Control method for autonomous vehicles

A technology of automatic driving and control methods, applied in the direction of control devices, etc., can solve problems such as the limitation of computing resources, and achieve the effects of control safety, improved response speed, and high-security automatic driving control.

Active Publication Date: 2021-09-17
BEIJING NEW ENERGY VEHICLE TECH INNOVATION CENT CO LTD
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AI Technical Summary

Problems solved by technology

However, the vehicle signal sampling period is several milliseconds, and the amount of computing resources available is limited due to space constraints

Method used

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  • Control method for autonomous vehicles
  • Control method for autonomous vehicles
  • Control method for autonomous vehicles

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Embodiment Construction

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0045] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include...

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Abstract

The present invention provides a control method for an automatic driving vehicle, wherein the control method includes the following steps: S100, based on vehicle control parameters, vehicle state data, environmental information data and dynamic target data, using a convolutional neural network to construct and train the vehicle The prediction model is to obtain the trained vehicle prediction model; S200, obtain the state signal and environmental information of the autonomous driving vehicle in real time; S300, based on the trained vehicle prediction model, dynamic target information, and the state signal and environmental information of the automatic driving vehicle acquired in real time, Obtaining a vehicle control signal through model predictive control calculation; S400: Controlling the vehicle to drive automatically based on the obtained vehicle control signal. The control method of the automatic driving vehicle of the present invention can realize fast and safe control of the automatic driving vehicle.

Description

technical field [0001] The invention belongs to the technical field of automatic driving vehicle control, and in particular relates to a control method of the automatic driving vehicle. Background technique [0002] At present, the industry generally divides autonomous driving into several levels: L0, L1, L2, L3, L4, and L5. Among them, the mass production application of L2 autonomous driving in passenger cars has been realized in China, but the L3 autonomous driving function Not yet on the ground. [0003] The L3 vehicle system can already rely on its own sensors to perceive the surrounding driving environment, but the monitoring task still needs to be dominated by the human driver, and the human driver still needs to intervene in emergency situations, and the communication between the driver and the automatic driving needs to be carried out at the control end. switch. [0004] The automatic driving system includes perception, decision planning and control modules, and th...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W30/182B60W40/00B60W50/00B60W60/00
CPCB60W30/182B60W40/00B60W50/0098B60W2050/0043B60W60/005
Inventor 张婷原诚寅
Owner BEIJING NEW ENERGY VEHICLE TECH INNOVATION CENT CO LTD
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