Intelligent vehicle collision safety prediction method

Abstract

The invention discloses an intelligent vehicle collision safety prediction method, comprising the following steps: 1) adopting an obstacle detection algorithm based on a single image to determine whether there is an obstacle or a vehicle in front of a microminiature vehicle; 2) a processor calibrates the two cameras, determines the height and the distance of the obstacle by adopting the stereo vision method and transmits the information to the controller; 3) a distance measurement device detects the vehicle condition of the adjacent two lanes, provides a traveling area for overtaking and lane-changing, and transmits the information of the traveling area to the controller. The invention provides an intelligent vehicle collision safety prediction method. The collision safety model is established in the approaching stage, the overtaking lane and the overtaking lane changing stage, the safety monitoring is carried out in the whole stage in the overtaking process, and the safe operation isensured. At the same time, the prediction method of each stage provided by the invention can more sensitively realize the collision prediction, and the safety in the automobile operation process is improved.

Description

technical field [0001] The invention relates to the field of smart car collision safety prediction, in particular to a smart car collision safety prediction method. Background technique [0002] In the prior art, there is a lack of a smart car collision safety prediction method, which enables the use of modern information technology and sensing technology to expand the driver's perception ability during the running of the car, and the external information (such as vehicle speed, Pedestrian or other obstacle distance, etc.) to the driver, and at the same time identify whether it constitutes a safety hazard in the comprehensive information of road conditions and vehicle conditions, and in an emergency, automatically take measures to control the car, so that the car can actively avoid danger and ensure the safety of the vehicle Drive safely, thereby reducing traffic accidents and improving traffic safety. [0003] Therefore, those skilled in the art are committed to developing...

AI Technical Summary

Problems solved by technology

[0002] In the prior art, there is a lack of a smart car collision safety prediction method, which enables the use of modern information technology and sensing technology to expand the driver's perception ability during the running of the car, and the external information (such as vehicle speed, Pedestrian or other obstacle distance, etc.) to the driver, and at the same time identify whether it constitutes a safety hazard in the comprehensive information of road conditions and vehicle conditions, and in an emergency, automatically take measures to control the car, so that the car can actively avoid danger and ensure the safety of the vehicle Drive safely, thereby reducing traffic accidents and improving traffic safety

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