CN111277956A - Method and device for collecting vehicle blind area information - Google Patents
Method and device for collecting vehicle blind area information Download PDFInfo
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- CN111277956A CN111277956A CN201811484100.0A CN201811484100A CN111277956A CN 111277956 A CN111277956 A CN 111277956A CN 201811484100 A CN201811484100 A CN 201811484100A CN 111277956 A CN111277956 A CN 111277956A
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- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
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- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
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Abstract
The invention relates to the technical field of intelligent driving, in particular to a method and a device for collecting vehicle blind area information, wherein the method comprises the steps of acquiring real-time position information of all vehicles in a preset area; acquiring real-time position information of a vehicle detected by a target vehicle; comparing the detected real-time position information of the vehicle with the real-time position information of all vehicles to obtain the real-time position information of blind area vehicles which are within a preset range of the distance from the target vehicle and are not contained in the detected vehicle; and sending the real-time position information of the blind area vehicle to the target vehicle. According to the method, the real-time position information of all vehicles is compared with the real-time position information of the vehicle detected by the target vehicle, so that the real-time position information of the blind area vehicle relative to the target vehicle can be obtained, the target vehicle can obtain the real-time position information of all vehicles within a preset range, and the safety of intelligent driving of the target vehicle is improved.
Description
Technical Field
The invention relates to the technical field of intelligent driving, in particular to a method and a device for collecting vehicle blind area information.
Background
The intelligent driving essentially relates to cognitive engineering of attention attraction and distraction, and mainly comprises three links of network navigation, autonomous driving and manual intervention. The intelligent driving network navigation solves the problems of where the user is, where the user goes, which lane of which road the user walks and the like; the autonomous driving is to complete driving behaviors such as lane keeping, overtaking and merging, red light stopping and green light running, light language, whistling, interaction and the like under the control of an intelligent system; the manual intervention means that the driver reacts to the actual road condition under a series of prompts of the intelligent system.
The intelligent driving method has the precondition that the relevant visual and auditory signals and information are obtained by using a sensor on the vehicle, and the corresponding follow-up system is controlled through cognitive calculation. The conventional AI automatic driving technology generally performs image analysis by hardware devices such as radar, a camera, infrared sensing and the like, namely, the related visual and auditory signals and information are realized by depending on the hardware devices of the vehicle.
However, the above-mentioned hardware devices of the vehicle can only let the vehicle see the condition of the vehicle and the pedestrian in the sight, and the condition outside the sight is difficult to perceive, which will cause the vehicle in driving to have many vision blind areas, and the accident and hidden trouble will hide in these vision and perception blind areas, and then will affect the safety of intelligent driving.
Disclosure of Invention
In view of this, the embodiment of the invention provides a method and a device for collecting vehicle blind area information, so as to solve the problem of low safety of intelligent driving of a vehicle.
According to a first aspect, an embodiment of the present invention provides a method for collecting vehicle blind area information, including:
acquiring real-time position information of all vehicles in a preset area;
acquiring real-time position information of a vehicle detected by a target vehicle; wherein the target vehicle is located within the preset area;
comparing the detected real-time position information of the vehicles with the real-time position information of all the vehicles to obtain the real-time position information of blind area vehicles which are within a preset range of the distance from the target vehicle and are not contained in the vehicles detected by the target vehicle;
and sending the real-time position information of the blind area vehicle to the target vehicle.
According to the method for acquiring the vehicle blind area information, provided by the embodiment of the invention, the real-time position information of all vehicles in the preset area is compared with the real-time position information of the vehicle detected by the target vehicle, so that the real-time position information of the blind area vehicle relative to the target vehicle can be obtained, the target vehicle can obtain the real-time position information of all vehicles (including the detected vehicle and the blind area vehicle) in the preset range, and the safety of intelligent driving of the target vehicle is improved.
With reference to the first aspect, in a first implementation manner of the first aspect, comparing the real-time location information of the detected vehicle with the real-time location information of all vehicles includes:
extracting real-time position information which is away from the target vehicle within the preset range from the real-time position information of all vehicles;
and comparing the extracted real-time position information with the detected real-time position information of the vehicle to obtain the real-time position information of the blind area vehicle.
According to the vehicle blind area information acquisition method provided by the embodiment of the invention, because the influence of the vehicle with the distance to the target vehicle within the preset range on the target vehicle is small, the comparison range is limited within the preset range, and the vehicle blind area information acquisition efficiency is improved on the premise that the target vehicle can acquire the real-time position information of the blind area vehicle.
With reference to the first aspect, in a first embodiment of the first aspect, before the step of sending the real-time location information of the blind area vehicle to the target vehicle, the method further includes:
acquiring the speed of the vehicle in the blind area; and sending the real-time position information of the blind area vehicle to the target vehicle, wherein the sending of the real-time position information of the blind area vehicle comprises sending the speed of the blind area vehicle to the target vehicle.
