CN204701532U - A kind of false alarm prevention device based on vehicle collision prewarning system - Google Patents

A kind of false alarm prevention device based on vehicle collision prewarning system Download PDF

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Publication number
CN204701532U
CN204701532U CN201520342312.0U CN201520342312U CN204701532U CN 204701532 U CN204701532 U CN 204701532U CN 201520342312 U CN201520342312 U CN 201520342312U CN 204701532 U CN204701532 U CN 204701532U
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China
Prior art keywords
steering wheel
wheel angle
vehicle
vehicle collision
lane
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CN201520342312.0U
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Chinese (zh)
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吴付威
鲁玉萍
徐远新
阮凯丽
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Changan University
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Changan University
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Abstract

The utility model belongs to auxiliary driving technique field, discloses a kind of false alarm prevention device based on vehicle collision prewarning system.This false alarm prevention device comprises the steering wheel angle sensor for gathering steering wheel angle data, for judging the microprocessor of lane-changing intention of driver according to the lane mark data of vehicle and steering wheel angle data; Described vehicle collision prewarning system is electrically connected described microprocessor, and the mouth of described steering wheel angle sensor is electrically connected the I/O input end of described microprocessor.This false alarm prevention device can prevent the erroneous judgement of vehicle collision prewarning system, thus guides chaufeur normal driving.

