Adjustment method used for lane width threshold of blind spot monitoring system

Abstract

The invention discloses an adjustment method used for lane width threshold of blind spot monitoring system. The adjustment method comprises the following steps that (a) the front view multi-functionalcamera which is assembled in the front middle of the vehicle recognizes the current lane information, if the front view multi-functional camera can recognize the lane line of the current lane, step (b) is entered, otherwise step (d) is entered; the front multi-function camera outputs lane width L1, the distance L2 from the left side of a vehicle to the left lane line and the distance L3 from theright side of the vehicle to the right lane line; (c) the blind spot monitoring system sets the lane width threshold value and set the left lane width threshold value as L1 + L2 and the right lane width threshold value as L1 + L3; and (d) the blind spot monitoring system sets the lane width threshold value according to the current vehicle speed value. The adjustment method used for lane width threshold of blind spot monitoring system can automatically adjust the threshold value of lane width to prevent the situation of missing alarm or false alarm of blind spot monitoring system.

Description

technical field [0001] The invention relates to the technical field of automobiles, in particular to a method for adjusting a lane width threshold value of a blind spot monitoring system. Background technique [0002] Because there is a visual blind spot in the rearview mirror of the car, the vehicle in the blind spot cannot be seen before changing lanes. If there is an overtaking vehicle in the blind spot, a collision accident will occur when changing lanes at this time. The blind spot monitoring system is created to solve the blind spot of the rearview mirror. Its working principle is that the system sets a constant lane width threshold, also called the lateral detection range, as a means of identifying moving targets in the adjacent lane behind the vehicle. Lateral distance benchmark, when it detects that there is a moving object (car, motorcycle, bicycle, etc.) that meets the alarm conditions behind the vehicle within this lateral detection range, the system will alarm t...

AI Technical Summary

Problems solved by technology

[0004] The existing solution is that when the vehicle and the target vehicle are driving on the far side of two adjacent lanes, the blind spot monitoring system fails to effectively identify the target vehicle and issue an alarm according to a constant lane width threshold (that is, the lateral detection range). Increase the system's constant lane width threshold, but simply increasing the system's lane width threshold will increase the false alarm rate of the system, that is, the system mistakenly recognizes vehicles in the separated lane as being in the adjacent lane, resulting in unnecessary false alarms

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