CN110807565A - Server, vehicle and parking risk identification method and device thereof - Google Patents
Server, vehicle and parking risk identification method and device thereof Download PDFInfo
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Abstract
The invention discloses a server, a vehicle and a method and a device for identifying parking risks of the vehicle, wherein the method for identifying the parking risks of the vehicle comprises the following steps: acquiring environmental information of the current environment of a target vehicle; and acquiring the parking risk level of the target vehicle according to the environmental information. Therefore, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the intelligent parking system has high intelligence and operation convenience.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to a vehicle parking risk identification method, a vehicle parking risk identification device, a vehicle and a server.
Background
At present, the violation phenomenon of the vehicle after the vehicle parks in the no-parking area is common, so that great loss is caused to the vehicle owner.
In the related art, a current position of a vehicle is located according to a Global Positioning System (GPS), and if the current position of the vehicle is located in a no-parking area, the vehicle sends an alarm message to remind a vehicle owner that the current position of the vehicle is located in the no-parking area. However, for more complicated road conditions, whether the current position of the vehicle is located in the parking prohibition area cannot be accurately judged through the scheme, and whether the vehicle is parked or not still needs to be judged according to manual experience, so that the situation that the vehicle owner parks the vehicle by mistake is easy to occur.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. Therefore, an object of the present invention is to provide a method for identifying a parking risk of a vehicle, which can accurately determine a parking risk level of a target vehicle in each area according to environmental information of a current environment of the target vehicle, so as to correspondingly control the target vehicle according to the parking risk level, thereby effectively avoiding a vehicle owner from parking by mistake, and having high intelligence and operation convenience.
A second object of the invention is to propose a device for identifying the risk of parking a vehicle.
A third object of the invention is to propose a vehicle.
A fourth object of the present invention is to provide a server.
A fifth object of the invention is to propose an electronic device.
A sixth object of the invention is to propose a non-transitory computer-readable storage medium.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a method for identifying a parking risk of a vehicle, including the following steps: acquiring environmental information of the current environment of a target vehicle; and acquiring the parking risk grade of the target vehicle according to the environmental information.
According to the vehicle parking risk identification method provided by the embodiment of the invention, the environmental information of the current environment of the target vehicle is obtained, and the parking risk grade of the target vehicle is obtained according to the environmental information. Therefore, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the intelligent parking system has high intelligence and operation convenience.
In addition, the method for identifying the parking risk of the vehicle according to the above embodiment of the present invention may further have the following additional technical features:
according to an embodiment of the present invention, the obtaining of the parking risk level of the target vehicle according to the environmental information includes: extracting location information of the target vehicle from the environmental information; and judging whether a parking forbidding area exists in a first preset range where the target vehicle is located or not according to the position information and a pre-stored electronic map, and if the parking forbidding area exists in the first preset range, identifying the parking risk level of the target vehicle as a first risk level.
According to one embodiment of the present invention, the method for identifying a parking risk of a vehicle further includes: if no parking forbidding area exists in the first preset range, extracting an environment image of the target vehicle from the environment information; and carrying out image recognition on the environment image, judging whether the environment image has a parking prohibition instruction or not, and if the environment image has the parking prohibition instruction, recognizing the parking risk level of the target vehicle as a second risk level.
According to one embodiment of the present invention, the method for identifying a parking risk of a vehicle further includes: if no parking prohibition instruction exists in the environment image, acquiring a target building in a second preset range where the target vehicle is located; acquiring a distance between the target vehicle and the target building; if the distance is smaller than a preset distance threshold value, acquiring the number of parked vehicles except the target vehicle in a third preset range where the target vehicle is located; and if the number of the parked vehicles is less than the preset number, identifying the parking risk level of the target vehicle as a third risk level.
According to an embodiment of the present invention, the determining whether a parking prohibition area exists within a first preset range in which the target vehicle is located according to the location information and a pre-stored electronic map includes: positioning on the electronic map according to the position information, and acquiring the marking information of each position area in the first preset range from the electronic map; and determining whether the position area is a parking prohibition position area or not according to the labeling information, wherein if the position area is the parking prohibition position area, the parking prohibition area exists in the first preset range.
According to one embodiment of the present invention, the method for identifying a parking risk of a vehicle further includes: when a parking prohibition instruction exists in the environment image, positioning to a target position of the parking prohibition instruction on the electronic map according to the position information of the target vehicle, extracting marking information of the parking prohibition instruction on the target position from the electronic map, acquiring a coverage area of the parking prohibition instruction according to the marking information, and taking the coverage area as a parking prohibition area; or continuously scanning the parking prohibition instruction through an image acquisition device on the target vehicle, extracting the coverage range of the parking prohibition instruction from all scanned images after the scanning of the parking prohibition instruction is finished, and taking the coverage range as a parking prohibition area.
