MATLAB および Simulink トレーニング
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.
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