| CPC G06V 20/588 (2022.01) [B60W 40/06 (2013.01); B60W 2552/53 (2020.02)] | 22 Claims |
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1. A processor-implemented method of generating lane information using a neural network, comprising:
generating a lane probability map based on an input image;
generating lane feature information and depth feature information by applying the lane probability map to a second neural network;
generating depth distribution information by applying the depth feature information to a third neural network;
generating spatial information based on the lane feature information and the depth distribution information;
generating offset information comprising a displacement between a position of a lane and a reference line by applying the spatial information to a fourth neural network; and
generating three-dimensional (3D) lane information using the offset information.
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