According to the vehicle blind area information acquisition method provided by the embodiment of the invention, the speed of the vehicle in the blind area is sent to the target vehicle, so that the target vehicle can adjust the intelligent driving strategy in time based on the real-time position information and the speed of all vehicles in the preset range, and the safety of intelligent driving is improved.
With reference to the first aspect, the first embodiment of the first aspect, or the second embodiment of the first aspect, in a third embodiment of the first aspect, the sending the real-time location information of the blind area vehicle to the target vehicle includes:
acquiring a communication mode determined by the target vehicle;
and sending the real-time position information of the blind area vehicle to the target vehicle based on the communication mode.
According to the vehicle blind area information acquisition method provided by the embodiment of the invention, the target vehicle can receive the real-time position information of the blind area vehicle under the condition of good communication quality by switching the communication mode with the target vehicle, so that the accuracy of the real-time position information of the blind area vehicle received by the target vehicle is improved.
With reference to the third implementation manner of the first aspect, in a fourth implementation manner of the first aspect, the communication mode includes: 4G, 5G, Zigbee, or Lora.
According to the vehicle blind area information acquisition method provided by the embodiment of the invention, the information (including real-time position information and vehicle speed) of the blind area vehicle is provided for the target vehicle by using 4G, 5G or other communication modes, so that a medium of high-speed network service is provided, and the real-time performance of blind area vehicle information transmission is improved.
According to a second aspect, an embodiment of the present invention further provides a method for collecting vehicle blind area information, including:
sending the detected real-time position information of the vehicle to the electronic equipment;
receiving real-time position information of the blind area vehicle fed back by the electronic equipment based on the detected real-time position information of the vehicle; the blind area vehicle is within a preset range and is not contained in the detected vehicle, and the real-time position information of the blind area vehicle is obtained by comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles in a preset area through the electronic equipment.
According to the method for collecting the vehicle blind area information, the detected real-time position information of the vehicle is sent to the electronic equipment, so that the electronic equipment can compare the real-time position information of all vehicles of the target vehicle with the real-time position information of the vehicle detected by the target vehicle to obtain the real-time position information of the vehicle in the blind area relative to the target vehicle, the target vehicle can obtain the real-time position information of all vehicles (including the detected vehicle and the vehicle in the blind area) in a preset range, and the safety of intelligent driving of the target vehicle is improved.
With reference to the second aspect, in a first embodiment of the second aspect, the step of sending the detected real-time location information of the vehicle to the electronic device further includes:
the signal quality of each communication mode is compared to determine the communication mode with which the electronic device is communicating.
According to the vehicle blind area information acquisition method provided by the embodiment of the invention, the communication modes between the target vehicle and the electronic equipment are determined by comparing the signal quality of each communication mode, so that the target vehicle can receive the real-time position information of the blind area vehicle under the condition of good communication quality, and the accuracy of the real-time position information of the blind area vehicle received by the target vehicle is improved.
According to a third aspect, an embodiment of the present invention further provides a device for acquiring vehicle blind area information, including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring real-time position information of all vehicles in a preset area of a target vehicle;
the second acquisition module is used for acquiring the real-time position information of the vehicle detected by the target vehicle; wherein the target vehicle is located within the preset area;
the comparison module is used for comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles to obtain the real-time position information of blind area vehicles which are within a preset range of the distance from the target vehicle and are not contained in the detected vehicle;
and the first sending module is used for sending the real-time position information of the blind area vehicle to the target vehicle.
The vehicle blind area information acquisition device provided by the embodiment of the invention can obtain the real-time position information of the blind area vehicle relative to the target vehicle by comparing the real-time position information of all vehicles with the real-time position information of the vehicle detected by the target vehicle, so that the target vehicle can obtain the real-time position information of all vehicles (including the detected vehicle and the blind area vehicle) in a preset range, and the safety of intelligent driving of the target vehicle is improved.
According to a fourth aspect, an embodiment of the present invention further provides a device for acquiring vehicle blind area information, including:
the second sending module is used for sending the detected real-time position information of the vehicle to the electronic equipment;
the receiving module is used for receiving the real-time position information of the blind area vehicle fed back by the electronic equipment based on the real-time position information of the detected vehicle; the blind area vehicle is within a preset range and is not contained in the detected vehicle, and the real-time position information of the blind area vehicle is obtained by comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles in a preset area through the electronic equipment.
According to the vehicle blind area information acquisition device provided by the embodiment of the invention, the real-time position information of the detected vehicle is sent to the electronic equipment, so that the electronic equipment can compare the real-time position information of all vehicles of the target vehicle with the real-time position information of the vehicle detected by the target vehicle to obtain the real-time position information of the blind area vehicle relative to the target vehicle, the target vehicle can obtain the real-time position information of all vehicles (including the detected vehicle and the blind area vehicle) in a preset range, and the safety of intelligent driving of the target vehicle is improved.