According to an embodiment of the present invention, after obtaining the parking risk level of the target vehicle, the method further includes: acquiring a control strategy matched with the parking risk level, and controlling the target vehicle to execute the control strategy, wherein when the parking risk level of the target vehicle is the first risk level, the controlling the target vehicle to execute the control strategy comprises the following steps: acquiring state information of the target vehicle, and judging whether the target vehicle is in a fault state or not according to the state information; if the target vehicle is in a fault state, identifying a current fault type, and controlling the target vehicle to send out reminding information when the identified fault type is the target fault type; controlling an engine of the target vehicle to be in a stall-prohibited state if the target vehicle is in a non-fault state or the identified fault type is not the target fault type.
According to one embodiment of the present invention, the method for identifying a parking risk of a vehicle further includes: when two or more than two target buildings exist, the distance between the target vehicle and each target building is obtained, the distance corresponding to each target building is compared with a preset distance threshold value, and the target building with the distance smaller than the preset distance threshold value is selected.
In order to achieve the above object, a second aspect of the present invention provides an apparatus for identifying a parking risk of a vehicle, including: the first acquisition module is used for acquiring the environmental information of the current environment of the target vehicle; and the second acquisition module is used for acquiring the parking risk level of the target vehicle according to the environmental information.
According to the vehicle parking risk recognition device provided by the embodiment of the invention, the environmental information of the current environment of the target vehicle is acquired through the first acquisition module, and the parking risk grade of the target vehicle is acquired through the second acquisition module according to the environmental information. Therefore, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the intelligent parking system has high intelligence and operation convenience.
In order to achieve the above object, a vehicle according to a third embodiment of the present invention includes the vehicle parking risk recognition device according to the second embodiment of the present invention.
According to the vehicle disclosed by the embodiment of the invention, through the vehicle parking risk recognition device, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the vehicle parking risk recognition device has high intelligence and operation convenience.
To achieve the above object, a fourth aspect of the present invention provides a server, including: the first acquisition module is used for acquiring the environmental information of the current environment of the target vehicle; the second acquisition module is used for acquiring the parking risk level of the target vehicle according to the environmental information; the third acquisition module is used for acquiring a control strategy matched with the parking risk level; and the sending module is used for sending the control strategy to a target vehicle so as to enable the target vehicle to execute the control strategy.
According to the server provided by the embodiment of the invention, the environment information of the current environment of the target vehicle is obtained through the first obtaining module, the parking risk level of the target vehicle is obtained through the second obtaining module according to the environment information, the control strategy matched with the parking risk level is obtained through the third obtaining module, and the control strategy is sent to the target vehicle through the sending module, so that the target vehicle executes the control strategy. Therefore, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the intelligent parking system has high intelligence and operation convenience.
In order to achieve the above object, a fifth embodiment of the present invention provides an electronic device, including a memory and a processor, where the processor executes a program corresponding to an executable program code by reading the executable program code stored in the memory, so as to implement the method for identifying a parking risk of a vehicle according to the first embodiment of the present invention.
According to the electronic equipment provided by the embodiment of the invention, through the vehicle parking risk identification method, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the electronic equipment has higher intelligence and operation convenience.
To achieve the above object, a sixth aspect of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for identifying a parking risk of a vehicle according to the first aspect of the present invention.
According to the non-transitory computer readable storage medium of the embodiment of the invention, by executing the vehicle parking risk identification method, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the method has high intelligence and operation convenience.
Drawings
FIG. 1 is a flow chart of a method of identifying a risk of parking a vehicle according to an embodiment of the present invention;
2a-2c are flow diagrams of a method of identifying a risk of parking a vehicle according to one embodiment of the present invention;
FIG. 3 is a schematic view of a no stop sign according to one embodiment of the present invention;
FIG. 4 is a schematic view of a parking prohibition marking according to an embodiment of the present invention;
FIG. 5 is a schematic illustration of a parking lot sign according to one embodiment of the present invention;
FIG. 6 is a schematic view of a parking space marking according to an embodiment of the present invention;
FIG. 7 is a block schematic diagram of an apparatus for identifying a risk of parking a vehicle according to an embodiment of the present invention;
FIG. 8 is a block schematic diagram of an apparatus for identifying a risk of parking a vehicle according to one embodiment of the present invention;
fig. 9 is a block schematic diagram of a server according to an embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
A method of identifying a risk of parking a vehicle, an apparatus for identifying a risk of parking a vehicle, a server, an electronic device, and a non-transitory computer-readable storage medium according to embodiments of the present invention are described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method of identifying a risk of parking a vehicle according to an embodiment of the present invention. As shown in fig. 1, the method for identifying a parking risk of a vehicle according to an embodiment of the present invention may include the steps of:
and S1, acquiring the environmental information of the current environment of the target vehicle.
Specifically, the environment information of the environment where the target vehicle is located is obtained in real time through a vehicle-mounted positioning system, wherein the vehicle-mounted positioning system may include a GPS, a radar sensor, a vehicle-mounted camera, a vehicle-mounted T-BOX (Telematics BOX), and the like.
And S2, acquiring the parking risk level of the target vehicle according to the environmental information.
