A method for judging driver distraction based on lateral driving speed

A technology of driving speed and lateral driving, applied in the field of safe driving, which can solve the problems of low recognition accuracy, high recognition difficulty, and inability to eliminate the influence of random factors well

Active Publication Date: 2020-02-14
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. The data required by the existing distraction recognition technology mostly relies on different systems and devices to obtain data during driving. The data acquisition is cumbersome and the amount of data is huge, making recognition difficult
[0006] 2. The existing distraction recognition technology is mainly based on driving performance indicators such as large vehicle speed changes, lane departure, and increased following distance. It cannot eliminate the influence of random factors very well, and the recognition accuracy is low.
[0007] 3. Distraction has a classification. Most of the existing distraction recognition technologies treat distraction as a driving phenomenon, and do not carry out a finer classification of distraction.

Method used

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  • A method for judging driver distraction based on lateral driving speed
  • A method for judging driver distraction based on lateral driving speed
  • A method for judging driver distraction based on lateral driving speed

Examples

Experimental program
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Embodiment Construction

[0051] In this example, if figure 1 As shown, a driver distraction discrimination method based on lateral driving speed is carried out according to the following steps:

[0052] Step 1 collects a fixed time interval T 0 The lateral speed of the vehicle inside; the acquisition method of the lateral speed is as follows:

[0053] The time interval T is collected by the lateral acceleration sensor installed on the vehicle 0 The lateral acceleration of the vehicle in , the lateral acceleration is collected once every interval t, and the time interval T 0 A total of k lateral acceleration data can be collected in total, where k=[T 0 / t].

[0054] Statistical time interval T 0 Lateral acceleration collected in {a 1 ,a 2 ,a 3 ,a 4 ,a 5 ...a k},k=[T 0 / t];

[0055] Then the value of lateral velocity is:

[0056] V k =V k-1 +a k ·t

[0057] Statistical time interval T 0 The lateral velocity collected within {V 1 ,V 2 ,V 3 ,V 4 ,V 5 ...V k},k=[T 0 / t];

[0058...

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Abstract

The invention discloses a driver distraction judgment method based on a transverse driving speed. The driver distraction judgment method based on the transverse driving speed comprises the following steps: 1, collecting transverse traveling speed data at fixed time intervals; 2, making a time domain diagram of the transverse driving speed; 3, removing invalid data segments; 4, performing frequencyspectrum analysis on effective data segments; and 5, judging whether the driver has a distraction phenomenon and a distraction degree in the time interval, wherein the distraction degree comprises three grades of mild distraction, moderate distraction and severe distraction. By the invention, whether the driver has a distraction phenomenon in a driving process can be rapidly and effectively judged, thereby reducing the probability of traffic accidents caused by distraction of the driver.

Description

technical field [0001] The invention belongs to the field of safe driving applications, in particular to a method for judging driver distraction based on the lateral running speed of a vehicle. Background technique [0002] With the development of society and economy, the number of cars is increasing, and the road traffic pressure is increasing. Various bad driving behaviors lead to a high incidence of traffic accidents, among which distracted driving behavior is particularly serious. Domestic and foreign studies have shown that driver distraction has a certain impact on the driver's driving performance, visual behavior patterns and physiological indicators, so there are significant characteristic differences in driving performance between the driver's distracted driving state and the normal driving state. [0003] At present, the research on the characteristics of distraction mainly focuses on the phenomena of large speed changes, lane departure, and increased following dis...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W40/09
CPCB60W40/09B60W2520/12
Inventor 丁建勋王昌胜黄义洲韦阳徐敏杰郑韧飞宣雨楼郭宁石琴
Owner HEFEI UNIV OF TECH
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