A vehicle driving method and its device, computer equipment, and vehicle

Abstract

The present invention relates to a vehicle driving method and its device, computer equipment, and vehicle. The method includes acquiring multiple environmental recognition results and multiple vehicle information; The environment recognition result of the own vehicle obtained from the surrounding environment information of the vehicle and the environment recognition result obtained by at least one preceding vehicle through deep learning to identify the surrounding environment information of its vehicle; the vehicle information includes the information of the own vehicle and the preceding vehicle information of at least one preceding vehicle ; Generate a driving instruction according to the plurality of environment recognition results and the plurality of vehicle information, and control the own vehicle to execute the driving instruction. Both the device and the computer equipment are carriers for implementing the method, and the vehicle includes the device or the computer equipment. The invention combines the shared information of the Internet of Vehicles and its own deep learning situation to make decisions and output appropriate driving instructions, which can improve the accuracy of vehicle driving decisions.

Description

technical field [0001] The invention relates to the technical field of automatic driving, in particular to a vehicle driving method and device thereof, computer equipment, and a vehicle. Background technique [0002] Deep learning is a method based on representational learning of data in machine learning. Its motivation is to establish and simulate a neural network that simulates the human brain for analysis and learning. It imitates the mechanism of the human brain to explain data. In the field of vehicles, deep learning is mainly applicable to the learning of vehicle driving rules and the learning of surrounding environment predictions. For the driver, the source of deep learning consists mainly of pre-trained models as well as models learned in real-world environments. Furthermore, with the development of vehicle technology, a scheme based on the Internet of Vehicles to share vehicle information is proposed. Using the Internet of Vehicles, drivers can obtain relevant inf...

AI Technical Summary

Problems solved by technology

Furthermore, with the development of vehicle technology, a scheme based on the Internet of Vehicles to share vehicle information is proposed. Using the Internet of Vehicles, drivers can obtain relevant information about other vehicles around them, such as the vehicle in front. The relevant information includes whether they can pass through the traffic lights ahead, etc.; In fact, the sharing and transmission of information takes a certain amount of time, and the environment changes in real time. For example, the street light at the intersection ahead is red, and the vehicle in front informs the vehicle behind to stop through the Internet of Vehicles, but when the shared information reaches the vehicle behind, It is possible that the red light turns green, and the vehicles behind can pass slowly

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