Semantic segmentation method and system for automatic driving, electronic equipment and medium

Abstract

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.

Description

technical field [0001] The present invention relates to the technical fields of deep learning and automatic driving, and in particular to a semantic segmentation method, system, electronic equipment and medium for automatic driving. Background technique [0002] With the development of technology, artificial intelligence technology will be applied in more fields and play an increasingly important value. Semantic segmentation is one of the important applications in the field of artificial intelligence, and it is widely used in autonomous driving, video understanding, face recognition systems, intelligent hardware, etc. In the field of autonomous driving, accurate, robust, reliable, and real-time perception and understanding of the traffic environment can be achieved through accurate semantic segmentation of the traffic environment. [0003] At present, most autonomous driving systems use multiple types of sensors with complementary characteristics, such as cameras and radars...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a semantic segmentation method, system, electronic equipment and medium for automatic driving to solve the problem of low semantic segmentation performance of 3D point clouds in the prior art

Images