It can be understood that when the target vehicle is parked under different environmental conditions, the corresponding parking risks are different, and therefore, the parking risk level of the target vehicle can be obtained according to the environmental information. As a possible implementation, the parking risk level of the target vehicle may be divided into three parking risk levels, i.e. a first risk level, a second risk level and a third risk level. Wherein the second risk level is lower than the first risk level and the third risk level is lower than the second risk level.
Particularly, in the running process of the vehicle, the environmental information of the environment where the target vehicle is located is obtained in real time through the vehicle-mounted positioning system, and the parking risk level of the target vehicle is obtained according to the environmental information, therefore, the parking risk level of the target vehicle can be accurately judged according to the environmental information of the current environment where the target vehicle is located, so that the target vehicle is controlled to execute a corresponding strategy according to the parking risk level of the target vehicle, the mistaken parking of the vehicle owner can be effectively avoided, the safety of the target vehicle is ensured, meanwhile, the phenomenon that the vehicle owner is greatly lost can be avoided, and the intelligent parking system has high intelligence and operation convenience.
How to obtain the parking risk level of the target vehicle based on the environmental information is described in detail below with reference to fig. 2a to 2 c.
As shown in fig. 2a, an embodiment of the present invention provides a method for obtaining a parking risk level of a target vehicle according to environmental information to identify whether the parking risk level of the target vehicle is a first risk level, wherein the method may include the steps of:
s201, extracts the position information of the target vehicle from the environmental information.
As a possible implementation manner, the target vehicle acquires its own location information in real time through an on-board positioning system (such as a GPS), fuses the location information into environmental information of the current environment where the target vehicle is located, and periodically uploads the environmental information to a vehicle networking platform (TSP). The TSP, upon receiving the environmental information, may extract the location information of the target vehicle from the environmental information.
S202, judging whether a parking forbidding area exists in a first preset range where the target vehicle is located or not according to the position information and a pre-stored electronic map.
According to one embodiment of the invention, whether a parking prohibition area exists in a first preset range where the target vehicle is located is judged according to the position information and a prestored electronic map, the method comprises the steps of positioning on the electronic map according to the position information, obtaining marking information of each position area in the first preset range from the electronic map, determining whether the position area is the parking prohibition position area according to the marking information, and if the position area is the parking prohibition position area, determining that the parking prohibition area exists in the first preset range.
Specifically, after extracting the location information of the target vehicle from the environment information, the target vehicle is located on an electronic map (e.g., a high-precision map) pre-stored inside the TSP, and annotation information (e.g., image scene information, specific location identification information, etc.) for each location area within a first preset range (e.g., within 1000m of the target vehicle) is acquired from the electronic map. At this time, whether the location area is the parking-prohibited location area may be determined directly from the label information (e.g., image scene information, etc.) of each location area, or the label information (e.g., identification information of a specific place, etc.) of each location area may be analyzed in a machine-learning manner (e.g., TSP big data analysis) to determine whether the location area is the parking-prohibited location area.
For example, the target vehicle acquires its current position on the expressway through the GPS, and may periodically upload the position information to the TSP. And when the image scene information of the position area within the first preset range of the target vehicle is an expressway ramp image scene or a map mark (a ramp is a parking-prohibited position area), judging that the parking-prohibited area exists within the first preset range.
As another example, the target vehicle may acquire its current location on a street via GPS, and may periodically upload the location information to the TSP. The method comprises the steps of positioning a target vehicle on a high-precision map according to position information, acquiring specific location identification information (such as identification information of specific locations of military administration areas, government buildings, museums, schools and the like) of each position area in a first preset range of the target vehicle in real time from the high-precision map, and judging that the area near the specific location is a parking prohibition area when ground parking is not permitted near the specific location (such as the museums and the like) through TSP big data analysis, namely the parking prohibition area exists in the first preset range.
S203, if the parking forbidding area exists in the first preset range, the parking risk level of the target vehicle is identified as a first risk level.
If the first preset range exists in the no-parking area, once the target vehicle parks in the no-parking area, a large parking risk exists, for example, a traffic accident is easy to happen, or the owner of the vehicle is subjected to a serious violation penalty, so that the parking risk level of the target vehicle can be identified as the first risk level.
It should be noted that, in the above embodiment, the step of obtaining whether the parking risk level of the target vehicle is the first risk level according to the environmental information may be performed by the TSP, or may be performed by the target vehicle, that is, the target vehicle obtains the position information of the target vehicle in real time through the vehicle-mounted positioning system, and determines whether the parking prohibition area exists within the first preset range where the target vehicle is located through the electronic map, and when it is determined that the parking prohibition area exists within the first preset range, identifies that the parking risk level of the target vehicle is the first risk level.
Further, if there is no parking prohibited area within the first preset range, it is indicated that the parking risk level of the target vehicle is lower than the first risk level, and therefore, an embodiment of the present invention proposes another vehicle parking risk identification method to identify whether the parking risk level of the target vehicle is the second risk level, as shown in fig. 2b, the identification method may include the following steps:
s301, an environment image of the target vehicle is extracted from the environment information.