According to a fifth aspect, an embodiment of the present invention further provides an electronic device, including:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, and the processor executing the computer instructions to perform the method for collecting vehicle blind area information according to the first aspect of the present invention or any embodiment of the first aspect of the present invention, or to perform the method for collecting vehicle blind area information according to the second aspect of the present invention or any embodiment of the second aspect of the present invention.
According to a sixth aspect, the present invention further provides a computer-readable storage medium, which stores computer instructions for causing a computer to execute the method for collecting vehicle blind area information according to the first aspect of the present invention or any embodiment of the first aspect, or the method for collecting vehicle blind area information according to the second aspect of the present invention or any embodiment of the second aspect.
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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 shows a schematic diagram of an application scenario of an embodiment of the present invention;
FIG. 2 is a flow chart of a method of collecting vehicle blind zone information according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method of collecting vehicle blind zone information according to an embodiment of the present invention;
FIG. 4 is a flow chart of a method of collecting vehicle blind zone information according to an embodiment of the present invention;
FIG. 5 is a flow chart of a method of collecting vehicle blind zone information according to an embodiment of the present invention;
FIG. 6 is a flow chart of a method of collecting vehicle blind zone information according to an embodiment of the present invention;
fig. 7 is a block diagram of a configuration of a vehicle blind area information collecting apparatus according to an embodiment of the present invention;
fig. 8 is a block diagram of a configuration of a vehicle blind area information collecting apparatus according to an embodiment of the present invention;
fig. 9 is a block diagram of a structure of an internet of things device for a vehicle according to an embodiment of the present invention;
fig. 10 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic diagram of an application scenario of an embodiment of the present invention. A plurality of vehicles and pedestrians are driven on the road, the vehicle a in fig. 1 is marked as a target vehicle, and the vehicles on the road in the preset area are marked as all vehicles (including the vehicle a). In fig. 1, only the vehicle in front of the vehicle a is shown, and all vehicles also include the vehicle behind the vehicle a, and the vehicle in front of the vehicle a is only taken as an example and described in detail below.
Referring to fig. 1, for the target vehicle a, the vehicles that can be detected by the vehicle a are the vehicles B1, B2, and B3, and the vehicles that cannot be detected by the vehicle a are collectively labeled as blind-zone vehicles, i.e., vehicles C. For example, for a car, it can detect B3 car, but not C1 car; but the C1 car may be perceived by the server. Therefore, for the target vehicle a, information of blind zone vehicles may be collected by the detected vehicles B1, B2, and the like.
The application provides a vehicle blind area information collection method, namely, each vehicle running on a road sends vehicle information (such as real-time position information, speed and the like) capable of being detected to a server, the server models all vehicles on the road, and screens the vehicle information sent to the target vehicle aiming at the target vehicle, namely, the information of the vehicle in the blind area relative to the target vehicle is sent to the target vehicle. Therefore, by this method, information of the blind zone vehicle of the detection blind zone of the target vehicle can be collected by the target vehicle.
Further, the terms mentioned hereinafter are explained as follows:
V2V: vehicle-a vehicle;
V2I: a vehicle-infrastructure;
V2P: vehicle-pedestrian;
V2X: all-inclusive vehicles;
networking of vehicles: means for obtaining the running speed, braking and lane changing states of other vehicles and pedestrians;
4G/5G: a medium that provides high-speed network services.
In accordance with an embodiment of the present invention, there is provided an embodiment of a method for collecting vehicle blind spot information, wherein the steps shown in the flowchart of the drawings may be executed on a computer system, such as a set of computer executable instructions, and wherein although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different than that shown.
In this embodiment, a method for collecting vehicle blind area information is provided, which can be used in the above-mentioned electronic device, such as a server, etc., fig. 2 is a flowchart of a method for collecting vehicle blind area information according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
and S11, acquiring the real-time position information of all vehicles in the preset area.
The preset area is a certain road range, vehicles running on the road send the acquired real-time position information of the vehicles to electronic equipment (for example, a server and the like) based on the internet of vehicles, and the electronic equipment can acquire the real-time position information of all the vehicles on the road. For example, a vehicle on a road may collect real-time location information of the vehicle through a vehicular radar device or a GPS and transmit the collected real-time location information to an electronic device.
The electronic device models all vehicles on the road, i.e. for the electronic device the vehicles on the road are model by model. The electronic device acquires real-time position information of the vehicle on the road, that is, it can acquire real-time position information of each model.
Referring to fig. 1, the target vehicle is vehicle a, and the electronic device can obtain real-time position information of all vehicles (including the vehicle detected by vehicle a and the vehicle in the visual blind spot of vehicle a).
And S12, acquiring the real-time position information of the vehicle detected by the target vehicle.
