Difference between revisions of "LANE MARKER RECOGNITION: abstract simplified (17655500)"
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| − | 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 | + | The abstract describes a technique for detecting lane markers using a convolutional neural network. It involves generating feature tensors from an input image and then processing these tensors to generate localizations, horizontal positions, and end positions. Based on these generated positions, the technique determines the positions of lane markers. |
Revision as of 16:13, 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 then processing these tensors to generate localizations, horizontal positions, and end positions. Based on these generated positions, the technique determines the positions of lane markers.
