ADAS and automated driving development in MATLAB and Simulink

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MathWorks has released a webinar in which Mark Corless, the company’s automated driving segment manager, looks at the application of MATLAB in AD and ADAS simulation.

Corless notes that automated driving spans a wide range of automation levels, from advanced driver assistance systems (ADAS) to fully autonomous 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 webinar he explains how MATLAB and Simulink support engineers building automated driving systems with increased levels of automation. He covers the new features in releases R2019b and R2020a, which cater for elements such as design perception, sensor fusion, planning and controls subsystems, and also addresses the use of simulated driving scenarios and sensor models in photorealistic scenes as well as the generation of C/C++ code.

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Lawrence has been covering engineering subjects – with a focus on motorsport technology – since 2007 and has edited and contributed to a variety of international titles. Currently, he is responsible for content across UKI Media & Events' portfolio of websites while also writing for the company's print titles.

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