Wherein the target vehicle is located within a preset area. The electronic equipment acquires real-time position information of all vehicles and also acquires real-time position information of the vehicle detected by the target vehicle.
Referring to fig. 1 again, the vehicles detected by the target vehicle a are the vehicles B1, B2, and B3. Then, the vehicle A sends the real-time position information of the detected vehicle to the electronic device, and the electronic device can acquire which vehicles can be detected by the vehicle A of the target vehicle.
And S13, comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles to obtain the real-time position information of the blind area vehicle which has the distance to the target vehicle within the preset range and is not included in the detected vehicle.
After the electronic equipment acquires the real-time position information of all vehicles of the target vehicle and the real-time position information of the vehicle detected by the target vehicle, which vehicles are the vehicles in the visual dead angle relative to the vehicle A, namely blind area vehicles can be obtained through comparison and analysis.
For example, the electronic device models vehicles on a road, and corresponds each model to its real-time position information, the electronic device may delete vehicles that can be detected by the target vehicle a from all the acquired vehicles, and then screen out vehicles that are within a preset range of distance from the vehicle a from the remaining vehicles, where the screened vehicles are blind area vehicles relative to the vehicle a; or, the electronic device may also screen all vehicles whose distance from the vehicle a is within a preset range from all vehicles, and then delete the vehicle detected by the vehicle a from the screened vehicles, where the remaining vehicles are blind area vehicles relative to the vehicle a.
After the electronic device screens out the blind area vehicle relative to the vehicle A, the electronic device can extract the real-time position information of the blind area vehicle for being sent to the vehicle A in the subsequent process because the vehicle model in the electronic device corresponds to the real-time position information.
And S14, sending the real-time position information of the blind area vehicle to the target vehicle.
The electronic equipment sends the obtained real-time position information of the blind area vehicles to the target vehicle, and the subsequent target vehicles can acquire the real-time position information of all vehicles which are away from the target vehicle within a preset range, so that reliable conditions are provided for intelligent driving.
According to the method for acquiring the vehicle blind area information, the real-time position information of the vehicle relative to the target vehicle can be obtained by comparing the real-time position information of all the vehicles with the real-time position information of the vehicle detected by the target vehicle, so that the target vehicle can obtain the real-time position information of all the vehicles (including the detected vehicles and the blind area vehicles) in the preset range, and the safety of intelligent driving of the target vehicle is improved.
In this embodiment, a vehicle blind area information collecting method is further provided, which can be used in the above-mentioned electronic device, such as a server, etc., fig. 3 is a flowchart of a vehicle blind area information collecting method according to an embodiment of the present invention, and as shown in fig. 3, the flowchart includes the following steps:
and S21, acquiring the real-time position information of all vehicles of the target vehicle. Please refer to S11 in fig. 2 for details, which are not described herein.
And S22, acquiring the real-time position information of the vehicle detected by the target vehicle.
Wherein the target vehicle is located within a preset area. Please refer to S12 in fig. 2 for details, which are not described herein.
And S23, comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles to obtain the real-time position information of the blind area vehicle which has the distance to the target vehicle within the preset range and is not included in the detected vehicle.
Specifically, the electronic device may obtain the real-time position information of the blind area vehicle by adopting the following steps:
and S231, extracting the real-time position information which is away from the target vehicle by a preset range from the real-time position information of all vehicles.
The electronic equipment can obtain the distance between all vehicles and the target vehicle by utilizing the real-time position information of all vehicles and the real-time position information of the target vehicle, so that the electronic equipment can screen out the vehicles away from the target vehicle within a preset range from all vehicles, and further can extract the real-time position information of the vehicles away from the target vehicle within the preset range. For example, the preset range is 100m, the electronic device screens all vehicles 100m away from the target vehicle from all vehicles.
And S232, comparing the extracted real-time position information with the detected real-time position information of the vehicle to obtain the real-time position information of the vehicle in the blind area.
After extracting the real-time position information of all vehicles which are away from the target vehicle within a preset range, the electronic equipment compares the real-time position information with the real-time position information of the vehicle detected by the target vehicle to obtain the real-time position information of the vehicle which is not detected by the target vehicle, namely the real-time position information of the blind area vehicle.
And S24, sending the real-time position information of the blind area vehicle to the target vehicle. Please refer to S14 in fig. 1, which is not described herein again.
Compared with the embodiment shown in fig. 2, in the vehicle blind area information collection method provided by the embodiment, because the influence of the vehicle, which is away from the target vehicle within the preset range, on the target vehicle is small, the comparison range is limited within the preset range, and the collection efficiency of the vehicle blind area information is improved on the premise that the target vehicle can collect the real-time position information of the blind area vehicle.
