Lane marker recognition

A processing system, comprising:

• a memory comprising computer-executable instructions;
• and
• one or more processors configured to execute the computer-executable instructions and cause the processing system to perform an operation comprising:
• generating a set of feature tensors by processing an input image using a convolutional neural network;
• generating a set of localizations by processing the set of feature tensors using a localization network;
• generating a set of horizontal positions by processing the set of feature tensors using row-wise regression;
• generating a set of end positions by processing the set of feature tensors using y-end regression;
• and
• determining a set of lane marker positions based on the set of localizations, the set of horizontal positions, and the set of end positions.

A non-transitory computer-readable medium comprising computer-executable instructions that, when executed by one or more processors of a processing system, cause the processing system to perform an operation comprising:

• generating a set of feature tensors by processing an input image using a convolutional neural network;
• generating a set of localizations by processing the set of feature tensors using a localization network;
• generating a set of horizontal positions by processing the set of feature tensors using row-wise regression;
• generating a set of end positions by processing the set of feature tensors using y-end regression;
• and
• determining a set of lane marker positions based on the set of localizations, the set of horizontal positions, and the set of end positions.