Vehicle-mounted bad weather real-time perception and anti-collision warning method

Abstract

The invention relates to a vehicle-mounted bad weather real-time perception and anti-collision early warning method, including three modules such as machine vision perception A, anti-collision early warning B, and vehicle-vehicle environment perception C. The module A adopts an embedded microcomputer system to The video information collected by the CCD camera is processed to identify the real-time weather information of the road section where the vehicle is driving; module B integrates vehicle motion parameter information with traffic weather information, evaluates collision risk information and performs early warning intervention; module C uses multi-vehicle communication Technology and intelligent decision-making technology to establish a regional traffic safety system. The invention provides a highly practical, efficient and stable traffic safety solution that can play an active role in traffic environments with poor weather conditions, which not only helps to improve the active safety performance of vehicles under bad weather conditions, but also through Multi-vehicle communication technology and intelligent decision-making technology effectively reduce the overall risk of the regional traffic system and ensure traffic safety.

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 early warning, in particular to a vehicle-mounted bad weather real-time sensing and anti-collision early warning method. Background technique [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. The forecast results may not be accurate for the short-term convective weather that may occur on local road sections. How to make the vehicle early warning system 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 con...

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.

Images