As a possible implementation manner, the target vehicle acquires the environment image information of the environment where the target vehicle is located in real time through the vehicle-mounted camera, fuses the environment image information into the environment information of the current environment where the target vehicle is located, and periodically uploads the environment information to the TSP. The TSP, upon receiving the environmental information, may extract an environmental image of the target vehicle from the environmental information.
S302, image recognition is carried out on the environment image, and whether the environment image has a parking prohibition instruction or not is judged.
The parking prohibition indication can comprise a parking prohibition signboard, a parking prohibition marking line and the like.
The environmental image can be identified through the characteristics of the extracted shape, outline, color, font and the like in the environmental image so as to judge whether the environmental image has a parking prohibition instruction; or the environmental image information can be input into a machine-learned model to perform image recognition on the environmental image so as to judge whether the environmental image has the parking prohibition instruction.
And if the extracted features of the shape, the outline, the color, the font and the like in the environment image are consistent with the features of the parking prohibition indication, or the environment image information is identified to be consistent with the image information of the parking prohibition indication through a machine learning model, judging that the parking prohibition indication exists in the environment image.
And S303, if the parking prohibition instruction exists in the environment image, identifying the parking risk level of the target vehicle as a second risk level.
According to one embodiment of the invention, when the parking prohibition instruction exists in the environment image, the target position of the parking prohibition instruction on the electronic map is located according to the position information of the target vehicle, the marking information of the parking prohibition instruction on the target position is extracted from the electronic map, the coverage range of the parking prohibition instruction is obtained according to the marking information, and the coverage range is used as a parking prohibition area; or continuously scanning the parking prohibition instruction through an image acquisition device on the target vehicle, extracting the coverage range of the parking prohibition instruction from all scanned images after the scanning of the parking prohibition instruction is finished, and taking the coverage range as a parking prohibition area.
That is, when it is determined that there is a parking prohibition indication in the environment image, the range defined by the parking prohibition indication may be acquired by an electronic map (e.g., a high-precision map), and may also be acquired by an image capture device (e.g., an onboard camera) on the target vehicle. And after the range limited by the parking prohibition instruction is acquired, taking the range limited by the parking prohibition instruction as a parking prohibition area, and acquiring the parking risk level of the target vehicle according to the parking prohibition area.
For example, when the environmental image has a no-parking signboard shown in fig. 3, the target position of the no-parking signboard on the high-precision map is acquired according to the position information of the target vehicle, and the annotation information of the no-parking signboard, such as "no-parking on the road segment a", is extracted from the high-precision map, so that the road segment a defined by the no-parking signboard, that is, the area corresponding to the road segment a, can be acquired as the no-parking area according to the annotation information. And judging whether the position information of the target vehicle is in the road section A, if so, judging that the target vehicle is in the parking forbidding area, and identifying that the parking risk level of the target vehicle is a second risk level.
For another example, when the parking prohibition marking shown in fig. 4 exists in the environment image, the parking prohibition marking is continuously scanned by the vehicle-mounted camera on the target vehicle, and after the scanning of the parking prohibition marking is completed, the coverage area of the parking prohibition marking can be extracted from all scanned images to obtain the area B defined by the parking prohibition marking, that is, the area B can be used as the parking prohibition area. And judging whether the position information of the target vehicle is in the area B, if so, judging that the target vehicle is in a parking forbidding area, and identifying that the parking risk level of the target vehicle is a second risk level.
It should be noted that, in addition to determining whether or not the environmental image has the parking prohibition instruction to identify whether or not the parking risk level of the target vehicle is the second risk level, it may also be determined whether or not the environmental image has the parking instruction (including the parking lot mark and the parking space marking line), and when it is determined that the environmental image has the parking instruction, it is identified whether or not the parking risk level of the target vehicle is the second risk level based on the parking instruction.
According to one embodiment of the invention, when the parking instruction exists in the environment image, the target position of the parking instruction on the electronic map is positioned according to the position information of the target vehicle, the marking information of the parking instruction on the target position is extracted from the electronic map, the coverage range of the parking prohibition instruction is obtained according to the marking information, and the area outside the coverage range can be used as the parking prohibition area within a certain range; or, the parking instruction is continuously scanned through the image acquisition device on the target vehicle, after the parking instruction scanning is finished, the coverage area of the parking instruction is extracted from all scanned images, and the area outside the coverage area can be used as a parking prohibition area within a certain range.
That is, when it is determined that there is a parking instruction in the environment image, the range defined by the parking instruction may be acquired through an electronic map (e.g., a high-precision map), or the range defined by the parking instruction may be acquired through an image capture device (e.g., an onboard camera) on the target vehicle, and the parking risk level of the target vehicle may be acquired according to the range defined by the parking instruction.
For example, when the environment image has a parking lot marker as shown in fig. 5, based on the position information of the target vehicle, the target position of the parking lot marker on the high-precision map is acquired, and the labeling information of the parking lot marker, such as "charged parking lot P", is extracted from the high-precision map, so that the area C defined by the parking lot marker can be acquired based on the labeling information, and the area outside the area C can be regarded as a parking-prohibited area within a certain range. And judging whether the position information of the target vehicle is outside the area C within a certain range, if so, judging that the target vehicle is in a parking forbidding area, and identifying that the parking risk level of the target vehicle is a second risk level.
