Self-adaptive setting method and system for alarm strategy of vehicle active safety system

An active safety and self-adaptive technology, applied in anti-collision systems, etc., to improve driving safety and comfort, standardize driver behavior, and reduce operating costs

Inactive Publication Date: 2021-01-29
WUHAN JIMU INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above defects or improvement needs of the prior art, the present invention proposes a method and system for adaptively setting the alarm strategy of the vehicle active safety system, thus solving the problem of using statistical data from a small sample of research institutions in the prior art to set a fixed alarm The time point or the safe distance with the car, there are certain limitations of technical problems

Method used

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  • Self-adaptive setting method and system for alarm strategy of vehicle active safety system
  • Self-adaptive setting method and system for alarm strategy of vehicle active safety system
  • Self-adaptive setting method and system for alarm strategy of vehicle active safety system

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Embodiment 1

[0040] Such as figure 2 Shown is a schematic structural diagram of an adaptive setting system for a vehicle active safety system alarm strategy provided by an embodiment of the present invention. , millimeter-wave radar) to collect the alarm time and the driver's braking operation time point, and establish the driver's driving habit analysis and evaluation model, so as to set the alarm strategy personalized and dynamically according to the driver's driving habits and style.

[0041] Such as figure 2 As shown, the system includes: data acquisition module 1, data analysis module 2 and upgrade module 3;

[0042] The data acquisition module is used to obtain the collision time TTC and the vehicle's own signal, wherein the collision time TTC is obtained by the ADAS device according to the location and movement information of the obstacle, and the vehicle's own signal is obtained by the ADAS device through the CAN bus;

[0043] The data analysis module 2 is used to analyze the d...

Embodiment 2

[0053] Such as image 3 As shown, the system also includes: a data storage and transmission module 4;

[0054] Wherein, the data acquisition module 1 and the OTA upgrade module 3 are connected to the data storage and transmission module 4 by wireless;

[0055] Among them, ADAS device 5 may include: camera, vision, millimeter-wave radar, lidar or the fusion of multiple devices to provide road environment perception, obtain the positioning and movement information of obstacles (vehicles, pedestrians, etc.), and receive them through CAN Body signals (such as vehicle speed, braking and steering, etc.);

[0056] In the embodiment of the present invention, the above-mentioned ADAS device 5 is used to obtain the location and movement information of the obstacle, and obtain the collision time TTC according to the location and movement information of the obstacle;

[0057] The data storage and transmission module 4 is used for locally storing the data acquired by the ADAS device 5, a...

Embodiment 3

[0075] Such as Figure 4 Shown is a schematic flowchart of a method for adaptively setting an alarm strategy for a vehicle active safety system provided by an embodiment of the present invention, including the following steps:

[0076] S1: Obtain the collision time TTC and the vehicle's own signal, wherein the collision time TTC is obtained by the ADAS device according to the location and movement information of the obstacle, and the vehicle's own signal is obtained by the ADAS device through the CAN bus;

[0077] S2: Analyze the driving habits according to the collision time TTC and the vehicle's own signal, and formulate an alarm strategy based on the analyzed driving habits. The driving habits include the size relationship between the driver's braking operation time point and the collision alarm point, And LDW alarm status and corresponding turn signal operation status;

[0078] S3: Updating the alarm strategy in the ADAS device according to the reformulated alarm strategy...

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Abstract

The invention discloses a self-adaptive setting method and system for an alarm strategy of a vehicle active safety system, which belong to safe driving of vehicles. Collision time and a signal of a vehicle are obtained through a data acquisition module, the collision time is obtained by ADAS equipment according to positioning and movement information of an obstacle, and the signal of the vehicle is obtained by the ADAS equipment through a CAN bus; driving habit analysis is conducted through a data analysis module according to the collision time and the signals of the vehicle, an alarm strategyis formulated on the basis of the analyzed driving habit, and the driving habit comprises the size relation between the driver braking operation time point and the collision alarm point, the LDW alarm state and the corresponding steering lamp operation state; and the alarm strategy in the ADAS equipment is updated through the upgrading module according to the reformulated alarm strategy. Based onthe driving habit and style of the driver, the alarm and control strategy of the vehicle-mounted active safety system is adaptively and dynamically adjusted, and the influence of the unified alarm strategy on the user experience is avoided.

Description

technical field [0001] The invention belongs to the field of automobile safe driving, and more specifically relates to a method and system for adaptively setting an alarm strategy of a vehicle active safety system. Background technique [0002] Active safety system control strategies include Forward Collision Warning (FCW) and collision time (Time-to-Collision, TTC) settings, headway monitoring warning (Headway Monitoring Warning, HMW) and safety time distance (Time Headway, THW) setting and adaptive cruise control (Adaptive Cruise Control, ACC) and the closest following distance setting, lane departure warning system (Lane DepartureWarning, LDW), etc. At present, the settings of alarm or control strategies are all based on small-sample statistical data, and the main considerations include driver reaction time and vehicle braking time. The braking time of a vehicle is related to its braking performance, but the braking performance of the same vehicle has little difference, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/16
CPCG08G1/16
Inventor 王述良许端陈岚马冀程建伟
Owner WUHAN JIMU INTELLIGENT TECH CO LTD
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