Unmanned vehicle navigation driving method based on cloud database

Abstract

The invention provides an unmanned vehicle navigation driving method based on a cloud server. A device according to the method comprises three modules, namely the cloud database, an on-vehicle terminal and a ground GPS base station. In the unmanned vehicle, a destination is input through the on-vehicle terminal of the vehicle. Furthermore the destination information, position information and vehicle condition information of the vehicle are transmitted to the cloud database. The cloud database integrates all related information for performing calculation planning, and transmits an optimal driving plan to a vehicle system for execution by a vehicle control system. Furthermore, surrounding environment information is acquired in real time in vehicle driving and is uploaded to the cloud database, thereby realizing real-time synchronous updating of the cloud database and ensuring high reliability and high real-time performance of cloud data. The unmanned vehicle navigation driving method can supply detailed map information for the vehicle on special conditions of rainy or snowy weather, insufficient light at night, covered road surface or covered sign plate, etc.

Description

technical field [0001] The invention relates to the field of traffic navigation, in particular to a navigation driving method for an unmanned vehicle. Background technique [0002] Unmanned vehicles rely on intelligent devices based on in-vehicle computer systems to achieve unmanned driving, integrating computer architecture, artificial intelligence, visual computing, automatic control and many other technologies. It has broad prospects and high practical value in the fields of public safety, urban transportation and automobile manufacturing, and has also been highly valued by many countries and large vehicle manufacturers. [0003] In order to ensure the safe driving of unmanned vehicles, the vehicles must have an accurate understanding of the surrounding road information and environmental information. The difficulty of the unmanned driving system lies in the ability to distinguish the roadside traffic and the surrounding environment. If the data collected by the unmanned ...

AI Technical Summary

Problems solved by technology

The difficulty of the unmanned driving system lies in the ability to distinguish the roadside traffic and the surrounding environment. If the data collected by the unmanned driving system is inaccurate, it is very likely to cause an accident.

Especially in special weather or environment, such as rain or snow, the road is covered, ...

Images