Description

A kind of false alarm prevention device based on vehicle collision prewarning system
Technical field
The utility model belongs to auxiliary driving technique field, particularly a kind of false alarm prevention device based on vehicle collision prewarning system.
Background technology
Before changing, chaufeur needs to observe from car surrounding vehicles and the position relationship between car, judge current state Xia Huan road whether can with surrounding vehicles generation traffic conflict.In order to reduce the erroneous judgement of chaufeur and reduce traffic accident generation, researchist have developed vehicle collision prewarning system, vehicle collision prewarning system is the important component part of drive assist system, its road traffic accident occurred because changing by the driver assistance such as (vibrations, sound form) minimizing automobile of reporting to the police.The prerequisite chaufeur of this system works open steering indicating light or the distance between vehicle and lane mark close gradually, but under current national conditions, there is larger difference in China's driver quality, awareness of safety is poor, often there is the phenomenon that chaufeur line ball travels or travels by line, vehicle collision prewarning system can be allowed like this to cause erroneous judgement, thus affect the normal driving of chaufeur.
Utility model content
The purpose of this utility model is to provide a kind of false alarm prevention device based on vehicle collision prewarning system, and this false alarm prevention device can prevent the erroneous judgement of vehicle collision prewarning system, thus guides chaufeur normal driving.
For reaching above-mentioned technical purpose, the utility model adopts following technical scheme to be achieved.
A kind of false alarm prevention device based on vehicle collision prewarning system, it is characterized in that, comprise the steering wheel angle sensor for gathering steering wheel angle data, for judging the microprocessor of lane-changing intention of driver according to the lane mark data of vehicle and steering wheel angle data; Described vehicle collision prewarning system is electrically connected described microprocessor, and the mouth of described steering wheel angle sensor is electrically connected the I/O input end of described microprocessor.
Feature and further improvement of the technical program are:
Described microprocessor is ARM9 treater.
Described steering wheel angle sensor is the 89245-0N020 steering wheel angle sensor of CHHK brand.
Described steering wheel angle sensor is installed on steering wheel for vehicle steering shaft.
The beneficial effects of the utility model are: chaufeur is being forgotten to the situation Xia Huan road of dozen steering indicating light or played good facilitation for the safe driving of the chaufeur of habituation inclined lane mark traveling.
Accompanying drawing explanation
Below in conjunction with the drawings and specific embodiments, the utility model is described in further detail.
Fig. 1 is the electric connection structure schematic diagram of a kind of false alarm prevention device based on vehicle collision prewarning system of the present utility model;
Fig. 2 is the workflow schematic diagram of vehicle lane-changing forewarn system false alarm prevention system of the present utility model.
Detailed description of the invention
With reference to Fig. 1, it is the electric connection structure schematic diagram of a kind of false alarm prevention device based on vehicle collision prewarning system of the present utility model; This false alarm prevention device comprises the steering wheel angle sensor for gathering steering wheel angle data, for judging the microprocessor of lane-changing intention of driver according to the lane mark data of vehicle and steering wheel angle data; Described vehicle collision prewarning system is electrically connected the interface end of described microprocessor, and the mouth of described steering wheel angle sensor is electrically connected the I/O input end of described microprocessor.
Wherein, described microprocessor is ARM9 treater.
Wherein, described steering wheel angle sensor is the 89245-0N020 steering wheel angle sensor of CHHK brand.
Wherein, described steering wheel angle sensor is installed on steering wheel for vehicle steering shaft.
The utility model is being forgotten the situation Xia Huan road of dozen steering indicating light to chaufeur or is playing good facilitation for the safe driving of the chaufeur of habituation inclined lane mark traveling.
This false alarm prevention device is based on vehicle collision prewarning system and AWS system, and the camera in vehicle collision prewarning system adopts and is bolted to uppermost position in the middle of car front windshield, and camera lens points to the dead ahead of target carriage travel direction.Vehicle collision prewarning system is mainly used in identifying lane mark for the horizontal position of positioned vehicle in track, for the lane mark data of collection vehicle, the lane mark data of vehicle comprise: the transverse distance of the transverse distance of vehicle left side and track, place left-lane line and vehicle right side and track, place right lane line.
In the utility model embodiment, above-mentioned vehicle collision prewarning anti-mistaking warning also comprises steering wheel angle sensor, and steering wheel angle sensor is arranged on the turning cylinder of steering wheel for vehicle.Steering wheel angle sensor is by the situation of driver's operation bearing circle in registration of vehicle driving process, and when driver's operation bearing circle is to anticlockwise, steering wheel angle sensor exports negative, and the larger numerical value of corner is less.When driver's operation bearing circle is to right rotation, steering wheel angle sensor exports positive number, and the larger numerical value of corner is larger.Particularly, steering wheel angle sensor is the 89245-0N020 steering wheel angle sensor of CHHK brand.
In the utility model embodiment, above-mentioned vehicle collision prewarning anti-mistaking warning also comprises microprocessor, and microprocessor is used for judging lane-changing intention of driver according to the lane mark data of vehicle and steering wheel angle sensor data.Microprocessor is ARM9 treater, and its concrete model is S3C2410.