In this embodiment, a vehicle blind area information collecting method is further provided, which can be used in the above-mentioned electronic device, such as a server, etc., fig. 4 is a flowchart of a vehicle blind area information collecting method according to an embodiment of the present invention, and as shown in fig. 4, the flowchart includes the following steps:
and S31, acquiring the real-time position information of all vehicles in the preset area. Please refer to S21 in fig. 3 for details, which are not described herein.
And S32, acquiring the real-time position information of the vehicle detected by the target vehicle.
Wherein the target vehicle is located within a preset area. Please refer to S22 in fig. 3 for details, which are not described herein.
And S33, comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles to obtain the real-time position information of the blind area vehicle which has the distance to the target vehicle within the preset range and is not included in the detected vehicle. Please refer to S23 in fig. 3 for details, which are not described herein.
And S34, acquiring the speed of the vehicle with the blind area.
All vehicles send the real-time position information to the electronic equipment, and simultaneously send the vehicle speed to the electronic equipment. Because each vehicle model corresponds to the real-time position information and the vehicle speed, the electronic equipment can extract the vehicle speed of the blind area vehicle after screening out the blind area vehicle relative to the target vehicle.
The vehicle speed may be acquired by the vehicle using a radar device or a GPS device for the vehicle, or may be acquired by other methods, and the vehicle speed acquisition method is not limited herein.
And S35, sending the real-time position information of the blind area vehicle to the target vehicle.
When the electronic device sends the information related to the blind area vehicle to the target vehicle, it needs to acquire the current communication mode with the target vehicle to ensure good communication quality. Specifically, the method comprises the following steps:
s351, a communication mode determined by the target vehicle is acquired.
The electronic equipment acquires a communication mode determined by the target vehicle at the moment, wherein the communication mode comprises at least one of 4G, 5G, Zigbee or Lora. The 4G/5G can be used for large-flow road data interaction through electronic equipment; zigbee or Lora may be used for transmission of critical control and warning data.
Optionally, the information transmission policy is as follows:
(1) the running vehicle is provided with a 4G/5G, Lora module, and under the condition of better 4G/5G signals, large-flow road data interaction is carried out through electronic equipment; the Zigbee (near end communication)/Lora (far end communication) module is only responsible for transmitting key control and warning data of V2X, including control and warning data of roadside facilities such as a vehicle-mounted camera, a radar, and an electronic device.
(2) When the 4G signal is not good, the 4G is disabled, all key information interaction is performed by using a Zigbee (near-end communication)/Lora (far-end communication) module, and due to a bandwidth factor, key control and warning data are mainly used.
(3) When the 5G signal is not good, the 5G can not use a base station to directly connect the V2V terminal, so that the vehicles can still directly communicate large-flow road data; all key information interaction is carried out by means of a Zigbee (near-end communication)/Lora (far-end communication) module, and due to the bandwidth factor, key control and warning data are mainly used.
And S352, based on the communication mode, sending the real-time position information of the blind area vehicle to the target vehicle.
The electronic device sends the real-time location information of the blind area vehicle to the target vehicle based on the communication mode determined by the target vehicle.
Compared with the embodiment shown in fig. 3, in the embodiment, the speed of the blind area vehicle is sent to the target vehicle, so that the target vehicle can adjust the intelligent driving strategy in time based on the real-time position information and the speed of all vehicles in the preset range, and the safety of intelligent driving is improved; in addition, the communication mode between the target vehicle and the target vehicle is switched, so that the target vehicle can receive the real-time position information of the blind area vehicle under the condition of good communication quality, and the accuracy of the real-time position information of the blind area vehicle received by the target vehicle is improved.
Furthermore, the method adopts the combination of the V2X Internet of vehicles and the automatic driving technology, and simultaneously uses the 4/5G network technology and the Internet of vehicles technology to sense the visual blind area of automatic driving, and the vehicles exchange road conditions with each other, so that the road conditions are comprehensively sensed in an all-round and dead-angle-free manner, the blind area is eliminated to the maximum extent, and the traffic accident risk is avoided in advance.
As an optional implementation manner of this embodiment, the vehicle not only collects real-time position information, vehicle speed, but also collects real-time position information of pedestrians; and the collected pedestrian information is sent to the electronic equipment, so that the information sent to the target vehicle by the electronic equipment also comprises blind area pedestrians besides the blind area vehicles. For example, please refer to fig. 1, a pedestrian in a blind area of the vehicle a may be collected by the vehicle C, then transmitted to the electronic device through the 4/5G + V2X internet of vehicles channel, and sent to the vehicle a by the electronic device, and then perceived by the vehicle a.
In this embodiment, a method for collecting vehicle blind area information is further provided, which can be used in the above-mentioned electronic device, such as a vehicle, etc., fig. 5 is a flowchart of the method for collecting vehicle blind area information according to the embodiment of the present invention, and as shown in fig. 5, the flowchart includes the following steps:
and S41, transmitting the detected real-time position information of the vehicle to the electronic equipment.
