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Driver behavior model development method, device and storage medium for autonomous driving

An automatic driving and driver technology, applied in design optimization/simulation, geometric CAD, etc., can solve problems such as inability to effectively extract end-to-end solution algorithms and solutions

Active Publication Date: 2020-10-30
GOODGRID AUTOMOTIVE TECH SUZHOU CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a driver behavior model development method, device and storage medium for automatic driving to solve the problem that the driver behavior model developed in the existing automatic driving technology cannot effectively extract end-to-end solution algorithms and solutions

Method used

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  • Driver behavior model development method, device and storage medium for autonomous driving
  • Driver behavior model development method, device and storage medium for autonomous driving
  • Driver behavior model development method, device and storage medium for autonomous driving

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0026] This embodiment discloses a driver behavior model development method for automatic driving, referring to figure 1 As shown, the development method includes the following steps,

[0027] (1) Create a basic model in the simulation environment according to the transfer relationship between the stimulus input and the theoretical output.

[0028] The theoretical output here is the driving behavior of experienced drivers who have 4 to 10 years of driving experience and have good driving behavior within the driving experience predicted by the creator of the basic model under the driving environment of the incentive input.

[0029] The stimulus input here includes one or any combi...

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Abstract

Disclosed are a driver behavior model development method and device for automatic driving, and a storage medium. The method comprises the following steps: (1) establishing a basic model in a simulation environment according to a transitive relationship between an excitation input and a theoretical output; (2) using the same excitation input as that for establishing the basic model to intervene in a target vehicle in a field test scenario, so as to acquire real output data of the target vehicle under the excitation input in the field test scenario, wherein the real output data comprises target vehicle driver decision data and target vehicle operation change data; and (3) using the acquired real output data of the target vehicle in the field test scenario to correct the basic model. The present invention is different from a method for training a huge amount of data to acquire a driver behavior model on the basis of AI technological analysis in the prior art. A driver behavior model approximating real driver behavior to the greatest extent is acquired, and an end-to-end algorithm and an end-to-end solution are effectively extracted.

Description

technical field [0001] The present invention relates to the technical field of automatic driving, in particular to a driver behavior model development method, device and storage medium for automatic driving. Background technique [0002] Self-driving vehicles, also known as unmanned vehicles, are intelligent vehicles that realize unmanned driving through computer systems. They rely on artificial intelligence, visual computing, radar, monitoring devices and global positioning systems to work together so that the vehicle's computer system can Automated and safe maneuvering of motor vehicles without human operators. [0003] At present, some Internet companies and automobile manufacturers rely on artificial intelligence or deep learning methods to obtain prediction and decision-making model algorithms for autonomous vehicles. ) to obtain the road data in the driving scene, and the driver’s behavior data from the vehicle’s driving process, thus forming big data covering the sce...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W40/09G06F30/15G06F30/20
CPCB60W40/09
Inventor 杜光辉袁雁城张尧文
Owner GOODGRID AUTOMOTIVE TECH SUZHOU CO LTD