With reference to Fig. 2, it is the workflow schematic diagram of vehicle collision prewarning anti-mistaking warning of the present utility model.The workflow of this false alarm prevention device comprises:
Step 1, after vehicle starts traveling, the lane mark data of vehicle collision prewarning system acquisition vehicle, the lane mark data of vehicle comprise: the transverse distance of the transverse distance of vehicle left side and track, place left-lane line and vehicle right side and track, place right lane line; The lane mark data of the vehicle collected are sent to microprocessor by vehicle collision prewarning system.The roughly process of the lane mark data of vehicle collision prewarning system acquisition vehicle is: the tag line of the Lane detection unit Real-time Collection traveling lane in vehicle collision prewarning system, the location parameter of automobile in current lane is obtained by image procossing, the transverse distance of the corresponding lane mark of the distance under current running state of vehicle is obtained by Lane detection unit, being defined as distance left-lane linear distance is just, distance right lane line is negative.
After vehicle starts traveling, steering wheel angle sensor starts to gather driver's operation bearing circle data; Described driver's operation bearing circle data comprise: the direction of driver's operation bearing circle, and the corner of driver's operation bearing circle.Steering wheel angle direction exports the positive and negative of numerical value by steering wheel angle sensor and determines, steering wheel angle data are the absolute value that steering wheel angle sensor exports data.Steering wheel angle sensor sends it to microprocessor after collecting steering wheel angle data.
Step 2, in the microprocessor, sets up the lane-changing intention of driver judgment rule based on range data between vehicle and lane mark and steering wheel angle data.Specific practice is: in processing unit, set up BP neural network determination methods, and the input node data of BP neural network comprise the Distance geometry steering wheel angle of vehicle and lane mark, and the output data of BP neural network are the lane-changing intention of chaufeur.Need to train BP neural network model before system uses.Chaufeur is adopted to keep and lane changing data in the track of real vehicle condition, respectively the BP neural network model of above-mentioned foundation is trained, in the training process, track that real vehicle carries out keeps stage vehicle and the distance of lane mark or the distance between lane changing stage vehicle with lane mark and corresponding time point steering wheel angle data respectively as the input of BP neural network, track residing for vehicle reality keep or lane changing as the Output rusults of BP neural network model, the real vehicle data of a certain amount of sample are adopted to train BP neural network model, make it possess and judge the ability of lane-changing intention of driver according to vehicle and lane mark distance and steering wheel angle.By above-mentioned BP neural network model, in actual driving conditions, vehicle collision prewarning system and the Distance geometry steering wheel for vehicle corner data between steering wheel angle sensor Real-time Collection vehicle and lane mark, and data separate BP neural network model is identified, judge whether chaufeur possesses lane-changing intention.
Step 3, after the lane-changing intention of BP neural network model to chaufeur judges, feeds back to judged result and changes forewarn system.When BP neural network model judged result be chaufeur possess lane-changing intention time, change the normal early warning of forewarn system, when BP neural network model judged result be chaufeur do not possess lane-changing intention time, change forewarn system and do not open.
According to above-mentioned workflow, can find out, by judging lane-changing intention of driver, and in conjunction with vehicle collision prewarning system, by driving behavior with change forewarn system and well combine, reduce the alert rate of mistake in early warning, chaufeur is being forgotten to the situation Xia Huan road of dozen steering indicating light or played good facilitation for the safe driving of the chaufeur of habituation inclined lane mark traveling, and the chaufeur especially for China often occurs that when traveling vehicle is too near to lane mark or line ball travels.
Brief description principle of the present utility model below.Shown by research, the operation that chaufeur can carry out to a certain degree to bearing circle in the process of changing, steering wheel angle can change.Therefore by monitoring steering wheel for vehicle corner, and in conjunction with state of motion of vehicle, thus can Obtaining Accurate lane-changing intention of driver, and significantly reduce existing rate of false alarm of changing forewarn system.In the utility model, the transverse distance of a vehicle left side (right side) track front from a road left side (right side) lane mark can be obtained by using the Lane detection unit of a vehicle collision prewarning system.Meanwhile, steering wheel angle sensor is adopted to obtain the information of driver's operation bearing circle.To set up between vehicle and lane mark Distance geometry steering wheel angle as input data, the lane-changing intention of chaufeur as the BP neural network judgment models exporting data, for judging the lane-changing intention of chaufeur.And by a large amount of real vehicle data samples, BP neural network model is trained in advance, make it possess the ability judging lane-changing intention of driver according to the Distance geometry steering wheel angle between vehicle and lane mark.Under can getting rid of current background thus, chaufeur often reports problem by mistake because line ball travels the forewarn system that changes caused.
Although be below described embodiment of the present utility model by reference to the accompanying drawings, but the utility model is not limited to above-mentioned specific embodiments and applications field, above-mentioned specific embodiments is only schematic, guiding, instead of restrictive.Those of ordinary skill in the art is under the enlightenment of specification sheets, and when not departing from the scope that the utility model claim is protected, can also make a variety of forms, these all belong to the row of the utility model protection.

