Vehicle-mounted bad weather real-time sensing and collision pre-warning system

Abstract

The invention relates to a vehicle-mounted bad weather real-time sensing and collision pre-warning system, which comprises a machine vision perception module A, a collision pre-warning module B and a vehicle-vehicle environment sensing module C, wherein the module A is used for processing video information collected by a vehicle-mounted CCD camera by adopting an embedded microcomputer system and identifying real-time weather Information of a road segment on which the vehicle runs; the module B is used for fusing vehicle motion parameter information and traffic weather information, evaluating collision danger information and carrying out pre-warning intervention; and the module C is used for building an intra-regional traffic safety system by using a multi-vehicle communication technology and an intelligent decision making technology. The invention provides a traffic safety solution which can play a positive role in a traffic environment with a relatively poor weather condition, has relatively high practicability and is efficient and stable; improvement of the active safety performance of the vehicle in the bad weather condition is facilitated; the overall risk factor of the regional traffic system is effectively reduced through the multi-vehicle communication technology and the intelligent decision making technology; and the traffic safety is ensured.

Description

Technical field [0001] The invention relates to a method for sensing the traffic environment of a vehicle under bad weather conditions and performing anti-collision warning, in particular to a vehicle-mounted bad weather real-time perception and anti-collision warning method. Background technique [0002] Road traffic accidents under bad weather conditions cause huge casualties and accident losses. The weather information obtained during vehicle driving mainly comes from weather forecasts, and weather forecasts are through satellite cloud images and weather maps obtained from meteorological satellites. After analyzing and integrating the meteorological, topographic and seasonal parameters obtained from the ground observation station, the forecast results are likely to be inaccurate for the short-term convective weather that may occur in local sections. How to make the vehicle early warning system obtain real-time and accurate traffic weather information and improve the adaptabili...

AI Technical Summary

Problems solved by technology

[0002] The casualties and accident losses caused by road traffic accidents under adverse weather conditions are very huge. The meteorological information obtained during vehicle driving mainly comes from weather forecasts, and weather forecasts are based on satellite cloud images and weather images obtained by meteorological satellites. It is made after analyzing and integrating the meteorological, topographical and seasonal parameters obtained by the ground observation station. For the short-term convective weather that may occur on local road sections, the forecast results are likely to be inaccurate

How to enable the vehicle early warning system to obtain real-time and accurate traffic weather information, and improve the adaptability and forecast accuracy of the anti-collision early warning system under adverse weather conditions is an unsolved problem at present.

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