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A method and system for intelligent vehicle driving behavior decision-making based on finite state machine

A finite state machine, intelligent vehicle technology, applied to vehicle components, input parameters of external conditions, control devices, etc., can solve the problem of high dependence on data sampling and traffic environment, achieve efficient decision-making, accurate and safe driving behavior switching, The effect of efficient and accurate obstacle avoidance action decision-making

Active Publication Date: 2022-05-31
WUHAN UNIV OF TECH
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Model-based methods use data to train decision-making models, which are highly dependent on data sampling and traffic environments. How to obtain sufficient data to cope with changing traffic environments is a huge challenge for such methods

Method used

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  • A method and system for intelligent vehicle driving behavior decision-making based on finite state machine
  • A method and system for intelligent vehicle driving behavior decision-making based on finite state machine
  • A method and system for intelligent vehicle driving behavior decision-making based on finite state machine

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Embodiment Construction

[0059] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0060] like figure 1 As shown, a kind of intelligent vehicle driving behavior decision-making method based on finite state machine proposed by the present invention, the steps include:

[0061] 1) Define six types of driving behaviors based on prior rules: cruising, following the car, changing lanes, accelerating and overtaking, changing lanes and returning, and braking;

[0062] 2) Determine the judgment conditions for the current driving scene of the vehicle based on the current position, heading angle, driving speed, and driving environment of the vehicle;

[0063] 3) The event set is used to describe the mapping relationship between the driving scene and the driving behavior of the vehicle, and the finite state machine is used to judge the optimal driving behavior of the current vehicle.

[0064] Further, the specific steps of s...

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Abstract

The invention discloses a finite state machine-based intelligent vehicle driving behavior decision-making method and system. The method includes the steps of: 1) defining six types of driving behavior based on a priori rules: cruising, following a car, changing lanes and going out, accelerating and overtaking , changing lanes, returning, and braking; 2) Determine the judgment conditions for the current driving scene of the vehicle based on the current position, heading angle, driving speed, and driving environment of the vehicle; 3) Use event sets to describe the mapping relationship between the driving scene and driving behavior of the vehicle , use the finite state machine to judge the optimal driving behavior of the current vehicle. The invention realizes the effective decision-making of the driving behavior of the intelligent vehicle in the complex environment.

Description

technical field [0001] The invention relates to the technical field of automatic driving, in particular to a finite state machine-based intelligent vehicle driving behavior decision-making method and system. [0002] technical background [0003] During the driving process of intelligent vehicles, the traffic environment is complex and changeable, with a high degree of uncertainty. There may be static obstacles or dynamic obstacles with different speeds on the driving path. Different driving behaviors are required to face different obstacles. In order to take into account the driving safety and driving efficiency of the vehicle. [0004] Model-based methods use data to train decision-making models, and have a high dependence on data sampling and traffic environment. How to obtain sufficient data to cope with changing traffic environments is a huge challenge for such methods. [0005] The rule-based method uses prior rules to formulate various driving behaviors, artificially ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W30/14B60W30/165B60W30/18B60W40/02B60W40/10B60W40/107
CPCB60W30/14B60W30/165B60W30/18109B60W30/18163B60W40/10B60W40/107B60W40/02B60W2520/10B60W2520/06B60W2552/50B60W2554/20B60W2554/40B60W2554/80Y02T10/84
Inventor 胡杰钟鑫凯陈瑞楠张敏超朱令磊徐文才颜伏伍
Owner WUHAN UNIV OF TECH
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