阅读说明：本技术 一种车辆与骑乘人员双向预警方法、系统、设备及存储介质 (Bidirectional early warning method, system, equipment and storage medium for vehicle and rider ) 是由 祝贺 吕晓江 卢冬梅 胡帅帅 管立君 孙海云 杨震 林抒 王鹏翔 周大永 顾鹏云 于 2021-10-21 设计创作，主要内容包括：本发明提供一种车辆与骑乘人员双向预警方法、系统、设备及存储介质,属于智能驾驶技术领域。车辆与骑乘人员双向预警方法包括：安装在头盔上的智能头盔端获取骑乘人员行驶信息,并将骑乘人员行驶信息传送给云端；安装在车辆上的车端获取车辆行驶信息,并将车辆行驶信息传送给云端；若骑乘人员行驶信息和车辆行驶信息符合预设潜在危险条件,云端分别向智能头盔端和车端发出预警信息；根据预警信息,车端和智能头盔端对应做出预警行为。有效解决了头盔仅在碰撞前发出单向预警,以及碰撞后对骑行者颈部保护不足问题。实现了潜在危险场景下骑乘人员及车辆信息互联及双向预警。极大保障了骑行人员和驾驶员的生命健康安全。(The invention provides a bidirectional early warning method, system, equipment and storage medium for vehicles and riders, and belongs to the technical field of intelligent driving. The bidirectional early warning method for the vehicle and the rider comprises the following steps: the intelligent helmet end arranged on the helmet acquires the driving information of the riders and transmits the driving information of the riders to the cloud end; the method comprises the steps that a vehicle end arranged on a vehicle obtains vehicle running information and transmits the vehicle running information to a cloud end; if the driving information of the riders and the driving information of the vehicles accord with preset potential danger conditions, the cloud end respectively sends out early warning information to the intelligent helmet end and the vehicle end; and according to the early warning information, the vehicle end and the intelligent helmet end correspondingly make early warning behaviors. The problem that the helmet only sends out one-way early warning before collision and the neck of a rider is not protected sufficiently after collision is effectively solved. The information interconnection and bidirectional early warning of the riders and the vehicles in the potentially dangerous scene are realized. The life health and safety of riding personnel and drivers are greatly guaranteed.)

1. A bidirectional early warning method for a vehicle and a rider is characterized by comprising the following processes:

the method comprises the following steps that an intelligent helmet end installed on a helmet acquires driving information of a rider and transmits the driving information of the rider to a cloud end;

the method comprises the steps that a vehicle end arranged on a vehicle obtains vehicle running information and transmits the vehicle running information to a cloud end;

if the driving information of the riders and the driving information of the vehicle accord with preset potential dangerous conditions, the cloud end respectively sends out early warning information to the intelligent helmet end and the vehicle end;

and according to the early warning information, the vehicle end and the intelligent helmet end correspondingly make early warning behaviors.

2. The bi-directional warning method for vehicle and rider as claimed in claim 1, wherein the potentially dangerous condition is: and within a preset collision moment threshold value, a potential dangerous scene occurs.

3. The bidirectional warning method for vehicle and rider as claimed in claim 2, wherein the potentially dangerous scene at least comprises: the method comprises the following steps that a scene that riders under a straight lane cross a road and collide with vehicles, a scene that riders at road intersections collide with turning vehicles, a scene that riders under the straight lane collide with the vehicles in the same direction or opposite directions, and a scene that riders collide when the vehicles stop and open the doors.

4. The bidirectional warning method for the vehicle and the rider as claimed in claim 1, wherein the cloud sending out the warning information comprises the following processes:

based on the map stored in the cloud end, when the pre-collision moment is larger than a preset collision moment threshold value, the cloud computing platform in the cloud end judges whether the riding person running information and the vehicle running information meet a preset potential dangerous scene;

if the driving information of the riders and the driving information of the vehicle meet a preset potential dangerous scene, the cloud end respectively sends a connection instruction to the vehicle end and the intelligent helmet end, and a communication module of the vehicle end is matched with a communication module of the intelligent helmet end;

and when the pre-collision moment is less than or equal to the collision moment threshold, the cloud end sends early warning information to the vehicle end and the intelligent helmet end respectively.

5. The vehicle-to-rider bidirectional early warning method according to claim 4, wherein when the driving information of the rider and the driving information of the vehicle meet preset potential dangerous conditions, a vehicle-mounted warning module at the vehicle end displays the position information of the rider in real time.