The vehicle running on the road sends the acquired real-time position information of the vehicle to the electronic equipment (for example, a server and the like) based on the internet of vehicles, and the electronic equipment can acquire the real-time position information of all vehicles on the road. Similar to S11 in the embodiment shown in fig. 2, no further description is provided here.
And S42, receiving the real-time position information of the blind area vehicle fed back by the electronic equipment based on the detected real-time position information of the vehicle.
The blind area vehicle is a vehicle which is within a preset range and is not contained in the detected vehicle, and the real-time position information of the blind area vehicle is obtained by comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles in a preset area through electronic equipment. Referring to fig. 1, for the target vehicle a, the target vehicle a may acquire real-time location information of the blind area vehicle C through the electronic device. For a specific processing procedure of the electronic device, please refer to the embodiment shown in fig. 2, which is not described herein again.
According to the method for collecting the vehicle blind area information, the detected real-time position information of the vehicle is sent to the electronic device, so that the electronic device compares the real-time position information of all the vehicles with the real-time position information of the vehicle detected by the target vehicle to obtain the real-time position information of the vehicle in the blind area relative to the target vehicle, the target vehicle can obtain the real-time position information of all the vehicles (including the detected vehicle and the vehicle in the blind area) in the preset range, and the safety of intelligent driving of the target vehicle is improved.
In this embodiment, a method for collecting vehicle blind area information is further provided, which can be used in the above-mentioned electronic device, such as a vehicle, etc., fig. 6 is a flowchart of the method for collecting vehicle blind area information according to the embodiment of the present invention, and as shown in fig. 6, the flowchart includes the following steps:
and S51, comparing the signal quality of each communication mode to determine the communication mode for communicating with the electronic equipment.
The vehicle determines a communication mode with the electronic device from a plurality of communication modes by evaluating the information quality of the current communication mode. Wherein the communication mode includes at least one of 4G, 5G, Zigbee, or Lora.
Optionally, please refer to S351 in the embodiment shown in fig. 4 for the information transmission policy, which is not described herein again.
And S52, transmitting the detected real-time position information of the vehicle to the electronic equipment.
After determining the communication mode with the electronic device, the vehicle sends the real-time position information of the vehicle detected by the vehicle to the electronic device in the determined communication mode.
And S53, receiving the real-time position information of the blind area vehicle fed back by the electronic equipment based on the detected real-time position information of the vehicle.
The blind area vehicle is in a preset range and is not contained in the detected vehicle, and the real-time position information of the blind area vehicle is obtained by comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles in a preset area through electronic equipment. Please refer to S42 in fig. 5, which is not repeated herein.
Compared with the embodiment shown in fig. 5, the embodiment determines the communication mode with the electronic device by comparing the signal quality of each communication mode, so as to ensure that the target vehicle can receive the real-time position information of the blind area vehicle under the condition of good communication quality, and improve the accuracy of the real-time position information of the blind area vehicle received by the target vehicle.
In this embodiment, a device for collecting vehicle blind area information is further provided, and the device is used to implement the above embodiments and preferred embodiments, which have already been described and will not be described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
The embodiment provides a vehicle blind area information acquisition device, which can be applied to a server, as shown in fig. 7, and includes:
the first obtaining module 61 is configured to obtain real-time position information of all vehicles in a preset area.
A second obtaining module 62, configured to obtain real-time position information of a vehicle detected by a target vehicle; wherein the target vehicle is located within the preset area.
And the comparison module 63 is configured to compare the real-time position information of the detected vehicle with the real-time position information of all the vehicles to obtain the real-time position information of the vehicle in the blind area, which is within a preset range from the target vehicle and is not included in the detected vehicle.
And the first sending module 64 is used for sending the real-time position information of the blind area vehicle to the target vehicle.
The device for acquiring the vehicle blind area information provided by the embodiment compares the real-time position information of all the vehicles with the real-time position information of the vehicle detected by the target vehicle, so that the real-time position information of the blind area vehicle relative to the target vehicle can be obtained, the target vehicle can obtain the real-time position information of all the vehicles (including the detected vehicles and the blind area vehicles) in a preset range, and the safety of intelligent driving of the target vehicle is improved.
The embodiment further provides a device for collecting vehicle blind area information, which can be applied to a vehicle, as shown in fig. 8, and includes:
a second sending module 71, configured to send the detected real-time location information of the vehicle to the electronic device;
a receiving module 72, configured to receive real-time location information of a blind area vehicle fed back by the electronic device based on the real-time location information of the detected vehicle; the blind area vehicle is within a preset range and is not contained in the detected vehicle, and the real-time position information of the blind area vehicle is obtained by comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles in a preset area through the electronic equipment.
