Intelligent vehicle running control method and system

Abstract

The invention discloses an intelligent vehicle running control method and system, and relates to the technical field of automatic control. The intelligent vehicle running control method comprises the steps of: obtaining multiple images of roads in front of a vehicle in different angles in real time by cameras arranged at different positions of the vehicle so as to obtain efficient images of the road in front of the vehicle; extracting lane line information and performing coordinate transformation on the lane line information and demarcating the information at a corresponding position of a road right information infusion coordinate system; obtaining road right information within a preset running range, judging the current road right state based on the road right information, and controlling the vehicle to run based on the road right condition and the lane line information. The intelligent vehicle running control method and system can avoid a multifarious formula algorithm, not only improves efficiency, but also can obtain missing information based on a practical image, further improves accuracy, gives overall consideration for various road right information, can judge a next running control way more exactly and more efficiently based on specific conditions, can leave out a process of a plenty of inefficient calculation, and improves the vehicle running efficiency and accuracy greatly.

Description

technical field [0001] The invention relates to the technical field of automatic control, in particular to a method and system for controlling the travel of an intelligent vehicle. Background technique [0002] Intelligent driving technology involves cognitive engineering, vehicle engineering, electrical and electronic engineering, control science and engineering, artificial intelligence and many other disciplines. Intelligent vehicles are an important symbol to measure a country's scientific research strength and industrial level. The emergence of unmanned vehicles has fundamentally changed the vehicle driving mode in the traditional "human-vehicle-road" closed-loop system, liberating the driver from fatigue driving, using advanced sensors and information technology to control vehicle driving, Automating routine, long-lasting, low-level, and repetitive operations in driving activities can greatly improve the efficiency and safety of the transportation system, improve the qu...

AI Technical Summary

Problems solved by technology

Under the premise that the road width is fixed or changes slowly, the system detects parallel lane lines with a certain width, which can be robust to shadows and occlusions, but this assumption is not suitable for roads with frequent width changes

It can be seen that due to the limitation of the calculation model used, this scheme will not be well applicable in non-ideal conditions such as many vehicles on the road, many events such as merging, irregular roads, and fast vehicle speeds.

[0006] It can be seen that for non-ideal conditions such as many vehicles on the road, frequent events such as merging lines, irregular roads, and fast vehicle speeds, the existing solutions cannot well deal with lane line occlusion and other problems that affect lane line recognition. In practical applications, there is a problem that the control of the smart car is not accurate enough, or even impossible to achieve control.

[0007] That is to say, for the emerging technical field of intelligent driving, there are many problems in the existing solutions for the driving control of intelligent vehicles, which cannot well adapt to the further development of intelligent driving technology and the actual application requirements.

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