Difference between revisions of "LANE MARKER RECOGNITION: abstract simplified (17655500)"
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Latest revision as of 16:20, 1 October 2023
The abstract describes a technique for detecting lane markers using a convolutional neural network. It involves generating feature tensors from an input image and processing them through different networks to generate sets of localizations, horizontal positions, and end positions. These sets are then used to determine the positions of lane markers.
