Best approaches for object recognition, segmentation and classification.
Automotive systems designers initially used traditional embedded-vision algorithms in advanced driver assistance systems (ADAS). One of the key enablers of vehicle autonomy moving forward will be the application of artificial intelligence (AI) techniques, particularly those based upon deep-learning algorithms implemented on multi-layer convolutional neural networks (CNNs). These algorithms show great promise in the kind of object recognition, segmentation, and classification tasks necessary for vehicle autonomy.
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