Vehicle early warning method, device and equipment and storage medium

Abstract

The invention discloses a vehicle early warning method, device and equipment and a storage medium. The method comprises the steps: obtaining road end monitoring data which is real-time monitoring data of a road end sensor for a current road; based on the road end monitoring data, carrying out early warning scene recognition on the vehicle on the current road to obtain an early warning scene recognition result, wherein the early warning scene recognition result comprises a target vehicle and an early warning target; sending the early warning target to a vehicle-mounted terminal of the target vehicle, so that the vehicle-mounted terminal obtains a real-time early warning video, wherein the real-time early warning video is video data including mark information of the early warning target; and outputting the real-time early warning video to a vehicle end display device of the target vehicle. By using the technical scheme provided by the invention, vehicle-road data interaction can be realized, the vehicle end acquires surrounding sensing information in real time, drivers and passengers are helped to quickly identify dangerous targets through the early warning video, and the early warning efficiency and accuracy are improved.

Description

technical field [0001] The present application relates to the technical field of vehicle-road coordination, and in particular to a vehicle early warning method, device, equipment and storage medium. Background technique [0002] Vehicle-to-everything collaborative technology based on V2X technology (Vehicle to everything, wireless communication technology for vehicles) is a hot spot in the current and future automotive industry. The road-end equipment in vehicle-road collaboration mainly includes sensing equipment (lidar, millimeter-wave radar, camera, etc.), MEC (roadside mobile edge computing platform), RSU (roadside communication equipment), etc.; the vehicle end also has vehicle-end communication equipment. The current vehicle-road coordination technology is mainly applied to self-driving vehicles. After the self-driving vehicle is equipped with this technology, it can automatically select the best route for road conditions through real-time analysis of traffic informat...

AI Technical Summary

Problems solved by technology

[0003]At present, although the ADAS system (Advanced Driving Assistance System, Advanced Driving Assistance System) equipped on traditional vehicles can realize early warning and avoidance of some dangerous scenes, when the driving scene is slightly In complex situations, such as pedestrian or vehicle ghost probe scenes, complex traffic conditions at intersections, buildings or other traffic participants, etc., the ADAS system will have a high rate of missed recognition or false recognition

Moreover, compared with the large-scale application of vehicle-road coordination technology on autonomous vehicles, the application of vehicle-road coordination technology on traditional vehicles is less, and traditional vehicles cannot obtain relevant information at the road end and surroundings in a timely manner to respond to complex driving scenarios. To carry out danger warning, therefore, it is necessary to provide more effective and scientific technical solutions

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