A kind of automatic emergency braking control method and system

Abstract

The invention discloses an automatic emergency braking control method and system, and relates to the technical field of advanced assisted driving automatic emergency braking. The control method includes the steps of: acquiring first specific information and second specific information; and the known vehicle data to obtain the first estimated time of collision t1 and the first collision risk flag f1, and according to the second specific information and known vehicle data to obtain the second estimated time of collision t2 and the second collision risk flag f2: According to t1, t2, f1, and f2, it is judged whether the emergency braking trigger condition is met, and when the condition is met, the emergency braking is performed, and when the condition is not met, the emergency braking is not performed. The automatic emergency braking control method provided by the present invention can enhance the reliability of identifying objects and reduce malfunctions and missing actions in the process of automatic emergency braking, thereby improving driving safety and comfort and improving user safety. experience.

Description

technical field [0001] The invention relates to the technical field of advanced assisted driving automatic emergency braking, in particular to an automatic emergency braking control method and system. Background technique [0002] In recent years, the AEB (Autonomous Emergency Braking) system, which is one of the driving assistance systems, has been widely recognized by consumers. The AEB system refers to the automatic emergency braking system, which can automatically monitor the distance and relative speed of the target ahead. When the driver brakes too late, the braking force is too small, or the driver fails to brake, the vehicle will give an alarm or actively brake, so the AEB system has an active safety function. As an enterprise standard requirement, more and more models are equipped with AEB system when they are launched. [0003] In the prior art, the mainstream AEB system measures the distance to the vehicle in front or obstacles based on radar sensors and visual s...

AI Technical Summary

Problems solved by technology

Although the AEB system is being continuously optimized, in actual use, there are still situations where the AEB system cannot cope with complex and changeable driving conditions. For example, when the vehicle is driving against the When there is a pedestrian with a large volume, the AEB system may fail to accurately identify the pedestrian and make a false judgment of missing motion; for example, when affected by bad weather, interference from other radar sources, or interference from light sources, the performance of the radar sensor or visual sensor may decrease. As a result, the AEB system mistakenly recognizes metal objects on the ground or height limit poles as targets and triggers automatic emergency braking by mistake; in addition, when the vehicle is driving at an intersection or narrow road with poor visibility, if other vehicles or pedestrians suddenly If the radar sensor or visual sensor does not respond in time, the AEB system may not be able to identify the target in time and may make a false judgment of the missing action if it enters the driving path of the vehicle.

[0004] Therefore, the AEB system based on radar sensors and vision sensors in the prior art has the risk of misoperation and missing operation. On the one hand, there are potential safety hazards, and on the other hand, the user experience is reduced

Therefore, the AEB system in the prior art needs to be improved

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