MATLAB and Simulink Training
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This one-day course provides hands-on experience with developing and verifying automated driving perception algorithms. Examples and exercises demonstrate the use of appropriate MATLAB® and Automated Driving Toolbox™ functionality.
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Objective: Label ground truth data in a video or sequence of images interactively. Automate the labeling with detection and tracking algorithms.
Objective: Visualize camera frames, radar and lidar detections. Use appropriate coordinate systems to transform image coordinates to vehicle coordinates and vice versa.
Objective: Segment and model parabolic lane boundaries. Use pretrained object detectors to detect vehicles.
Objective: Create a multi-object tracker to fuse information from multiple sensors such as camera, radar etc.
Objective: Create driving scenarios and synthetic radar/camera sensor detections interactively to test automated driving perception algorithms.
When you register for one of these courses, you can rely on the fact that it won't be canceled or rescheduled for any reason.
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