Method and apparatus for detecting corner points of lane lines, electronic device and storage medium

An electronic device, comprising:

• a memory and a processor, wherein the processor is connected with the memory;
• the memory is configured for storing programs;
• and
• the processor is configured for calling the programs stored in the memory to perform a method comprising:
• obtaining a road image to be detected;
• inputting the road image into a pre-trained neural network model to obtain a heat map prediction result corresponding to the road image, wherein the heat map prediction result comprises a probability that each pixel belongs to a specific corner point category;
• determining a plurality of different categories of corner points in the road image according to the heat map prediction result;
• and
• grouping the plurality of different categories of corner points according to a predetermined rule to obtain at least one corner point group.

A non-transitory storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, performs a method comprising:

• obtaining a road image to be detected;
• inputting the road image into a pre-trained neural network model to obtain a heat map prediction result corresponding to the road image, wherein the heat map prediction result comprises a probability that each pixel belongs to a specific corner point category;
• determining a plurality of different categories of corner points in the road image according to the heat map prediction result;
• and
• grouping the plurality of different categories of corner points according to a predetermined rule to obtain at least one corner point group.