6. The method as claimed in claim 1, further comprising sending an airbag ignition instruction to the smart helmet end by a vehicle-mounted sensing module at the vehicle end after the rider collides with the vehicle.

7. The bi-directional pre-warning method for the vehicle and the rider as claimed in claim 1, wherein the intelligent helmet end is mounted on a helmet, and the helmet further comprises a helmet body and an air bag.

8. A vehicle and rider bi-directional warning system, the system comprising:

the system comprises a driver information acquisition unit, a cloud terminal and a driver information acquisition unit, wherein the driver information acquisition unit is used for acquiring driver running information through an intelligent helmet end arranged on a helmet and transmitting the driver running information to the cloud terminal;

the vehicle information acquisition unit is used for acquiring vehicle running information through a vehicle end installed on a vehicle and transmitting the vehicle running information to the cloud end;

the early warning information sending unit is used for judging that if the driving information of the riders and the driving information of the vehicles accord with preset potential danger conditions, the cloud end sends early warning information to the intelligent helmet end and the vehicle end respectively;

and the early warning behavior response unit is used for making an early warning behavior correspondingly by the vehicle end and the intelligent helmet end according to the early warning information.

9. The utility model provides a two-way early warning equipment of vehicle and rider which characterized in that: comprising a processor coupled with a memory, the memory storing program instructions that, when executed by the processor, implement the method of any of claims 1 to 7.

10. A computer-readable storage medium characterized by: comprising a program which, when run on an on-board computer, causes a vehicle to carry out the method of any one of claims 1 to 7.

Technical Field

The invention relates to the technical field of intelligent driving, in particular to a bidirectional early warning method, system, equipment and storage medium for vehicles and riders.

Background

The Chinese road traffic condition is complex, people and vehicles run in a mixed way, and particularly, the traffic accident case of the riders presents a high tendency. The running route of the rider is irregular, and the rider can collide with any area at the front end of the vehicle in real traffic accidents. Particularly, under the conditions that riders cross roads, pass through crossroads, change lanes of vehicles, open doors of the vehicles and the like, collision accidents are easy to happen, so that riders are injured, and even serious riders endanger life. Therefore, early warning and collision protection for riders and related vehicles in these potentially dangerous scenes are particularly important. In the prior art, generally, definition of dangerous scenes is not accurate enough, so that vehicles are easy to be triggered by mistake or frequently in non-dangerous scenes. Therefore, it is desirable to provide a method, a system, a device and a storage medium for bidirectional warning of a vehicle and a rider.

Disclosure of Invention

In view of the above shortcomings in the prior art, an object of the present invention is to provide a method, a system, a device and a storage medium for bi-directional warning of a vehicle and a rider, so as to solve the problems in the prior art that the definition of a dangerous scene is not accurate, and the vehicle is prone to frequent triggering or false triggering.

In order to achieve the above objects and other related objects, the present invention provides a bidirectional warning method for a vehicle and a rider, comprising the following steps:

the method comprises the following steps that an intelligent helmet end installed on a helmet acquires driving information of a rider and transmits the driving information of the rider to a cloud end;

the method comprises the steps that a vehicle end arranged on a vehicle obtains vehicle running information and transmits the vehicle running information to a cloud end;

if the driving information of the riders and the driving information of the vehicle accord with preset potential dangerous conditions, the cloud end respectively sends out early warning information to the intelligent helmet end and the vehicle end;

and according to the early warning information, the vehicle end and the intelligent helmet end correspondingly make early warning behaviors.

In an embodiment of the present invention, the intelligent helmet end is mounted on a helmet, and the helmet further includes a helmet body and an airbag.

In an embodiment of the present invention, the potentially dangerous condition is: and within a preset collision moment threshold value, a potential dangerous scene occurs.

In an embodiment of the present invention, the potentially dangerous scenario at least includes: the method comprises the following steps that a scene that riders under a straight lane cross a road and collide with vehicles, a scene that riders at road intersections collide with turning vehicles, a scene that riders under the straight lane collide with the vehicles in the same direction or opposite directions, and a scene that riders collide when the vehicles stop and open the doors.