For another example, when the parking space marking shown in fig. 6 exists in the environment image, the parking space marking is continuously scanned by the vehicle-mounted camera on the target vehicle, after the parking space marking is scanned, the coverage area of the parking space marking can be extracted from all scanned images to obtain the area D defined by the parking space marking, and in a certain range, the area outside the area D can be used as a parking prohibition area. And judging whether the position information of the target vehicle is outside the area C within a certain range, if so, judging that the target vehicle is in a parking forbidding area, and identifying that the parking risk level of the target vehicle is a second risk level.
Still further, if there is no parking prohibition indication in the environment image, it is indicated that the parking risk level of the target vehicle is lower than the second risk level, and therefore, an embodiment of the present invention proposes another vehicle parking risk identification method to identify whether the parking risk level of the target vehicle is the third risk level, as shown in fig. 2c, the identification method may include the following steps:
s401, acquiring a target building in a second preset range where the target vehicle is located.
The target building may include a building, an office building, a restaurant, and other specific buildings. And acquiring the identification information of the fixed building in a second preset range (for example, within 400m of the target vehicle square circle) of the target vehicle from the high-precision map according to the position information of the target vehicle, and inputting the identification information of the fixed building into the machine learning model to identify the fixed building, so as to screen out the target building. For example, a fixed building within 400m of the square circle of the target vehicle is acquired from a high-precision map as a residential building, an office building, and a restaurant, and only the office building and the restaurant are extracted as the target building by a set machine program.
S402, acquiring the distance between the target vehicle and the target building.
The distance between the target vehicle and the target building can be acquired through the vehicle-mounted radar.
And S403, if the distance is smaller than the preset distance threshold, acquiring the number of the parked vehicles except the target vehicle in a third preset range where the target vehicle is located.
The preset distance threshold may be a preset safe distance for the target vehicle to stop at the corresponding specific building, for example, the preset distance threshold may be 100 m.
It should be noted that, when there are two or more target buildings, the distance between the target vehicle and each target building is obtained, the distance corresponding to each target building is compared with the preset distance, and the target building with the distance smaller than the preset distance threshold is selected.
That is, in practical applications, there may be a plurality of target buildings around the target vehicle, and in this case, it is necessary to acquire the distance between the target vehicle and each target building through the vehicle-mounted radar and select a target building whose distance is smaller than a preset distance threshold.
When the distance between the target vehicle and the target building is less than a preset distance threshold, the target vehicle is considered to have a higher risk of parking. At this time, the number of parked vehicles except the target vehicle within the third preset range where the target vehicle is located can be obtained through the vehicle-mounted radar. For example, the number of other vehicles with the ground speed of 0 in the third preset range, which are detected by the vehicle-mounted radar, is 3, which indicates that the number of parked vehicles in the third preset range is 3. The third preset range may be a specific range centered on the target vehicle, for example, a circular area with a radius of 30m, or a square area with a side length of 30m, or a rectangular area with a length of a and a width of b selected according to the current road direction.
S404, if the number of the parked vehicles is less than the preset number, identifying the parking risk level of the target vehicle as a third risk level.
The preset number may be calibrated according to actual conditions, for example, the preset number may be 3. If the number of parked vehicles is smaller than the preset number, the fact that most people think that the third preset range belongs to the parking forbidding area is indicated, the risk of parking in the third preset range is high, and therefore the parking risk level of the target vehicle is identified as the third risk level; if the number of parked vehicles is greater than or equal to the preset number, the third preset range is considered to belong to the parking-allowed area by most people, and the risk of parking in the third preset range is low.
It should be noted that the method for identifying a parking risk of a vehicle according to the embodiment of the present invention is an execution strategy embedded in a vehicle, and when the driver drives the target vehicle, the driver may actively activate (for example, select through a button) to automatically identify the parking risk level of the target vehicle, or may not activate the strategy, and the driver determines the parking risk level of the target vehicle.
In addition, in the embodiment of the present invention, it is necessary to identify whether the parking risk level of the target vehicle is the third risk level after identifying whether the parking risk level of the target vehicle is the first risk level and identifying whether the parking risk level of the target vehicle is the second risk level, that is, when the parking risk level of the target vehicle is neither the first risk level nor the second risk level, identify whether the parking risk level of the target vehicle is the third risk level. That is, the parking areas of the first risk level and the parking areas of the second risk level are the most dominant sources of parking risk, while the parking areas of the third risk level are not taken as the basis for the determination of the primary parking risk.
After the parking risk level of the target vehicle is identified through the above method, a control strategy matching the parking risk level may be formulated according to the parking risk level of the target vehicle, but before the control target vehicle executes the control strategy, state information of the target vehicle is also required to judge the fault state and the parking state of the target vehicle according to the state information of the target vehicle, thereby more effectively controlling the target vehicle to execute corresponding actions.
