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Lane and Vehicle Detection in Simulink Using Deep Learning example walkthrough

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This video shows how to detect lanes and vehicles from the images of an input video using convolutional neural networks (CNN's).
The vehicle detection part uses a pre-trained YOLO v2 CNN. MATLAB function blocks are used to perform the post-processing necessary to annotate vehicle and lane detection information in the output video.
References:
"Lane and Vehicle Detection in Simulink Using Deep Learning"
The vehicle detection part uses a pre-trained YOLO v2 CNN. MATLAB function blocks are used to perform the post-processing necessary to annotate vehicle and lane detection information in the output video.
References:
"Lane and Vehicle Detection in Simulink Using Deep Learning"
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