Risk monitoring type lane-keeping control method and system

Abstract

The invention discloses a risk monitoring type lane-keeping control method and system. The method comprises the following steps: collecting environmental information data, road information data and vehicle information data of a vehicle; establishing a clustering analysis model, and classifying collected data according to the established clustering analysis model, so as to obtain each type of factor influence coefficients; establishing a class influence coefficient unified model and a comprehensive influence coefficient unified model according to each factor influence coefficient, and determining a class influence coefficient and a comprehensive influence coefficient according to the established class influence coefficient unified model and comprehensive influence coefficient unified model;and carrying out intervention correction on a vehicle state during the working of a current lane-keeping system according to the class influence coefficient and the comprehensive influence coefficient. According to the method, three information including the vehicle environment, the road and the vehicle state are comprehensively considered, and the real-time intervention correction of the vehicleis carried out, so that the real-time risk monitoring and evading of the vehicle can be realized, and the driving safety and stability of the vehicle under the control of a lane-keeping function areimproved.

Description

technical field [0001] The invention belongs to the technical field of lane keeping control for intelligent vehicles, and in particular relates to a lane keeping control method and system with risk monitoring. Background technique [0002] With the development of automobile industry technology, smart cars have become a research hotspot in the field of automobiles in recent years. The lane keeping function is one of the important basic functions of smart cars, which can keep the vehicle in the center of the lane. The conventional lane keeping function only relies on the accurate lane marking information given by the camera and the information of the vehicle relative to the lane markings, as well as the vehicle's own information given by the vehicle's own sensor, to realize the real-time and stable maintenance of the vehicle on the lane centerline. However, when the lane keeping function is working, it is very likely that the road lane markings are blocked, the lane markings ...

AI Technical Summary

Problems solved by technology

However, when the lane keeping function is working, it is very likely that the road lane markings are blocked, the lane markings are severely worn, the weather is bad, and the road is slippery, etc. These information will have a serious impact on the lane keeping function, and even cause a serious car accident

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