According to one embodiment of the present invention, after obtaining the parking risk level of the target vehicle, the method further includes: acquiring a control strategy matched with the parking risk level, and controlling the target vehicle to execute the control strategy, wherein when the parking risk level of the target vehicle is a first risk level, the controlling the target vehicle to execute the control strategy comprises the following steps: acquiring state information of a target vehicle, judging whether the target vehicle is in a fault state or not according to the state information, identifying a current fault type if the target vehicle is in the fault state, and controlling the target vehicle to send out reminding information if the identified fault type is the target fault type; and controlling the engine of the target vehicle to be in a flameout prohibition state if the target vehicle is in a non-fault state or the identified fault type is not the target fault type.
Specifically, after determining a parking area having a first risk level within a first preset range of the target vehicle, the on-board T-BOX may upload state information of the target vehicle, for example, wheel speed of the target vehicle, historical DTC fault code, etc., to the TSP. After acquiring the state information of the target vehicle, the TSP may determine whether the target vehicle is in a fault state according to the state information, and if the target vehicle is in the fault state, determine whether the current fault type is the target fault type, for example, determine whether the fault code is a first type fault code according to a historical DTC fault code, where the first type fault code indicates that the target vehicle may need to be stopped when a wheel speed sensor fault, an ESC/ABS fault, an abnormal fuel consumption, an abnormal battery temperature rise, and the like occur.
If the fault type of the target vehicle is the target fault type, the TSP issues a command to control the target vehicle to execute a first action, preferably, the first action is to issue a reminding message to remind a vehicle owner, for example, to specially mark a no-parking area on a high-definition map displayed by a sound host of the target vehicle; or voice broadcast is adopted; alternatively, the no-parking area is displayed on the windshield of the target vehicle by projection.
If the target vehicle is in a non-fault state or the fault type of the target vehicle is a non-target fault type, the TSP issues a command to control the target vehicle to execute a second action, preferably, the second action is to control an engine of the target vehicle to be in a stall prohibition state, that is, when the target vehicle is located in the parking area with the first risk level, the engine of the target vehicle may be controlled to be in the stall prohibition state, so as to ensure that the target vehicle can timely drive away from the parking area with the first risk level, ensure the safety of the vehicle, avoid causing loss to the owner of the vehicle, and at the same time, control the target vehicle to send a reminding message to remind the owner of the vehicle.
Further, after determining the parking area around the target vehicle with the second risk level or the parking area with the third risk level, that is, after determining that the parking risk level of the target vehicle is the second risk level or the third risk level, before controlling the target vehicle to execute the corresponding control strategy, state information of the target vehicle needs to be acquired, so as to determine whether the target vehicle is in the stopped state according to the state information.
As one possible implementation, whether the target vehicle is in a stopped state may be determined according to the current vehicle speed of the target vehicle. When the CAN bus does not receive an engine signal flameout signal, but the current speed of the target vehicle is detected to be 0 through a wheel speed sensor (whether the current speed of the target vehicle is smaller than or equal to a minimum speed threshold value or not is judged, if yes, the current speed of the target vehicle is considered to be 0), and the duration time exceeds a first preset time, the target vehicle is judged to be in a stop state.
As another possible implementation, whether the target vehicle is in a stopped state may be determined according to an operation state of an electronic handbrake system or an automatic parking system of the target vehicle. And when the CAN bus does not receive the engine signal flameout signal, but the electronic hand brake system or the automatic parking system of the target vehicle is in a starting state, judging that the target vehicle is in a stopping state.
As still another possible implementation manner, whether the target vehicle is in the stop state may be determined according to whether the CAN bus receives an engine signal stall signal. And if the CAN bus receives an engine signal flameout signal, judging that the target vehicle is in a stop state.
When the target vehicle is judged to be in a stop state, controlling the target vehicle to execute a corresponding action, preferably controlling the target vehicle to send out reminding information to remind a vehicle owner, for example, specially marking a parking prohibition area on a high-definition map displayed by a sound host of the target vehicle; or voice broadcast is adopted; alternatively, the no-parking area is displayed on the windshield of the target vehicle by projection.
When the target vehicle is judged to be in the running state, the engine of the target vehicle is controlled to be in the flameout prohibition state, so that the target vehicle can be ensured to timely drive away from the parking prohibition area, and the vehicle owner can be effectively prevented from parking by mistake.
Therefore, the parking risk of the target vehicle can be judged according to the environmental information, the parking risk judgment is carried out in advance for the road condition unfamiliar to the driver, the driver is reminded, and the parking system has higher intelligence and operation convenience.
In summary, according to the method for identifying the vehicle parking risk in the embodiment of the present invention, the environmental information of the current environment of the target vehicle is obtained, and the parking risk level of the target vehicle is obtained according to the environmental information. Therefore, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the intelligent parking system has high intelligence and operation convenience.
Fig. 7 is a block diagram schematically illustrating an apparatus for recognizing a parking risk of a vehicle according to an embodiment of the present invention. As shown in fig. 7, the apparatus for identifying a parking risk of a vehicle according to an embodiment of the present invention may include a first obtaining module 100 and a second obtaining module 200.
