Vehicle driving information determination method and device based on plane segmentation, and vehicle-mounted terminal

Abstract

The embodiment of the invention discloses a vehicle driving information method and device based on plane segmentation and a vehicle-mounted terminal. The method comprises the steps that a to-be-detected vehicle area in a road image frame is input into a vehicle plane division model, and the vehicle plane division model determines segmentation information used for segmenting planes in all directions of a to-be-detected vehicle according to pre-trained model parameters; when determining that the to-be-detected vehicle area has a transverse plane according to the segmentation information, segmenting the to-be-detected vehicle area according to the segmentation information to obtain the transverse plane in the road image frame; and selecting a first corresponding feature point from the associated transverse plane between the road image frame and the previous road image frame, and determining the vehicle speed information of the vehicle to be detected relative to the current vehicle according to the position difference between the first corresponding feature points and the time difference between the road image frame and the previous road image frame. By applying the scheme provided bythe embodiment of the invention, the vehicle driving information of the to-be-detected vehicle can be determined more accurately.

Description

technical field [0001] The present invention relates to the technical field of automatic driving, in particular to a method and device for determining vehicle driving information based on plane segmentation, and a vehicle-mounted terminal. Background technique [0002] With the development of science and technology, emerging concepts such as autonomous driving and unmanned vehicles have emerged as the times require. High-precision vehicle detection and recognition, tracking, distance and speed estimation are important elements in road scene analysis and environmental perception, and are also an integral part of the field of autonomous driving. According to the data collected by various sensors installed on the vehicle, road information such as lane lines, stationary obstacles, traffic lights, traffic signs and other road information on the road and pedestrian information in the road area can be analyzed. Compared with this, the analysis and processing of vehicle driving inf...

AI Technical Summary

Problems solved by technology

When the vehicle to be detected is relatively close to the current vehicle, or the speed of the vehicle to be detected is not much different from the current vehicle speed, the position difference of the vehicle between the image frames is small, and the position difference may not be accurately determined, so it is impossible to More accurate determination of vehicle travel information

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