Unmanned vehicle driving planning method, device, equipment and medium

Abstract

The invention discloses a driving planning method, device, equipment and medium of an unmanned vehicle. The method includes: receiving an intelligent driving instruction sent by a target vehicle, and obtaining positioning information of the target vehicle; causing the binocular camera of the target vehicle to collect synchronous image data within a preset monitoring range; determining the dynamic state of the target vehicle according to the positioning information of the target vehicle The receiving range, and obtain the shared image data within the dynamic receiving range from the cloud database; obtain the synchronous monitoring data generated after decompression and inverse transformation of the shared image data; perform vehicle driving on the target vehicle according to the synchronous image data and synchronous monitoring data planning. The invention realizes fast transmission and sharing of data in the area, is conducive to making early warning judgments in time, and timely and effectively handles emergencies around the vehicle, thereby improving the safety of the unmanned vehicle.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a driving planning method, device, equipment and medium for an unmanned vehicle. Background technique [0002] Advanced Driver Assistance Systems (ADAS, Advanced Driver Assistance Systems) of unmanned vehicles, the sensor is a key component of unmanned vehicles, which can provide the central controller with vehicle distance in front of the vehicle, rear and side vehicle image data. The sources of vehicle data can include: radar, ultrasonic, laser and camera, etc. The data obtained through the camera can observe the changes in the dynamic driving process in real time, and because of its low cost, large amount of information collection, and relatively high resolution High standard and very popular. [0003] At present, the image data obtained by unmanned vehicles driving on the road with the help of advanced driver assistance systems only comes from a single vehicle ...

AI Technical Summary

Problems solved by technology

[0003] At present, the image data obtained by unmanned vehicles driving on the road with the help of advanced driver assistance systems only comes from a single vehicle body, and the handling of emergencies is relatively simple, such as between vehicles or between vehicles and moving obstacles due to different Able to obtain effective visual information from both parties in time to cause traffic accidents; at the same time, the amount of image data and information obtained within the scope of a single-view lens between vehicles is relatively small, and the judgment of the road is single, and it is impossible to communicate in time to make early warnings Judgment, so it needs to be continuously optimized

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