Identification method, device, electronic device and storage medium for special road conditions

Abstract

A recognition method, device, electronic device and storage medium for special road conditions. The method is based on massive vehicle parameters uploaded to a server by a large number of vehicles in real time, using a pre-trained recognition model for special road conditions, and based on big data of vehicle parameters, for real-time recognition Identify the road area with special road conditions, and further use the picture features and the feature model of the special road condition scene to identify the scene type of the special road condition according to the pictures or video frames uploaded by the vehicle in real time that contain the content of the special road condition; Types, scene types, and the duration of special road conditions of this scene type based on big data analysis and statistics are marked on the map data to support the navigation path planning of the vehicle based on the map data, reminders of approaching special road conditions, and special routes. Driving decisions on road conditions; ensure the real-time and accuracy of special road condition recognition, and effectively improve the efficiency and safety of vehicle driving.

Description

technical field [0001] The embodiments of the present application relate to the Internet of Vehicles technology, and in particular, to a method, device, electronic device, and storage medium for identifying a special road condition. Background technique [0002] With the development of economic level, the number of vehicles has gradually increased. Vehicles may encounter various special road conditions during driving, such as pits, loose manhole covers, no manhole covers, speed bumps, lane restrictions, etc. Drivers may sometimes be unable to avoid them, resulting in poor driving experience or even dangerous. Therefore, how to effectively remind, so that the vehicle can safely pass through the road section with special road conditions is particularly important. [0003] In the prior art, the vehicle can collect images around the vehicle during driving, compare and identify the collected images according to preset images of special road conditions, and alert the driver when ...

AI Technical Summary

Problems solved by technology

[0004] However, the method in the prior art has the problem of low real-time performance. For example, when the image of a special road condition is recognized, the vehicle may have passed the special road condition at high speed, and the special road condition cannot be recognized in time.

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