US 2023/0391341 A1 · METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR PERCEIVING ROAD STRUCTURE

Abstract

The present disclosure provides a method, an apparatus, an electronic device, a storage medium and a program product for perceiving a road structure, and relates to the technical field of artificial intelligence and, in particular, to the technical field of deep learning and automatic driving. A specific implementation includes: determining, based on map data, a first perceiving result characterizing a road structure around a current position; determining, by a road structure perceiving model trained in advance, a second perceiving result characterizing the road structure around the current position; and generating a final perceiving result characterizing the road structure around the current position based on the first perceiving result and the second perceiving result.

Claims19

Dependent claims

A method for perceiving a road structure, comprising:

determining, based on map data, a first perceiving result characterizing a road structure around a current position;
determining, by a road structure perceiving model trained in advance, a second perceiving result characterizing the road structure around the current position;
and
generating a final perceiving result characterizing the road structure around the current position based on the first perceiving result and the second perceiving result.

1 more element

A method for training a road structure perceiving model, comprising:

generating a training sample set based on map data, wherein a training sample in the training sample set comprises a plurality of images that are taken from different angles and represent environmental information around a same position, and a road structure element label;
and
training an initial road structure perceiving model by using a machine learning method, taking the plurality of images in the training sample as an input, and taking the road structure element label in the training sample as an expected output to obtain a trained road structure perceiving model.

An apparatus for perceiving a road structure, comprising:

at least one processor;
and
a memory storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations, the operations comprising:
determining, based on map data, a first perceiving result characterizing a road structure around a current position;
determining, by a road structure perceiving model trained in advance, a second perceiving result characterizing the road structure around the current position;
and
generating a final perceiving result characterizing the road structure around the current position based on the first perceiving result and the second perceiving result.

4 more elements

Dependencies are inferred from the claim text.

Facts

Application

18/235,310Filed 17 Aug 2023

Priority

CN 202210987210.917 Aug 2022

Published

7 Dec 2023

Term ends

Not estimatedThe source records don’t support an estimate.

Classification9 codes

B60W 40/06
Related to ambient conditions: road conditions
B60W 60/001
Drive control systems specially adapted for autonomous road vehicles: planning or execution of driving tasks
G06V 10/774
Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or…:…
G06V 10/82
Using pattern recognition or machine learning: using neural networks

Method, apparatus, and computer program product for perceiving road structure

Life of this patent

Method, apparatus, and computer program product for perceiving road structure

Life of this patent

Abstract

Claims19