The vehicle blind area information acquisition device provided by the embodiment sends the detected real-time position information of the vehicle to the electronic equipment, so that the electronic equipment compares the real-time position information of all vehicles of the target vehicle with the real-time position information of the vehicle detected by the target vehicle to obtain the real-time position information of the blind area vehicle relative to the target vehicle, the target vehicle can obtain the real-time position information of all vehicles (including the detected vehicle and the blind area vehicle) in a preset range, and the intelligent driving safety of the target vehicle is improved.
As an optional implementation manner of this embodiment, as shown in fig. 9, a vehicle internet of things device may be disposed in the vehicle, and is used for data transmission or processing. The system comprises a central processing unit, a peripheral circuit system (comprising a storage unit), a camera, a recording device, infrared induction, a GPS, liquid crystal large screen display, a 4G/5G module and a vehicle radar device, wherein the camera, the recording device, the infrared induction, the GPS, the liquid crystal large screen display, the 4G/5G module and the vehicle radar device are connected with the central processing unit.
The camera and the recording equipment are used for acquiring audio and video data in the vehicle; the infrared induction is used for detecting whether a life body exists in the vehicle; the GPS is used for positioning the vehicle; the vehicle radar device is used for vehicle positioning, vehicle speed detection and the like; the 4G/5G module is used for information transmission; the central processing unit is used for integrating and processing the data of each module connected with the central processing unit and then sending the data to the electronic equipment.
Optionally, each module in the internet of things device for the vehicle may be specifically set according to an actual situation, which is not limited herein.
The vehicle blind spot information collection device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and a memory executing one or more software or fixed programs, and/or other devices that can provide the above-described functions.
Further functional descriptions of the modules are the same as those of the corresponding embodiments, and are not repeated herein.
The embodiment of the invention also provides electronic equipment which is provided with the vehicle blind area information acquisition device shown in the figure 7 or the figure 8.
Referring to fig. 10, fig. 10 is a schematic structural diagram of an electronic device according to an alternative embodiment of the present invention, as shown in fig. 10, the electronic device may include: at least one processor 81, such as a CPU (Central Processing Unit), at least one communication interface 83, memory 84, and at least one communication bus 82. Wherein a communication bus 82 is used to enable the connection communication between these components. The communication interface 83 may include a Display (Display) and a Keyboard (Keyboard), and the optional communication interface 83 may also include a standard wired interface and a standard wireless interface. The Memory 84 may be a high-speed RAM Memory (volatile Random Access Memory) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 84 may optionally be at least one memory device located remotely from the processor 81. Wherein the processor 81 may be in connection with the apparatus described in fig. 7 or fig. 8, an application program is stored in the memory 84, and the processor 81 calls the program code stored in the memory 84 for performing any of the above-mentioned method steps.
The communication bus 82 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 82 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 10, but this is not intended to represent only one bus or type of bus.
The memory 84 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard-drive, abbreviated: HDD) or a solid-state drive (english: SSD); the memory 84 may also comprise a combination of the above types of memory.
The processor 81 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of CPU and NP.
The processor 81 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The aforementioned PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
Optionally, the memory 84 is also used to store program instructions. The processor 81 may call program instructions to implement the vehicle blind area information collection method as shown in the embodiments of fig. 2 to 4, or fig. 5 and 6 of the present application.
The embodiment of the invention also provides a non-transitory computer storage medium, wherein the computer storage medium stores computer executable instructions which can execute the acquisition method of the vehicle blind area information in any method embodiment. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A method for collecting information of a vehicle blind area is characterized by comprising the following steps:
acquiring real-time position information of all vehicles in a preset area;
acquiring real-time position information of a vehicle detected by a target vehicle; wherein the target vehicle is located within the preset area;
comparing the detected real-time position information of the vehicles with the real-time position information of all the vehicles to obtain the real-time position information of blind area vehicles which are within a preset range of the distance from the target vehicle and are not contained in the vehicles detected by the target vehicle;
and sending the real-time position information of the blind area vehicle to the target vehicle.
2. The method of claim 1, wherein comparing the real-time location information of the detected vehicle with the real-time location information of all vehicles comprises:
extracting real-time position information which is away from the target vehicle within the preset range from the real-time position information of all vehicles;
and comparing the extracted real-time position information with the detected real-time position information of the vehicle to obtain the real-time position information of the blind area vehicle.
3. The method of claim 1, wherein the step of transmitting the real-time location information of the blind spot vehicle to the target vehicle is preceded by:
acquiring the speed of the vehicle in the blind area; and sending the real-time position information of the blind area vehicle to the target vehicle, wherein the sending of the real-time position information of the blind area vehicle comprises sending the speed of the blind area vehicle to the target vehicle.
4. The method according to any one of claims 1-3, wherein the sending real-time location information of the blind spot vehicle to the target vehicle comprises:
acquiring a communication mode determined by the target vehicle;
and sending the real-time position information of the blind area vehicle to the target vehicle based on the communication mode.
