Vehicle-to-vehicle communication-based driving assistance system and method for enhanced vision in bad weather

Abstract

The present invention provides a bad weather vision enhancement driving assistance system based on vehicle-to-vehicle communication, including a central control unit, a vision enhancement unit, a perception unit, and a human-computer interaction unit; the central control unit and the perception unit perform information interaction, based on perception The self-vehicle information transmitted by the unit and the front vehicle information are used for decision-making and image matching, and the self-vehicle information is sent to the communication device in the perception unit; the prompt information displayed by the driver and the virtual image of the front vehicle are sent to the vision enhancement unit; Realize data interaction with the human-computer interaction unit, receive driver instructions, and send safety warning information; the visual enhancement unit receives the virtual image information of the vehicle in front sent by the central control unit, and projects it outward; makes the projected image just transmit to the human eye, and makes the The size and position of the projected visually enhanced image of the vehicle ahead coincides with the actual vehicle ahead. The invention greatly improves the driving safety under adverse weather conditions.

Description

technical field [0001] The invention belongs to the field of intelligent networked driving assistance, and in particular relates to a vision-enhanced driving assistance system and method based on vehicle-to-vehicle communication for safe driving under adverse weather conditions. Background technique [0002] Workshop collision accidents have always been one of the main forms of traffic safety accidents, and workshop collision avoidance has become an urgent problem to be solved in all countries in the world. As the operator of the vehicle, the driver has natural limitations in perception, decision-making, and execution, and his physiological and psychological states are complex and changeable. In a complex driving environment, often due to inaccurate perception, wrong decision-making, and execution delays, etc., the workshop Collision, especially under adverse weather conditions such as rain, snow, hail, fog, haze, sand and dust, the visibility of the driver's front view is p...

AI Technical Summary

Problems solved by technology

[0006] (1) The on-board environment perception sensors of traditional collision avoidance ADAS are prone to failure under adverse weather conditions;

[0007] (2) The new intelligent networked driving assistance system that introduces vehicle-to-vehicle communication provides information assistance that does not meet the needs of drivers during driving under adverse weather conditions, and may even easily lead to safety accidents

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