vision and lidar systems
  • Develop deep learning algorithms to detect and verify objects in images
  • Fuse and track multiple object detections
  • Build scenario simulations to test the performance of ADAS systems

About the Presenter

Marc Willerton is an application engineer at MathWorks, specialising in signal processing and communications with MATLAB and Simulink. Primarily, Marc works with customers around applications including wireless communications (including LTE and WLAN), software-defined radio, RF design, radar, and sonar. Before joining MathWorks in 2013, Marc spent a number of years in academia, where his research interests centred on array signal processing and software-defined radio. His work was sponsored by the University Defence Research Centre in Signal Processing. Marc received his master’s and Ph.D. degrees in electrical and electronic engineering from Imperial College London, UK.

Mark Corless is Automated Driving Segment Manager at MathWorks, responsible for strategy planning and technology rollout. His focus is to help industry and academia leverage MathWorks tools to develop automated driving applications. Previous 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.

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