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Unmanned vehicle behavior decision-making method based on ontology and Bayesian network

An unmanned vehicle, Bayesian network technology, applied in vehicle position/route/altitude control, two-dimensional position/channel control, non-electric variable control and other directions, can solve the problems of low real-time and low security, Achieve the effect of improving real-time and accuracy, and improving security

Inactive Publication Date: 2020-04-07
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although numerous studies have been carried out, existing decision-making systems still suffer from low real-time and low security due to the higher complexity and uncertainty of urban traffic environments than other traffic scenarios.

Method used

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  • Unmanned vehicle behavior decision-making method based on ontology and Bayesian network
  • Unmanned vehicle behavior decision-making method based on ontology and Bayesian network
  • Unmanned vehicle behavior decision-making method based on ontology and Bayesian network

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Embodiment Construction

[0027] 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. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0028] figure 1 It is a flow chart of an unmanned vehicle behavior decision-making method based on ontology and Bayesian network according to an embodiment of the present invention.

[0029] Such as figure 1 As shown, the unmanned vehicle behavior decision-making method based on ontology and Bayesian network in the embodiment of the present invention comprises the following steps:

[0030] S1, acquiring the driving scene of the unmanned vehicle.

[0031] Sp...

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Abstract

The invention provides an unmanned vehicle behavior decision-making method based on an ontology and a Bayesian network. The method comprises the following steps: obtaining a driving scene of an unmanned vehicle; setting a corresponding class set according to the driving scene; constructing corresponding object attributes according to the class set and carrying out instantiation processing; constructing an ontology model corresponding to the driving scene according to the object attributes and the instantiated class set; constructing a Bayesian network model corresponding to the driving scene according to the ontology model; and generating the behavior decision of the unmanned vehicle according to the Bayesian network model. According to the invention, the real-time performance and accuracyof behavior decision can be improved, so that the safety of the unmanned vehicle can be improved.

Description

technical field [0001] The invention relates to the technical field of automatic driving, in particular to an unmanned vehicle behavior decision-making method based on an ontology and a Bayesian network. Background technique [0002] An unmanned vehicle is a comprehensive intelligent body that integrates human-like behaviors such as environmental perception, behavior decision-making, and autonomous control. It involves research in many disciplines such as computer technology, pattern recognition, and automatic control. As the "brain" of unmanned vehicles, the behavioral decision-making system determines the safety and rationality of its driving. Improving the intelligence level of the behavioral decision-making system has always been the focus and difficulty of research in the field of unmanned driving. [0003] At present, the behavioral decision-making models of unmanned driving systems generally include rule-based models and statistical-based models, and with the deepenin...

Claims

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Application Information

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IPC IPC(8): G05D1/02
CPCG05D1/021
Inventor 黄志球孙雪谢健王金永王子豪
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS