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An artificial intelligence detection method, device, equipment or storage medium for ensuring the safety of automatic driving

An artificial intelligence and autonomous driving technology, applied in the direction of control devices, etc., can solve the problems of high false alarm rate, large hardware resource requirements, long time consumption, etc. Effect

Active Publication Date: 2020-11-17
CHENGDU UNIV OF INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] In order to solve the problems of large hardware resource requirements, long time consumption and high false alarm rate existing in the abnormal behavior detection of existing vehicles, the purpose of the present invention is to provide a method that is different from the existing LSTM-based network and can realize vehicle driving behavior. New artificial intelligence detection method, device, equipment and storage medium for anomaly detection in order to ensure the safety of autonomous driving

Method used

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  • An artificial intelligence detection method, device, equipment or storage medium for ensuring the safety of automatic driving
  • An artificial intelligence detection method, device, equipment or storage medium for ensuring the safety of automatic driving
  • An artificial intelligence detection method, device, equipment or storage medium for ensuring the safety of automatic driving

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Embodiment 1

[0067] Such as Figure 1~5 As shown, the artificial intelligence detection method for ensuring the safety of automatic driving provided in this embodiment may, but is not limited to, include the following steps.

[0068] S101. Read the behavior data sample set {X that reflects the normal driving of the vehicle j ,j=1,...,M}, wherein, M is the total number of samples in the behavioral data sample set, X j In order to reflect the jth behavior data sample of normal driving of the vehicle and include K driving behavior measurement values ​​of different dimensions, K is a natural number not less than 3.

[0069] In the step S101, the behavioral data sample set is collected during the normal driving of the automatic driver (that is, the virtual driver who realizes the automatic driving of the vehicle, not a natural person) and includes a set of multiple behavioral data samples, which can be set in advance Stored in a local storage unit, wherein, but not limited to, smart devices b...

Embodiment 2

[0090] Such as Image 6 As shown, this embodiment provides a hardware device for implementing the artificial intelligence detection method described in Embodiment 1, including a sample set reading module, a real-time data acquisition module, a distance calculation module, a behavior data prediction module, and a behavior abnormal judgment module;

[0091] The sample set reading module is used to read the behavior data sample set {X that reflects the normal driving of the vehicle j ,j=1,...,M}, wherein, M is the total number of samples in the behavioral data sample set, X j In order to reflect the jth behavior data sample of normal driving of the vehicle and include K driving behavior measurement values ​​of different dimensions, K is a natural number not less than 3;

[0092] The real-time data acquisition module is used to acquire the real-time behavior data X at the current moment t And the real-time behavior data of the next moment X t+1 , where X t and x t+1 Respectiv...

Embodiment 3

[0100] Such as Figure 7 As shown, this embodiment provides a hardware device for implementing the artificial intelligence detection method described in Embodiment 1, including a memory and a processor connected by communication, wherein the memory is used to store computer programs, and the processor is used to execute The computer program implements the steps of the artificial intelligence detection method for ensuring the safety of automatic driving as described in the first embodiment.

[0101] The working process, working details and technical effects of the aforementioned equipment provided in this embodiment can be referred to Embodiment 1, and will not be repeated here.

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Abstract

The invention relates to the technical field of artificial intelligence and intelligent vehicle communication and vehicle safety, and discloses an artificial intelligence detection method, device, equipment and storage medium for ensuring the safety of automatic driving. Through the creation of the present invention, a new artificial intelligence detection method that has a lower false alarm rate, faster and lower hardware resource requirements than the LSTM network and can realize abnormal detection of vehicle driving behavior is provided, that is, it adopts the same method as the existing one. There are different technical perspectives to consider the behavior model of autonomous drivers, specifically by deploying experience-based smart devices to collect and manage the behavioral experience of autonomous drivers, and then using the triangular mean algorithm to reuse these behavioral experiences, and then through Using the behavioral experience of the automatic driver can make faster reasoning and prediction of the expected behavior of the automatic driver. It is suitable for many tasks with high time requirements such as automatic driving, and can effectively guarantee the safety of automatic driving.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence and intelligent vehicle communication and vehicle safety thereof, and specifically relates to an artificial intelligence detection method, device, equipment and storage medium for ensuring the safety of automatic driving. Background technique [0002] Smart cars, as a product of the integration of computer technology and Internet of Things technology, can realize the efficient operation of cars and rich and diverse comprehensive information services; relevant reports point out that the number of users using cars worldwide has reached one billion and by 2035 It was expected to reach 2 billion before; therefore, whether the relevant business information in the Internet of Vehicles can meet the corresponding security and reliability requirements is a crucial issue for the popularization and even development of the Internet of Vehicles. The core network of the Internet of Vehicles is s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W50/00
CPCB60W50/0097B60W2050/0075B60W2556/10
Inventor 张浩曦李飞王娟周阳章嘉彦
Owner CHENGDU UNIV OF INFORMATION TECH
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