The first obtaining module 100 is configured to obtain environmental information of an environment where a target vehicle is currently located; the second obtaining module 200 is configured to obtain a parking risk level of the target vehicle according to the environmental information.
According to an embodiment of the present invention, the second obtaining module 200 obtains the parking risk level of the target vehicle according to the environment information, wherein the second obtaining module 200 extracts the position information of the target vehicle from the environment information, and determines whether a parking prohibition area exists in a first preset range where the target vehicle is located according to the position information and a pre-stored electronic map, and when the parking prohibition area exists in the first preset range, identifies the parking risk level of the target vehicle as the first risk level.
According to an embodiment of the present invention, the second obtaining module 200 is further configured to, when no parking prohibition area exists in the first preset range, extract an environment image of the target vehicle from the environment information, perform image recognition on the environment image, determine whether the environment image has a parking prohibition instruction, and recognize the parking risk level of the target vehicle as the second risk level when the environment image has the parking prohibition instruction.
According to an embodiment of the present invention, the second obtaining module 200 is further configured to, when there is no parking prohibition indication in the environment image, obtain a target building within a second preset range in which the target vehicle is located, obtain a distance between the target vehicle and the target building, obtain, when the distance is smaller than a preset distance threshold, a number of parked vehicles within a third preset range in which the target vehicle is located, except for the target vehicle, and identify, when the number of parked vehicles is smaller than the preset number, that the parking risk level of the target vehicle is a third risk level.
According to an embodiment of the present invention, the second obtaining module 200 is further configured to, when there are two or more target buildings, obtain a distance between the target vehicle and each target building, compare the distance corresponding to each target building with a preset distance, and select a target building whose distance is less than a preset distance threshold.
According to an embodiment of the present invention, the second obtaining module 200 determines whether a parking prohibition area exists in a first preset range in which the target vehicle is located according to the position information and a pre-stored electronic map, wherein the second obtaining unit performs positioning on the electronic map according to the position information, obtains labeling information of each position area in the first preset range from the electronic map, determines whether the position area is a parking prohibition position area according to the labeling information, and determines that the parking prohibition area exists in the first preset range when the position area is the parking prohibition position area.
According to an embodiment of the present invention, the second obtaining module 200 is further configured to, when there is a parking prohibition instruction in the environment image, locate a target position of the parking prohibition instruction on the electronic map according to the position information of the target vehicle, extract the label information of the parking prohibition instruction at the target position from the electronic map, obtain a coverage area of the parking prohibition instruction according to the label information, and use the coverage area as a parking prohibition area; or continuously scanning the parking prohibition instruction through an image acquisition device on the target vehicle, extracting the coverage range of the parking prohibition instruction from all scanned images after the scanning of the parking prohibition instruction is finished, and taking the coverage range as a parking prohibition area.
According to an embodiment of the present invention, as shown in fig. 8, the apparatus for recognizing a parking risk of a vehicle may further include a control module 300, wherein, the control module 300 is used for obtaining a control strategy matched with the parking risk level, controlling the target vehicle to execute the control strategy, wherein the control module 300 controls the target vehicle to execute the control strategy when the parking risk level of the target vehicle is the first risk level, wherein, the control module 300 acquires the state information of the target vehicle, judges whether the target vehicle is in a fault state according to the state information, identifies the current fault type when the target vehicle is in the fault state, and controlling the target vehicle to send out reminding information when the identified fault type is the target fault type, and controlling the engine of the target vehicle to be in a flameout prohibition state when the target vehicle is in a non-fault state or the identified fault type is not the target fault type.
It should be noted that, for details not disclosed in the device for identifying a vehicle parking risk according to the embodiment of the present invention, please refer to details disclosed in the method for identifying a vehicle parking risk according to the embodiment of the present invention, and detailed descriptions thereof are omitted here.
According to the vehicle parking risk recognition device provided by the embodiment of the invention, the environmental information of the current environment of the target vehicle is acquired through the first acquisition module, and the parking risk grade of the target vehicle is acquired through the second acquisition module according to the environmental information. Therefore, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the intelligent parking system has high intelligence and operation convenience.
In addition, the embodiment of the invention also provides a vehicle, which comprises the vehicle parking risk identification device.
According to the vehicle disclosed by the embodiment of the invention, through the vehicle parking risk recognition device, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the vehicle parking risk recognition device has high intelligence and operation convenience.
Fig. 9 is a block schematic diagram of a server according to an embodiment of the invention. As shown in fig. 9, the server according to an embodiment of the present invention may include a first obtaining module 100, a second obtaining module 200, a third obtaining module 400, and a sending module 500.
The first obtaining module 100 is configured to obtain environmental information of an environment where a target vehicle is currently located; the second obtaining module 200 is configured to obtain a parking risk level of the target vehicle according to the environmental information; the third obtaining module 400 is configured to obtain a control strategy matched with the parking risk level; the transmitting module 500 is configured to transmit the control strategy to the target vehicle to cause the target vehicle to execute the control strategy.
It should be noted that, for details not disclosed in the server according to the embodiment of the present invention, please refer to details disclosed in the method for identifying a parking risk of a vehicle according to the embodiment of the present invention, and detailed descriptions thereof are omitted here.
