A driving task decision system and method for an unmanned vehicle

Abstract

The invention discloses a driving task decision-making system for an unmanned vehicle, which includes an environment perception module for detecting the environment around the vehicle; The current macro path, and determine the behavior that the car needs to take to follow the macro path according to the current position of the car, and output navigation information; the driving task decision module is used to make decisions about the car based on the current driving task, driving environment, and car navigation information. The driving task to be executed next; the driving task execution and obstacle avoidance module is used to implement the optimal driving task according to the motion state of the car. The invention can improve the deficiencies of the prior art, ensure that the vehicle can run safely and efficiently on the road, complete corresponding driving tasks, and can actively abide by traffic laws and regulations.

Description

technical field [0001] The invention relates to the technical field of automatic control of automobiles, in particular to an unmanned vehicle driving task decision-making system and a decision-making method thereof. Background technique [0002] Unmanned vehicles are an important direction of automobile development. Unmanned vehicles can not only ensure the safety of people's travel, but also greatly improve everyone's travel efficiency and reduce congestion. Since 2009, China has held the "China Smart Vehicle Future Challenge" every year. These events have greatly promoted the development of driverless vehicles. [0003] Even so, there is still a long way to go before self-driving cars really come into real life and are widely accepted by people. Among them, the decision-making and control of unmanned vehicles directly affect the safety and rationality of the behavior of unmanned vehicles. [0004] Regarding the decision-making and control of unmanned vehicles, the Chines...

AI Technical Summary

Problems solved by technology

[0006] The Chinese invention patent application number 201410221906.6 describes a driverless car control system with social behavior interaction. The system takes the driving intentions of other vehicles into the decision-making and control algorithms, and uses the invisible Markov model to judge other vehicles. driving intention, but the system’s description of the decision-making process of unmanned vehicles is too simple and lacks a systematic description

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