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Driving risk evaluation system based on vision characteristic

A driving risk and assessment system technology, applied in the field of vehicle driving risk assessment, can solve problems such as ignoring hearing, not being able to accurately reflect the driver's visual cognitive ability, and lacking quantitative analysis of the driver's risk perception ability, so as to improve safety sexual effect

Inactive Publication Date: 2018-10-02
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 evaluation system based on vision characteristic
  • Driving risk evaluation system based on vision characteristic
  • Driving risk evaluation system based on vision characteristic

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 evaluation system based on a vision characteristic. The driving risk evaluation system comprises a first hot computer, an information exchange unit and a secondhost computer. The information exchange unit is provided with a media playing module, a driver control module and a data acquisition module. The second host computer is provided with a quantifying processing module and a result display module. The first host computer is used for generating and transmitting required multimedia information. The media playing module is used for receiving and playingthe multimedia information. The driver control module is used for receiving and transmitting a driver reaction signal. The data acquisition module is used for acquiring and transmitting real-time reaction data of a driver. The quantifying processing module is used for performing quantification processing of the driver reaction signal and the real-time reaction data. The result display module outputs a driver risk perception capability detecting result. According to the system of the invention, a simulated true driving environment is adopted for performing risk perception capability detectionon the driver, thereby facilitating analysis to vision factors of an accident driver, and performing vision-based risk perception training on 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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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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