System and method for evaluation and training of non-intrusive driver's potential hazard identification ability

Abstract

The invention discloses a non-invasive assessment and training system and method for a potential hazards identification ability of a driver, so that the potential hazards identification ability of the driver is assessed by adopting a driving simulation method, and rectificative training is carried out on the potential hazards identification ability of the driver. The system is configured to comprehensively assess the potential hazards identification ability of the driver by adopting a structure comprising a triple screen driving simulator, a potential hazards simulation scene database, an eye tracker and an assessment and training processor and by combining information of vision of the driver, driving operations, a potential hazards simulation scene, a vehicle moving state, a potential hazards state and the like. According to an assessment result, a training scene is selected targetedly, so that the potential hazards identification ability of the driver is trained and promoted. The system has the characteristics of simple operation, strong immersion, small interference and the like. The method has the characteristics of accurate assessment, good training effect and the like.

Description

technical field [0001] The invention belongs to the technical field of driver safety risk management, and in particular relates to a non-intrusive driver potential hazard identification ability evaluation and training system and method. Background technique [0002] With the rapid development of the economy, cars have gradually become an indispensable means of transportation in our lives, but traffic accidents have also increased rapidly. The casualties and property losses caused by the increase of traffic accidents have become the factors hindering the social and economic development of our country. Although many automobile manufacturers have adopted more advanced active safety and passive safety technologies to reduce the occurrence of accidents or reduce the degree of injury caused by accidents, the root cause of traffic accidents—the human factor has not been effectively resolved. According to the analysis of road traffic accidents, many road traffic accidents occur bec...

AI Technical Summary

Problems solved by technology

Due to the large amount of text information involved in the two methods of questionnaire evaluation and static image selection and judgment, the driver's text comprehension ability and memory ability greatly interfere with the evaluation results; the dynamic video selection and judgment method lacks a good sense of immersion , unable to give the driver an immersive feeling; in the simulated driving mode, it can only be judged based on the driver’s operating characteristics whether a potential danger has been identified, and the driver’s driving skills have a greater interference with the evaluation results

Therefore, the existing evaluation methods and evaluation methods are difficult to ensure that the evaluation results have good reliability and validity

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