The invention is suitable for the technical field of computers, and provides an AI-based unmanned intelligent scheduling system, and an automatic driving method. The method comprises the following steps: obtaining the position information of a vehicle in real time; acquiring peripheral image information of the vehicle in real time; analyzing the peripheral image information to determine road condition information of the position where the vehicle is located, and generating a real-time model map about the vehicle; and according to the real-time model map and the position information of the vehicle, determining the target driving state of the vehicle, issuing the target driving state to the vehicle. Normal automatic driving of the vehicle can still be guaranteed in the field or on a road section where the map is not updated in time according to the road condition information of the scene, so the problem that in the prior art, the driving state of the vehicle cannot be automatically adjusted according to the actual condition in the field or on a road section of which the map is not updated in time.
本发明适用于计算机技术领域,提供了一种基于AI无人驾驶智能调度系统及自动驾驶方法,所述方法包括实时获取车辆的位置信息;实时获取车辆的周边图像信息;分析所述周边图像信息,以确定车辆所处位置处的路况信息,生成关于车辆的实时模型地图;根据所述实时模型地图和车辆的位置信息,确定车辆的目标行驶状态,下发目标行驶状态至车辆中,在野外或者地图未及时更新的路段,根据现场的路况信息,仍然可以保证车辆的正常自动行驶,有效解决现有技术中,在野外或者地图未及时更新的路段,车辆无法根据实际情况自动调整行驶状态的问题。
AI-based unmanned intelligent scheduling system, and automatic driving method
一种基于AI无人驾驶智能调度系统及自动驾驶方法
2021-06-01
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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