In an embodiment of the present invention, the sending of the early warning information by the cloud includes the following processes:

based on the map stored in the cloud end, when the pre-collision moment is greater than a preset time interval, the cloud computing platform in the cloud end judges whether the riding person running information and the vehicle running information meet a preset potential dangerous scene;

if the driving information of the riders and the driving information of the vehicle meet a preset potential dangerous scene, the cloud end respectively sends a connection instruction to the vehicle end and the intelligent helmet end, and a communication module of the vehicle end is matched with a communication module of the intelligent helmet end;

and when the pre-collision moment is less than or equal to a preset time interval, the cloud end respectively sends early warning information to the vehicle end and the intelligent helmet end.

In an embodiment of the present invention, when the driving information of the rider and the driving information of the vehicle meet a preset potential danger condition, the vehicle-mounted warning module at the vehicle end displays the position information of the rider in real time.

In an embodiment of the present invention, the method further includes sending an airbag ignition instruction to the intelligent helmet end by a vehicle-mounted sensing module at the vehicle end after the rider collides with the vehicle.

In an embodiment of the present invention, there is also provided a bidirectional warning system for a vehicle and a rider, including:

the system comprises a driver information acquisition unit, a cloud terminal and a driver information acquisition unit, wherein the driver information acquisition unit is used for acquiring driver running information through an intelligent helmet end arranged on a helmet and transmitting the driver running information to the cloud terminal;

the vehicle information acquisition unit is used for acquiring vehicle running information through a vehicle end installed on a vehicle and transmitting the vehicle running information to the cloud end;

the early warning information sending unit is used for judging that if the driving information of the riders and the driving information of the vehicles accord with preset potential danger conditions, the cloud end sends early warning information to the intelligent helmet end and the vehicle end respectively;

and the early warning behavior response unit is used for making an early warning behavior correspondingly by the vehicle end and the intelligent helmet end according to the early warning information.

In an embodiment of the present invention, there is also provided a bidirectional warning apparatus for a vehicle and a rider, including a processor coupled to a memory, the memory storing program instructions, and the processor implementing any one of the above methods when the program instructions stored in the memory are executed by the processor.

In an embodiment of the invention, there is also provided a computer readable storage medium comprising a program which, when run on an on-board computer, causes a vehicle to perform the method of any one of the above.

In summary, the present invention provides a method, a system, a device, and a storage medium for bidirectional warning of a vehicle and a rider, where position information of the rider and the vehicle is obtained in real time through positioning modules at a vehicle end and an intelligent helmet end, and after the position information is analyzed and processed through a cloud, information interconnection and bidirectional warning of the rider and the vehicle are achieved when a potential danger condition is met. Dangerous scenes are identified through a high-definition map at the cloud end and a cloud computing platform, and false triggering of an alarm caused by vehicle perception defects is avoided. The life health and safety of riding personnel and drivers are greatly guaranteed.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a schematic diagram illustrating a bidirectional warning method for a vehicle and a rider according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart illustrating a bi-directional warning between a vehicle and a rider according to an embodiment of the present invention;

FIG. 3 is a schematic view of a helmet according to an embodiment of the present invention;

FIG. 4 is a flowchart illustrating the step S3 according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of a bidirectional warning system for a vehicle and a rider according to an embodiment of the present invention;

fig. 6 is a block diagram of an early warning information sending unit according to an embodiment of the present invention.

Element number description:

1. a bidirectional early warning system for vehicles and riders; 11. a rider information acquisition unit; 12. a vehicle information acquisition unit; 13. an early warning information transmitting unit; 131. a potential danger scene judging module; 132. a connection instruction sending module; 133. an early warning information receiving module; 14. a corresponding unit of early warning action; 100. a vehicle end; 200. an intelligent helmet end; 201. a helmet body; 202. an air bag; 300. and (4) cloud.

Detailed Description

The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. It is also to be understood that the terminology used in the examples is for the purpose of describing particular embodiments only, and is not intended to limit the scope of the present invention. Test methods in which specific conditions are not specified in the following examples are generally carried out under conventional conditions or under conditions recommended by the respective manufacturers.

Please refer to fig. 1 to 6. It should be understood that the structures, ratios, sizes, and the like shown in the drawings are only used for matching the disclosure of the present disclosure, and are not used for limiting the conditions of the present disclosure, so that the present disclosure is not limited to the technical essence, and any modifications of the structures, changes of the ratios, or adjustments of the sizes, can still fall within the scope of the present disclosure without affecting the function and the achievable purpose of the present disclosure. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.