5. The method of claim 4, wherein the communication mode comprises: 4G, 5G, Zigbee, or Lora.
6. A method for collecting information of a vehicle blind area is characterized by comprising the following steps:
sending the detected real-time position information of the vehicle to the electronic equipment;
receiving real-time position information of the blind area vehicle fed back by the electronic equipment based on the detected real-time position information of the vehicle; the blind area vehicle is within a preset range and is not contained in the detected vehicle, and the real-time position information of the blind area vehicle is obtained by comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles in a preset area through the electronic equipment.
7. The method of claim 6, wherein the step of transmitting the detected real-time location information of the vehicle to the electronic device is preceded by the step of:
the signal quality of each communication mode is compared to determine the communication mode with which the electronic device is communicating.
8. The utility model provides a collection system of vehicle blind area information which characterized in that includes:
the first acquisition module is used for acquiring real-time position information of all vehicles in a preset area;
the second acquisition module is used for acquiring the real-time position information of the vehicle detected by the target vehicle; wherein the target vehicle is located within the preset area;
the comparison module is used for comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles to obtain the real-time position information of blind area vehicles which are within a preset range of the distance from the target vehicle and are not contained in the vehicle detected by the target vehicle;
and the first sending module is used for sending the real-time position information of the blind area vehicle to the target vehicle.
9. The utility model provides a collection system of vehicle blind area information which characterized in that includes:
the second sending module is used for sending the detected real-time position information of the vehicle to the electronic equipment;
the receiving module is used for receiving the real-time position information of the blind area vehicle fed back by the electronic equipment based on the real-time position information of the detected vehicle; the blind area vehicle is within a preset range and is not contained in the detected vehicle, and the real-time position information of the blind area vehicle is obtained by comparing the real-time position information of the detected vehicle with the real-time position information of all vehicles in a preset area through the electronic equipment.
10. An electronic device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of collecting vehicle blind area information according to any one of claims 1 to 5, or the method of collecting vehicle blind area information according to claim 6 or 7.
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| CN201811484100.0A CN111277956A (en) | 2018-12-05 | 2018-12-05 | Method and device for collecting vehicle blind area information |
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| CN201811484100.0A CN111277956A (en) | 2018-12-05 | 2018-12-05 | Method and device for collecting vehicle blind area information |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112822635A (en) * | 2020-12-29 | 2021-05-18 | 清华大学 | Method, device and equipment for determining communication mode of emergency resource vehicle |
| CN113470432A (en) * | 2021-06-28 | 2021-10-01 | 重庆长安汽车股份有限公司 | Vehicle inner wheel difference region danger early warning method and system based on V2V and vehicle |
| CN114655207A (en) * | 2022-05-13 | 2022-06-24 | 中汽创智科技有限公司 | Data processing method, device, equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140266651A1 (en) * | 2013-03-15 | 2014-09-18 | Adil Ansari | System and method for blindzone object detection |
| CN106408981A (en) * | 2016-10-21 | 2017-02-15 | 江苏大学 | Unmanned vehicle information optimization system and method based on vehicle information sharing |
| CN106696967A (en) * | 2016-12-02 | 2017-05-24 | 浙江吉利控股集团有限公司 | Safe driving auxiliary method and system |
| CN108010383A (en) * | 2017-09-29 | 2018-05-08 | 北京车和家信息技术有限公司 | Blind zone detection method, device, terminal and vehicle based on driving vehicle |
-
2018
- 2018-12-05 CN CN201811484100.0A patent/CN111277956A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140266651A1 (en) * | 2013-03-15 | 2014-09-18 | Adil Ansari | System and method for blindzone object detection |
| CN106408981A (en) * | 2016-10-21 | 2017-02-15 | 江苏大学 | Unmanned vehicle information optimization system and method based on vehicle information sharing |
| CN106696967A (en) * | 2016-12-02 | 2017-05-24 | 浙江吉利控股集团有限公司 | Safe driving auxiliary method and system |
| CN108010383A (en) * | 2017-09-29 | 2018-05-08 | 北京车和家信息技术有限公司 | Blind zone detection method, device, terminal and vehicle based on driving vehicle |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112822635A (en) * | 2020-12-29 | 2021-05-18 | 清华大学 | Method, device and equipment for determining communication mode of emergency resource vehicle |
| CN112822635B (en) * | 2020-12-29 | 2021-11-23 | 清华大学 | Method, device and equipment for determining communication mode of emergency resource vehicle |
| CN113470432A (en) * | 2021-06-28 | 2021-10-01 | 重庆长安汽车股份有限公司 | Vehicle inner wheel difference region danger early warning method and system based on V2V and vehicle |
| CN114655207A (en) * | 2022-05-13 | 2022-06-24 | 中汽创智科技有限公司 | Data processing method, device, equipment and storage medium |
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