Automatic driving system and driving method based on big data map library

Abstract

The invention relates to an automatic driving system and method based on a big data map library. The automatic driving system based on the big data map library comprises a positioning system, an identification system, a vehicle body, a control system and a cloud server. The cloud server comprises a map library, a receiving and transmitting end A, a management server, an application server and a cloud computer group, the map library comprises a three-dimensional route model from a departure place to a destination, the positioning system and the recognition system are electrically connected with the control system, the control system comprises a receiving and transmitting end B, and the cloud server is used for receiving signals of the control system and transmitting the signals to the application server according to position signals of the positioning system. And calling vehicle body position map library information and sending an instruction to the control system for execution. According to the automatic driving system and the driving method based on the big data map library, the current vehicle body driving environment can be truly simulated by utilizing the computing power of the cloud server and the three-dimensional modeling travel of the big data map library and comparing and recognizing the system data, and the data of the cloud server map library can be updated in time.

Description

Technical field [0001] The present invention relates to the field of automatic driving system, in particular a driving system and driving method based on a large data gallery. Background technique [0002] The automatic driving car is also known as unmanned cars, computer driving a car, is a smart car that implements unmanned driving through a computer service system. Automatic driving vehicles relies on manual intelligence, visual computing, radar, monitoring devices, and global positioning systems to cooperate, allowing the automatic driving system to automatically operate motor vehicles without any human active operation. The vehicle own automatic driving system requires a strong computing system that requires an independent computing system, otherwise the automatic driving system cannot operate, in addition, users need to master the basic knowledge, application and software installation of the computer, and inconvenience. The existing automatic driving system is low, the trav...

AI Technical Summary

Problems solved by technology

At present, the environment perception sensor commonly used in the automatic driving system is the lidar. The target detected by the lidar needs to be converted to the vehicle coordinate system before it can be used by the decision-making module of the automatic driving system. However, the conversion process is prone to deviation. The method corrects the deviation of the lidar system, but because it is mostly a static calibration method, which requires a special site and a special process, it cannot be implemented online

In addition, it is impossible to carry out static calibration of the vehicle frequently in the actual application process.

And generally the range of interaction between the automatic driving system and the environment is fixed, but when the speed is slow, it is not necessary to recognize the distant ring, and when the speed is fast, the recognition range cannot ensure driving safety

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