When numerical ranges are given in the examples, it is understood that both endpoints of each of the numerical ranges and any value therebetween can be selected unless the invention otherwise indicated. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs and the description of the present invention, and any methods, apparatuses, and materials similar or equivalent to those described in the examples of the present invention may be used to practice the present invention.

Referring to fig. 1 to 2, fig. 1 is a schematic structural diagram illustrating a bidirectional warning method for a vehicle and a rider according to an embodiment of the present invention, and fig. 2 is a schematic flow chart illustrating bidirectional warning for the vehicle and the rider according to an embodiment of the present invention. The invention provides a bidirectional early warning method for vehicles and riders, which combines a V2X technology with a damage protection technology and transmits driving information of the vehicles and the riders to a cloud. When the high-definition map and the cloud computing platform at the cloud end recognize that the potential dangerous scene exists, the bidirectional early warning is sent to the vehicle end and the intelligent helmet end. The false alarm caused by the vehicle perception defect is avoided. In addition, when collision occurs, the neck can be protected through the helmet airbag, and information interconnection and bidirectional early warning of potential dangerous scene riders and vehicles are achieved. Among them, the V2X technology is a key technology of future intelligent transportation systems. It enables communication between cars, between cars and base stations, and between base stations. Therefore, a series of traffic information such as real-time road conditions, road information, pedestrian information and the like is obtained, so that the driving safety is improved, the congestion is reduced, the traffic efficiency is improved, and the vehicle-mounted entertainment information is provided.

Referring to fig. 1 to 2, in an embodiment of the present invention, a bidirectional warning method for a vehicle and a rider is provided, which includes the following steps:

s1, the intelligent helmet 200 installed on the helmet acquires the driving information of the rider, and transmits the driving information of the rider to the cloud 300;

s2, the vehicle end 100 installed on the vehicle acquires the vehicle driving information and transmits the vehicle driving information to the cloud 300;

s3, if the driving information of the riders and the driving information of the vehicles meet the preset potential dangerous conditions, the cloud 300 sends out warning information to the smart helmet 200 and the vehicle 100, respectively;

and S4, correspondingly making early warning behaviors by the vehicle end 100 and the intelligent helmet end 200 according to the early warning information.

The intelligent helmet end 200 is installed on a helmet worn by a rider, and in an embodiment of the present invention, the driving information of the rider includes position information and speed information. The running information of the riders is uploaded to the server of the cloud 300 in real time through the communication module of the intelligent helmet 200 for storage. The vehicle end 100 is installed on a vehicle, and can acquire position information and speed information of the vehicle in running and upload the information to the server of the cloud end 300 through the communication module of the vehicle end 100 for storage. When the cloud computing platform of the cloud end 300 judges that the driving information of the vehicle and the riding personnel meets the preset potential dangerous condition based on the position information of the two vehicles in the map, the cloud computing platform sends early warning information to the communication module of the vehicle end 100 and the communication module of the intelligent helmet end 200 through the communication module of the cloud end 300 respectively. The vehicle end 100 and the intelligent helmet end 200 correspondingly make early warning behaviors according to the obtained early warning information, so that bidirectional early warning is performed on the rider and the driver, and the life safety of the rider is protected to the maximum extent. In an embodiment of the present invention, a vehicle on which a rider rides satisfies the following conditions: a rider is required to wear a helmet for riding. Including but not limited to tricycles, electric vehicles, bicycles, motorcycles, and the like.

The vehicle of the present invention is a non-rail-mounted vehicle having 4 or more wheels, and is driven by power, and includes, but is not limited to, a large-sized automobile, a small-sized automobile, a semi-trailer, and a full trailer.

Referring to fig. 3, fig. 3 is a schematic structural diagram of a helmet according to an embodiment of the present invention. In an embodiment of the present invention, the intelligent helmet end 200 is mounted on a helmet, and the helmet further includes a helmet body 201 and an airbag 202. Wherein, gasbag 202 is installed at helmet body 201 neck opening part, and after gasbag 202 was exploded by the point, the human neck was lived in the parcel, played the guard action to the neck.

