A server, smart car steering control method, device, medium and smart car

Abstract

The present application discloses a server, a smart car steering control method, device, medium and a smart car, including: acquiring benchmark data and motion state parameters of the target smart car; wherein the benchmark data includes benchmark sensing data and control quantities Data; determine the basic steering control algorithm and the expected trajectory, and optimize the basic steering control algorithm according to the expected trajectory, the reference data and the motion state parameters, and obtain the optimized steering control corresponding to the target smart car at the target speed Algorithm; use the optimized steering control algorithm to control the steering of the target smart car. That is to say, the present invention makes full use of the computing power of the cloud to automatically realize the optimization of the steering control algorithm, avoids the process of manually setting the algorithm parameters, reduces the time and labor cost of setting the algorithm parameters, and then improves the speed-up efficiency of the smart car, and improves the intelligence. The speed of the car makes the smart car more in line with the needs of the actual scene, and performs tasks faster and more accurately.

Description

technical field [0001] The invention relates to the technical field of smart cars, in particular to a cloud server, a smart car steering control method, a device, a storage medium and a smart car. Background technique [0002] In the current era, there are endless researches and products on smart cars, such as electromagnetic tracking cars, photoelectric tracking cars, smart car management systems based on the Internet of Things, and smart car steering models. Generally speaking, those that are highly integrated with the cloud are weakly integrated with the actual smart vehicle; those that are highly integrated with the actual intelligent vehicle are weakly integrated with the cloud. In addition, the research on the physical manufacturing of intelligent vehicles has already included intelligent vehicles with various functions, such as electromagnetic tracking vehicles that automatically spray pesticides, photoelectric tracking vehicles that automatically extinguish fires, et...

AI Technical Summary

Problems solved by technology

Generally speaking, those that are highly integrated with the cloud are weakly integrated with actual smart vehicles; those that are strongly integrated with actual intelligent vehicles are weakly integrated with the cloud

In addition, the research on the physical manufacturing of smart vehicles has already produced smart cars with various functions, such as electromagnetic tracking vehicles that automatically spray pesticides, photoelectric tracking vehicles that automatically extinguish fires, etc. Most of these vehicles are relatively slow

[0003] In the existing technology, the control steering of the smart car is usually optimized under the premise of slow speed, resulting in slow task execution speed and low efficiency

In the case of high speed, the steering control algorithm is prone to relatively large errors. When the smart car is performing tasks, the speed is too fast, which will cause the trajectory of the smart car to drift or even completely deviate from the route. Acceleration requires complicated work to adjust various control parameters

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