Adaptive lane keeping system and method

Abstract

The invention discloses an adaptive lane keeping system and method. The adaptive lane keeping system comprises a camera device, a radar device, a torque sensor device, an advanced driving assistant system (ADAS) controller and a steering controller; the camera device is used for collecting lane line position information and target vehicle information; the radar device is used for obtaining environment information data of a vehicle; the torque sensor device is used for obtaining torque input information of a steering wheel; the ADAS controller is used for receiving and analyzing information of the camera device, the radar device and the torque sensor device, obtaining vehicle working condition environment information and sending an adjusting control instruction to the steering controller according to the working condition environment information; and the steering controller is used for receiving the adjusting control instruction of the ADAS controller and controlling the vehicle to automatically adjust the driving direction. According to the adaptive lane keeping system and method, under the different scenes, the system can complete adaptive lane deviation rectifying, functional safety is improved, thus a driver is better assisted, and the comfort degree is significantly increased.

Description

technical field [0001] The invention relates to vehicle intelligent assisted driving technology, in particular to an adaptive lane keeping system and method. Background technique [0002] With the rapid increase of car ownership year by year, driving safety is particularly important. Lane line recognition technology plays a very important role in ensuring driving safety and has been widely used in vehicle intelligent control. [0003] At present, the industry mostly uses the front camera to detect the lane line in front of the vehicle, and corrects the vehicle based on the detection results. Because the driving environment is usually more complicated, especially when vehicles in adjacent lanes are driving against the line or there are large trucks, simply controlling the vehicle in the center of the lane will affect the driving experience. Moreover, the traditional lane keeping assist function uses a fuzzy logic controller (FLC) for lane line detection. The way of using FLC...

AI Technical Summary

Problems solved by technology

Because the driving environment is usually complicated, especially when vehicles in adjacent lanes are driving on the line or there are large trucks, simply controlling the vehicle in the center of the lane will affect the driving experience.

Moreover, the traditional lane keeping assist function uses a fuzzy logic controller (FLC) for lane line detection. The way of using FLC for lane line detection has certain advantages, but when the vehicle is driving against the light and the vehicle in front is blocked, the lane line The detection rate is extremely low, which is difficult to solve in traditional practice

The current lane departure assistance function on the market is accomplished through the Advanced Driving Assistant System (ADAS), which mainly provides assistance when the driver deviates from the original lane without realizing it, so that the vehicle can return to the original lane. Lane, if the driver does not take over the vehicle for a long time, the vehicle will deviate from the lane on the other side, which will cause the vehicle to drive in a snake shape under the action of the road departure assist function

Due to the unstable driving route of the vehicle, there is a risk of collision with the adjacent lane at any time

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