Referring to fig. 1, in an embodiment of the present invention, the vehicle end 100 is installed with a communication module, a positioning module, a vehicle-mounted computing platform, a vehicle-mounted warning module, and a vehicle-mounted sensing module. The communication module is used for sending out a communication signal to realize the communication with the cloud end 300 and the intelligent helmet end 200; the positioning module is used for acquiring real-time position information of the vehicle and sending the position information to the cloud 300 or the intelligent helmet end 200 through the communication module; after receiving the data sent by the communication module and the vehicle-mounted sensing module, the vehicle-mounted computing platform pre-judges the falling position of the rider by analyzing the position and speed information of the rider, current road condition information and the like, and sends the information to the rider and a driver; the vehicle-mounted warning module is used for receiving the position information of the riders transmitted by the vehicle-mounted computing platform and displaying the position information to a driver in real time; the vehicle-mounted sensing module is used for acquiring interactive information between the vehicle and the outside, such as real-time vehicle speed information, external road condition information and the like. In an embodiment of the present invention, the vehicle sensing module includes, but is not limited to, a camera, a radar, and an acceleration sensor.

In an embodiment of the present invention, the intelligent helmet end 200 is installed with a communication module, a positioning module, a control module, a helmet warning module, and a power module. The communication module is used for sending out a communication signal and is communicated with the cloud end 300 and the vehicle end 100; the positioning module is used for acquiring real-time position information of a riding vehicle of a rider and transmitting the real-time position information to the cloud 300 or the vehicle end 100 through the communication module; the control module is used for receiving an instruction sent by the cloud 300 and transmitted by the communication module, and sending the instruction to the helmet warning module for execution, so that the overall control function is achieved; after receiving the instruction sent by the control module, the helmet warning module sends out early warning information to the rider in modes of voice, vision and the like; the power module is used for supplying electric energy to the intelligent helmet end 200 to ensure continuous and uninterrupted operation thereof.

In an embodiment of the present invention, the cloud 300 stores a map, a cloud computing platform, a communication module, and the like. The cloud computing platform can analyze and judge according to the positions of the vehicle and the rider in the map, and judges whether the vehicle and the rider accord with potential dangerous conditions under the current running condition. In order to accurately display the real-time position information of the running vehicle and the rider, in an embodiment of the present invention, the map is a high definition map, such as google map, high-resolution map, and the like. The communication module can send out communication signals to realize information intercommunication with the vehicle end 100 and the intelligent helmet end 200.

In one embodiment of the present invention, the potentially dangerous conditions are: the potentially dangerous scenario occurs within a preset collision time threshold. The preset collision moment threshold value is the time of collision between the vehicle and the rider, which is estimated by the cloud computing platform according to the collected information. In an embodiment of the present invention, the preset collision time threshold is 4 seconds. Of course, it is understood that the threshold of the preset collision time threshold may be adaptively changed by those skilled in the art according to the speed of the vehicle relative to the rider, and the like, and is not limited herein. In an embodiment of the present invention, the potentially dangerous scenario at least includes: the method comprises the following steps that a scene that riders under a straight lane cross a road and collide with vehicles, a scene that riders at road intersections collide with turning vehicles, a scene that riders under the straight lane collide with the vehicles in the same direction or opposite directions, and a scene that riders collide when the vehicles stop and open the doors. The potential dangerous scene is a condition that a rider collides with a vehicle, which is very easy to happen in a real traffic accident, through big data analysis. In these cases, the life health and safety of the rider may be seriously threatened due to the collision of the rider with the vehicle caused by the driver's lack of visibility, the fast traveling speed of the rider, etc.

Referring to fig. 1, fig. 2 and fig. 4, fig. 4 is a schematic flowchart illustrating the step S3 according to an embodiment of the present invention. In an embodiment of the present invention, S3 includes the following processes:

s31, based on the map stored in the cloud 300, when the pre-collision time is greater than the preset collision time threshold, the cloud computing platform of the cloud 300 determines whether the riding information and the vehicle driving information satisfy the preset potentially dangerous scene.

After the communication module of the cloud terminal 300 is communicated with the communication module of the vehicle end 100 and the communication module of the intelligent helmet end 200, the position information of the vehicle and the rider is uploaded to the server of the cloud terminal 300, and the cloud computing platform reads the real-time position information of the vehicle and the rider. When the pre-Collision Time (TTC, Time To Collision) is greater than a preset Collision Time threshold, the cloud computing platform analyzes whether the vehicle and the rider meet a preset potential danger condition.

