Vehicle driving automatic control method and device

Abstract

The present invention proposes a method and device for automatic vehicle driving control, wherein the method includes: acquiring the lane line of the road ahead according to the first image, and mapping the lane line of the road ahead according to the interweaving mapping relationship between the first image and the second image Generate a plurality of front vehicle identification ranges in the second image to identify the front target vehicle and generate the front target vehicle range, and map the front target vehicle range to the first image according to the interweaving mapping relationship between the first image and the second image to generate the front vehicle The light recognition area identifies the rear turn signal of the corresponding target vehicle in front, changes the upper limit of cruising speed and cruising safety distance of the subject vehicle according to the tunnel information and speed limit information, adjusts the focal length of the camera according to the tunnel information, and adjusts the focal length of the camera according to the motion parameters of the target vehicle ahead. Cruise control in the tunnel is performed on the motion parameters of the subject vehicle. Accordingly, the cruising in the tunnel can be accurately controlled, and the driving safety of the subject vehicle can be improved.

Description

technical field [0001] The invention relates to the technical field of automobile control, in particular to a method and device for automatic control of vehicle running. Background technique [0002] At present, vehicle adaptive cruise systems usually use millimeter-wave radar, lidar, etc. as ranging sensors. Thus, the subject vehicle can sense a plurality of target vehicles in front of the subject vehicle and adaptively adjust the motion parameters of the cruise system by installing any one of the above-mentioned ranging sensors. [0003] However, for the situation where multiple target vehicles are driving in a tunnel, ranging sensors such as millimeter-wave radar and lidar cannot identify lane lines well. Therefore, the subject vehicle equipped with only millimeter-wave radar or lidar is likely to recognize the target vehicle in this lane as being in a non-own lane, and may recognize the target vehicle in a non-own lane as being in this lane, which may lead to the self-a...

AI Technical Summary

Problems solved by technology

[0003] However, for the situation where multiple target vehicles are driving in the tunnel, ranging sensors such as millimeter-wave radar and lidar cannot identify lane lines well

Therefore, the subject vehicle equipped with only millimeter-wave radar or lidar is likely to recognize the target vehicle in this lane as being in a non-own lane, and may recognize the target vehicle in a non-own lane as being in this lane, which may lead to the self-adaptation of the subject vehicle. The cruise system performs wrong braking or acceleration actions, and the driving safety of the main vehicle is low

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