A driving behavior classification method and device based on an HMM algorithm

A classification method and a classification device technology, applied in the computer field, can solve the problem of less research on the risk prediction of lane-changing driving behavior, and achieve the effect of improving safety and accuracy

Inactive Publication Date: 2019-03-08
LAUNCH TECH CO LTD
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  • Abstract
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  • Claims
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Problems solved by technology

At present, SVM has achieved good prediction results in the recognition of driver intentions / behaviors (such as going straight, turning, changing lanes, etc.) and is widely used in vehicle assisted driving systems. few

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  • A driving behavior classification method and device based on an HMM algorithm
  • A driving behavior classification method and device based on an HMM algorithm
  • A driving behavior classification method and device based on an HMM algorithm

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Embodiment Construction

[0035] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application. Meanwhile, in the description of the present application, the terms "first", "second" and the like are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance. It will be apparent to those skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0036] In order to f...

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Abstract

The invention discloses a driving behavior classification method based on an HMM algorithm. The driving behavior classification method comprises the steps of obtaining driving observation data; calculating a normal driving likelihood value of the driving observation data under a normal driving model by adopting a forward forward algorithm, and calculating a dangerous driving likelihood value of the driving behavior data under the dangerous driving model by adopting the forward algorithm; determining a Bayesian factor according to the normal driving likelihood value and the dangerous driving likelihood value; and comparing the Bayesian factor with a threshold value to determine a driving behavior category. By implementing the method and the device, the accuracy of identifying the driving behavior can be improved.

Description

technical field [0001] The present application relates to the field of computers, in particular to a driving behavior classification method and device based on HMM algorithm. Background technique [0002] Lane changing is the most common and dangerous driving behavior during driving. According to the research data of the U.S. Highway Traffic Safety Administration, the traffic accidents caused by the lane changing process account for as high as 27% of all traffic accidents in statistics. On the basis of the perception of the running state of the vehicle and the surrounding vehicles, the research on the prediction method of dangerous lane-changing driving behavior will help to realize the accurate and timely lane-changing warning or intervention of the assisted driving system. A large number of existing lane-changing early warning studies use the collision time based on vehicle speed and relative distance, or the minimum safe inter-vehicle distance based on vehicle braking ki...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24155G06F18/214
Inventor 刘均于海悦
Owner LAUNCH TECH CO LTD
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