A smart car collision safety prediction method

Abstract

The invention discloses a collision safety prediction method for a smart car, which comprises the following steps: 1) using an obstacle detection algorithm based on a single image to determine whether there is an obstacle or a vehicle in front of the miniature car; 2) a processor calibrates two cameras , use the method of stereo vision to determine the height and distance of the obstacle and transmit the information to the controller; 3) The distance measuring device detects the vehicle condition of the adjacent two lanes, provides a drivable area for overtaking and changing lanes, and the area of ​​the drivable area The information is transmitted to the controller; the intelligent vehicle collision safety prediction method provided by the present invention establishes a collision safety model in the approach phase, on the overtaking lane and in the overtaking lane change phase, and performs safety monitoring at all stages in the overtaking process to ensure safe operation. At the same time, the prediction method at each stage provided by the present invention can realize collision prediction more sensitively, and improve the safety in the running process of the automobile.

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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