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Driving risk assessment system based on visual characteristics

A technology of driving risk and evaluation system, which is applied in the field of automobile driving risk evaluation, and can solve problems such as not being able to accurately reflect the driver's visual cognitive ability, not having quantitative analysis of the driver's risk perception ability, and ignoring the auditory sense

Inactive Publication Date: 2021-07-06
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although scholars at home and abroad have done a lot of research on driver risk perception, there is still a lack of analysis on the visual behavior and characteristics of drivers with different risk perception capabilities, and there is no clear quantitative analysis of drivers' risk perception capabilities.
[0004] In recent years, with the development of eye tracking technology, researchers at home and abroad generally use eye trackers to detect drivers' vision, but most of them are related to driving fatigue, and ignore the influence of hearing on the driver's response. The test lacks authenticity and cannot accurately reflect the driver's visual cognition ability

Method used

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  • Driving risk assessment system based on visual characteristics
  • Driving risk assessment system based on visual characteristics
  • Driving risk assessment system based on visual characteristics

Examples

Experimental program
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Effect test

Embodiment 1

[0022]Provide novice drivers with potentially dangerous virtual driving scenarios, such as mountainous road sections. On a winding road, ① set a sharp bend ahead as a dangerous point 1, and the driver's perspective is hindered. ②Danger point 2 where a motorcycle occupies the lane on the right side of the car, and the car can only drive in the opposite lane. ③The unknown oncoming vehicle is dangerous point 3. If the driver fails to notice the oncoming vehicle, it may be too late to avoid a collision. The risk assessment specific steps of the driving risk assessment system based on visual characteristics are as follows: generate the above-mentioned dangerous driving scene animation and corresponding audio in the No. The eye tracker and the multi-channel physiological recorder 123 collect the driver's eye movement gaze coordinates, fixation time, saccadic direction, saccadic distance, pupil size, and driver's pulse and blood pressure and other response data, and the No. 2 host co...

Embodiment 2

[0024] Reconstruct the virtual accident scene for the driver in the accident, take all possible objective causes of the accident into account, and establish corresponding virtual obstacles in the scene. If an accident occurs on a high-speed accident section, the driver drives fast on the expressway without maintaining a sufficient safe distance from the vehicle in front, and the vehicle in front stops suddenly. Lane vehicle collision. The implementation steps are the same as in Example 1, and the risk perception ability of the driver in the accident is mainly analyzed based on the eye movement data such as the driver's fixation point distribution, eye saccadic distance and direction, and physiological response information during the accident. For some drivers with poor risk perception ability, set text or voice prompts at potential risk points in the virtual scene, and repeatedly train potentially dangerous driving scenarios to improve the driver's risk perception ability.

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Abstract

The invention relates to a driving risk assessment system based on visual characteristics, which includes a No. 1 host, an information interaction unit and a No. 2 host. The information interaction unit is equipped with a media playback module, a driver control module and a data acquisition module. The No. 2 host is equipped A quantitative processing module and a result display module. Host No. 1 is used to generate and send the required multimedia information, the media player module is used to receive and play multimedia information, the driver control module is used to receive and send driver response signals, and the data acquisition module is used to obtain and send real-time information of the driver. response data. The quantitative processing module is used to quantitatively calculate the driver's response signal and real-time response data, and the result display module outputs the detection result of the driver's risk perception ability. The invention uses the real driving environment based on simulation to detect the driver's risk perception ability, helps to analyze the visual factors of the driver in an accident, and conducts the risk perception training based on vision to the driver.

Description

technical field [0001] The technical field of automobile driving risk assessment of the present invention relates to driver risk perception, visual space cognition, and prediction of road traffic safety, and specifically relates to a driving risk assessment system based on visual characteristics. Background technique [0002] The driver's factor is the primary factor affecting road traffic safety. As the main channel for obtaining information, the driver's visual system plays a very important role. Many traffic accidents occur because the driver did not perceive and judge the traffic environment in advance. Potential danger, unable to take evasive measures in time, resulting in accidents. The driver's perception of risk in a risk situation is the driver's risk perception, and the driver's risk perception is closely related to various physiological indicators of the driver, especially the driver's visual behavior and characteristic indicators. [0003] Although scholars at h...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G08G1/09G08G1/0962G08G1/0967
CPCG06Q10/0639G08G1/09G08G1/0962G08G1/0967
Inventor 刘宏飞许淼许洪国王郭俊翟德屈亚洲方杏花
Owner JILIN UNIV
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