And S32, if the driving information of the riders and the driving information of the vehicles meet a preset potential dangerous scene, the cloud 300 respectively sends a connection instruction to the vehicle end 100 and the intelligent helmet end 200, and the communication module of the vehicle end 100 is matched with the communication module of the intelligent helmet end 200.

When the pre-collision time is greater than a preset collision time threshold of the system, if the cloud computing platform analyzes and processes the position information of the riders and the vehicle, and then determines that the riders and the vehicle meet preset potential dangerous conditions, the communication module of the cloud end 300 sends a connection instruction to the communication module of the vehicle end 100 and the communication module of the intelligent helmet end 200 respectively. After receiving the instruction, the communication module of the vehicle end 100 and the communication module of the intelligent helmet end 200 search for and pair with each other.

And S33, when the pre-collision time is less than or equal to the preset collision time threshold value, if the driving information of the riders and the driving information of the vehicle still meet the preset potential dangerous scene, the cloud 300 sends early warning information to the vehicle end 100 and the intelligent helmet end 200 respectively.

When the pre-collision time is less than or equal to a collision time threshold value preset by the system, if the cloud computing platform determines that the running information of the vehicle and the riding personnel still accord with the potential danger condition at the time, the riding personnel and the vehicle are in collision danger. At this time, the communication module of the cloud 300 sends out the early warning information to the communication module of the car end 100 and the communication module of the intelligent helmet end 200, respectively, to prompt that the car is likely to collide with the rider at this time. Drivers and riders need to take necessary measures to minimize injury. Specifically, the warning module of the car end 100 and the warning module of the intelligent helmet end 200 can send out voice and visual warning information to prompt the driver and the riding personnel to pay attention to safety.

In an embodiment of the present invention, step S32 further includes displaying the position information of the rider in real time by the onboard warning module of the vehicle end 100 when the driving information of the rider and the driving information of the vehicle meet the preset dangerous condition. When the cloud computing platform determines that the riders and the vehicle meet preset potential danger conditions, the communication module of the vehicle end 100 and the communication module of the intelligent helmet end 200 are instructed to be interconnected. The intelligent helmet end 200 positioning module acquires real-time position information and speed information of riders, transmits the information to a vehicle-mounted computing platform of the vehicle end 100 through the intelligent helmet end 200 communication module, and displays real-time position distribution of the riders through a vehicle-mounted warning module of the vehicle end 100. The driver is warned to pay attention to the position of the two-wheel vehicle all the time, and danger is avoided to the maximum extent.

Referring to fig. 1, 3 and 4, in an embodiment of the present invention, after a rider collides with a vehicle, a vehicle-mounted sensing module at a vehicle end sends an airbag ignition instruction to an intelligent helmet end. Specifically, when the pre-collision time is zero, the vehicle-mounted sensing module transmits information to the vehicle-mounted computing platform of the vehicle end 100, analyzes data collected by the sensor, the camera and the like, and determines whether collision occurs by combining with early warning information transmitted by the cloud computing platform. If the vehicle collides with the rider, the vehicle-mounted computing platform of the vehicle end 100 automatically estimates a predicted falling time range of the rider according to the vehicle speed, the road condition and the like, and in an embodiment of the invention, the predicted falling time range of the rider is 15 to 20 seconds. Of course, those skilled in the art will adapt this rider intended fall time frame. In this time range, the vehicle-mounted computing platform sends an ignition instruction of the airbag 202 to the control module of the smart helmet 200 through the communication module of the vehicle end 100. The control module controls the airbag 202 to be opened, so that the airbag 202 just wraps the neck of the rider at the moment that the rider falls down to the ground, and the neck of the rider is prevented from being injured. In an embodiment of the present invention, if no collision occurs, the process returns to step S1 to continue collecting the information about the other riders and the vehicle, and to analyze the information about the riders and the vehicle again.

In an embodiment of the invention, the step S33 further includes, when the pre-collision time is less than or equal to the preset time interval, if the driving information of the rider and the driving information of the vehicle do not meet the preset potential dangerous scene, indicating that the danger of collision between the rider and the vehicle is relieved, returning to the step S1, continuing to collect the driving information of other riders and the vehicle, and analyzing the information of the rider and the vehicle again.

The steps of the above method are divided for clarity of description, and may be combined into one step or split into some steps, and the steps are decomposed into multiple steps, so long as the steps contain the same logical relationship, which is within the protection scope of the present invention; it is within the scope of the present invention to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.

