The invention is suitable for the technical field of
deep learning and automatic driving, and provides a semantic segmentation method and
system for automatic driving,
electronic equipment and a medium, and the method comprises the steps of obtaining three-dimensional
point cloud data, mapping the three-dimensional
point cloud data into a two-dimensional
depth map comprising a plurality of pieces of
channel data, and forming a sample
data set according to the plurality of pieces of
channel data; building a semantic segmentation network initial model comprising a first model and a second model, using the sample
data set to
train the semantic segmentation network initial model, obtaining a target model, where the second model comprises an
encoder and a decoder; obtaining target three-dimensional
point cloud data, mapping the target three-dimensional point
cloud data into a target two-dimensional
depth map, inputting the target two-dimensional
depth map into the target model, and obtaining a target semantic segmentation result. Through adoption of the method, the problem of low semantic segmentation performance of the three-dimensional point cloud is solved.