Seo-Wook Park, MathWorks
Mark Corless, MathWorks
How do you conceptualize an ADAS algorithm?
How do you assess its performance in simulation before testing in vehicle?
In this webinar, MathWorks engineers will walk you through an ADAS algorithm design and prototyping workflow using MATLAB.
Using a vision and radar sensor fusion algorithm as example, they will demonstrate how you can:
About the Presenters
Seo-Wook Park is a principal application engineer at MathWorks, focusing on advanced driver assistance systems (ADAS). He is working on ADAS algorithm development including vision and radar sensor fusion algorithms for forward collision warning and AEB, Lidar 3D point cloud signal processing for autonomous driving, and ground-truth labeling for vision data. Before joining MathWorks in 2015, he worked in passive and active safety electronics development at Autoliv, Bosch, and Hyundai Autonet for over 20 years. He has a Ph.D. in robotics and control system from the Korea Advanced Institute of Science and Technology (KAIST).
Mark Corless is a principal application engineer at MathWorks, focusing on embedded controls and signal processing applications. Mark regularly interacts with automotive customers to integrate simulation and code generation tools into their production process. Before joining MathWorks in 2004, he was a DSP engineer at Visteon, where he designed automotive audio and receiver systems. Mark has an M.S. in electrical engineering from the University of Michigan, Dearborn.
Recorded: 22 Sep 2016