Referring to fig. 5, fig. 5 is a schematic structural diagram illustrating a bidirectional warning system for a vehicle and a rider according to an embodiment of the present invention. The bidirectional warning system 10 for vehicles and riders comprises: a rider information acquisition unit 11, a vehicle information acquisition unit 12, an advance warning information transmission unit 13, and an advance warning behavior response unit 14. The information acquiring unit 11 is used for acquiring driving information of riders through an intelligent helmet end mounted on a helmet and transmitting the driving information of the riders to a cloud terminal; the vehicle information acquisition unit 12 is configured to acquire vehicle travel information through a vehicle end mounted on a vehicle and transmit the vehicle travel information to a cloud; the early warning information sending unit 13 is configured to judge that the cloud end sends early warning information to the intelligent helmet end and the vehicle end respectively if the driving information of the riders and the driving information of the vehicle meet preset potential danger conditions; the early warning behavior response unit 14 is used for making an early warning behavior according to the early warning information, and the vehicle end and the intelligent helmet end correspondingly.

Referring to fig. 6, fig. 6 is a block diagram illustrating an early warning information sending unit 13 according to an embodiment of the present invention. The system comprises a potential danger scene judging module 131, a connection instruction sending module 132 and an early warning information receiving module 133. The potentially dangerous scene determining module 131 is configured to determine, according to a map stored in a cloud end, whether the riding person running information and the vehicle running information meet a preset potentially dangerous scene or not by using a cloud computing platform at the cloud end when a pre-collision time is greater than a preset time interval; the connection instruction sending module 132 is configured to send a connection instruction to the vehicle end and the intelligent helmet end by the cloud end when the driving information of the rider and the driving information of the vehicle meet a preset potential dangerous scene, and the communication module of the vehicle end is paired with the communication module of the intelligent helmet end; the early warning information receiving module 133 is configured to send early warning information to the vehicle end and the intelligent helmet end respectively when the pre-collision time is less than or equal to a preset collision time threshold.

It should be noted that, in order to highlight the innovative part of the present invention, a module which is not so closely related to solve the technical problem proposed by the present invention is not introduced in the present embodiment, but this does not indicate that no other module exists in the present embodiment.

In addition, it is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the system described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again. In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a form of hardware or a form of a software functional unit.

The embodiment also provides a bidirectional early warning device for a vehicle and a rider, which comprises a processor and a memory, wherein the processor is coupled with the memory, the memory stores program instructions, and the program instructions stored in the memory realize the task management method when being executed by the processor. The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; or a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component; the Memory may include a Random Access Memory (RAM), and may also include a Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory. The Memory may be an internal Memory of Random Access Memory (RAM) type, and the processor and the Memory may be integrated into one or more independent circuits or hardware, such as: application Specific Integrated Circuit (ASIC). It should be noted that the computer program in the memory may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, an electronic device, or a network device) to perform all or part of the steps of the method according to the embodiments of the present invention.

The present embodiment also provides a computer-readable storage medium, which stores computer instructions for causing a computer to execute the above task management method. The storage medium may be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system or a propagation medium. The storage medium may also include a semiconductor or solid state memory, magnetic tape, a removable computer diskette, a Random Access Memory (RAM), a read-only memory (ROM), a rigid magnetic disk and an optical disk. Optical disks may include compact disk-read only memory (CD-ROM), compact disk-read/write (CD-RW), and DVD.

In summary, the position information of the riders and the vehicle is acquired in real time by the positioning modules at the vehicle end and the intelligent helmet end, and after the position information is analyzed and processed by the cloud, the information interconnection and the bidirectional early warning of the riders and the vehicle are realized when the potential danger conditions are met. Dangerous scenes are identified and screened out through a high-definition map at the cloud end and a cloud computing platform, and false triggering of an alarm caused by vehicle perception defects is avoided. The bidirectional early warning of the riders and the vehicles under the conditions that the riders in the straight lane cross the road and collide with the vehicles, the riders at the road intersection collide with turning vehicles, the riders in the straight lane and the vehicles collide in the same direction or opposite direction, the vehicles stop and open and the riders collide is solved. Furthermore, the neck can be protected by the helmet airbag in the event of a crash. The life health and safety of riding personnel and drivers are greatly guaranteed.

The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.