Claims (4)

1. the false alarm prevention device based on vehicle collision prewarning system, it is characterized in that, comprise the steering wheel angle sensor for gathering steering wheel angle data, for judging the microprocessor of lane-changing intention of driver according to the lane mark data of vehicle and steering wheel angle data; Described vehicle collision prewarning system is electrically connected described microprocessor, and the mouth of described steering wheel angle sensor is electrically connected the I/O input end of described microprocessor.
2. a kind of false alarm prevention device based on vehicle collision prewarning system according to claim 1, it is characterized in that, described microprocessor is ARM9 treater.
3. a kind of false alarm prevention device based on vehicle collision prewarning system according to claim 1, is characterized in that, described steering wheel angle sensor is the 89245-0N020 steering wheel angle sensor of CHHK brand.
4. a kind of false alarm prevention device based on vehicle collision prewarning system according to claim 1, it is characterized in that, described steering wheel angle sensor is installed on steering wheel for vehicle steering shaft.
CN201520342312.0U 2015-05-25 2015-05-25 A kind of false alarm prevention device based on vehicle collision prewarning system Expired - Fee Related CN204701532U (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106515577A (en) * 2016-11-25 2017-03-22 长安大学 Device for decreasing lane changing early warning false alarm rate and method of device
CN107176098A (en) * 2017-07-10 2017-09-19 辽宁工业大学 A kind of poor automatic monitoring warning device in blind area of lubrication groove and control method
CN107203738A (en) * 2016-03-17 2017-09-26 福特全球技术公司 Vehicle lane boundary alignment
CN109050536A (en) * 2018-07-06 2018-12-21 盯盯拍(深圳)技术股份有限公司 Automobile assistant driving method and automobile assistant driving device
CN111907521A (en) * 2020-06-15 2020-11-10 浙江吉利汽车研究院有限公司 Transverse control method and device for automatic driving vehicle and storage medium
CN114572106A (en) * 2020-12-02 2022-06-03 上海擎感智能科技有限公司 Method for automatically turning on steering lamp, vehicle-mounted equipment and computer storage medium
CN114619949A (en) * 2020-12-09 2022-06-14 博泰车联网科技(上海)股份有限公司 Expressway lane change prompting method and device, vehicle, electronic equipment and medium

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107203738A (en) * 2016-03-17 2017-09-26 福特全球技术公司 Vehicle lane boundary alignment
CN107203738B (en) * 2016-03-17 2022-04-12 福特全球技术公司 Vehicle lane boundary positioning
CN106515577A (en) * 2016-11-25 2017-03-22 长安大学 Device for decreasing lane changing early warning false alarm rate and method of device
CN107176098A (en) * 2017-07-10 2017-09-19 辽宁工业大学 A kind of poor automatic monitoring warning device in blind area of lubrication groove and control method
CN107176098B (en) * 2017-07-10 2023-07-07 辽宁工业大学 Automatic monitoring and early warning device for inner wheel difference blind area and control method
CN109050536A (en) * 2018-07-06 2018-12-21 盯盯拍(深圳)技术股份有限公司 Automobile assistant driving method and automobile assistant driving device
CN111907521A (en) * 2020-06-15 2020-11-10 浙江吉利汽车研究院有限公司 Transverse control method and device for automatic driving vehicle and storage medium
CN111907521B (en) * 2020-06-15 2022-11-22 浙江吉利汽车研究院有限公司 Transverse control method and device for automatic driving vehicle and storage medium
CN114572106A (en) * 2020-12-02 2022-06-03 上海擎感智能科技有限公司 Method for automatically turning on steering lamp, vehicle-mounted equipment and computer storage medium
CN114572106B (en) * 2020-12-02 2023-11-28 上海擎感智能科技有限公司 Method for automatically turning on turn signal, vehicle-mounted equipment and computer storage medium
CN114619949A (en) * 2020-12-09 2022-06-14 博泰车联网科技(上海)股份有限公司 Expressway lane change prompting method and device, vehicle, electronic equipment and medium
CN114619949B (en) * 2020-12-09 2023-11-03 博泰车联网科技(上海)股份有限公司 Highway lane change prompting method and device, vehicle, electronic equipment and medium

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CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20151014

Termination date: 20160525