According to the server provided by the embodiment of the invention, the environment information of the current environment of the target vehicle is obtained through the first obtaining module, the parking risk level of the target vehicle is obtained through the second obtaining module according to the environment information, the control strategy matched with the parking risk level is obtained through the third obtaining module, and the control strategy is sent to the target vehicle through the sending module, so that the target vehicle executes the control strategy. Therefore, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, and the target vehicle is correspondingly controlled according to the parking risk level, so that the error parking of the vehicle owner can be effectively avoided, and the intelligent parking system has high intelligence and operation convenience.
In addition, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor; the processor reads the executable program codes stored in the memory to run programs corresponding to the executable program codes, so as to realize the vehicle parking risk identification method.
According to the electronic device provided by the embodiment of the invention, by executing the vehicle parking risk identification method, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the electronic device has higher intelligence and operation convenience.
Furthermore, an embodiment of the present invention also proposes a non-transitory computer-readable storage medium on which a computer program is stored, which when executed by a processor implements the above-mentioned method for identifying a risk of parking a vehicle.
According to the non-transitory computer readable storage medium of the embodiment of the invention, by executing the vehicle parking risk identification method, the parking risk level of the target vehicle in each area can be accurately judged according to the environmental information of the current environment of the target vehicle, so that the target vehicle can be correspondingly controlled according to the parking risk level, the vehicle owner can be effectively prevented from parking by mistake, and the method has high intelligence and operation convenience.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In addition, in the description of the present invention, the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A method for identifying a risk of parking a vehicle, comprising the steps of:
acquiring environmental information of the current environment of a target vehicle;
and acquiring the parking risk grade of the target vehicle according to the environmental information.
2. The method for recognizing parking risk of vehicle according to claim 1, wherein the obtaining the parking risk level of the target vehicle according to the environmental information includes:
extracting location information of the target vehicle from the environmental information;
and judging whether a parking forbidding area exists in a first preset range where the target vehicle is located or not according to the position information and a pre-stored electronic map, and if the parking forbidding area exists in the first preset range, identifying the parking risk level of the target vehicle as a first risk level.
3. The vehicle parking risk identification method according to claim 2, further comprising:
if no parking forbidding area exists in the first preset range, extracting an environment image of the target vehicle from the environment information;
and carrying out image recognition on the environment image, judging whether the environment image has a parking prohibition instruction or not, and if the environment image has the parking prohibition instruction, recognizing the parking risk level of the target vehicle as a second risk level.
4. The vehicle parking risk identification method according to claim 3, further comprising:
if no parking prohibition instruction exists in the environment image, acquiring a target building in a second preset range where the target vehicle is located;
acquiring a distance between the target vehicle and the target building;
if the distance is smaller than a preset distance threshold value, acquiring the number of parked vehicles except the target vehicle in a third preset range where the target vehicle is located;
and if the number of the parked vehicles is less than the preset number, identifying the parking risk level of the target vehicle as a third risk level.
5. The method for identifying the parking risk of the vehicle according to claim 2, wherein the step of judging whether the parking prohibition area exists in a first preset range where the target vehicle is located according to the position information and a pre-stored electronic map comprises the following steps:
positioning on the electronic map according to the position information, and acquiring the marking information of each position area in the first preset range from the electronic map;
and determining whether the position area is a parking prohibition position area or not according to the labeling information, wherein if the position area is the parking prohibition position area, the parking prohibition area exists in the first preset range.
6. The vehicle parking risk identification method according to claim 3, further comprising:
when a parking prohibition instruction exists in the environment image, positioning to a target position of the parking prohibition instruction on the electronic map according to the position information of the target vehicle, extracting marking information of the parking prohibition instruction on the target position from the electronic map, acquiring a coverage area of the parking prohibition instruction according to the marking information, and taking the coverage area as a parking prohibition area; or,
and continuously scanning the parking prohibition instruction through an image acquisition device on the target vehicle, extracting the coverage range of the parking prohibition instruction from all scanned images after the scanning of the parking prohibition instruction is finished, and taking the coverage range as a parking prohibition area.
7. The method for identifying a parking risk of a vehicle according to claim 2, wherein after obtaining the parking risk level of the target vehicle, the method further comprises:
acquiring a control strategy matched with the parking risk level, and controlling the target vehicle to execute the control strategy,
wherein, when the parking risk level of the target vehicle is the first risk level, the controlling the target vehicle to execute the control strategy includes:
acquiring state information of the target vehicle, and judging whether the target vehicle is in a fault state or not according to the state information;
if the target vehicle is in a fault state, identifying a current fault type,
when the identified fault type is a target fault type, controlling the target vehicle to send out reminding information;
controlling an engine of the target vehicle to be in a stall-prohibited state if the target vehicle is in a non-fault state or the identified fault type is not the target fault type.
8. An apparatus for identifying a risk of parking a vehicle, comprising:
the first acquisition module is used for acquiring the environmental information of the current environment of the target vehicle;
and the second acquisition module is used for acquiring the parking risk level of the target vehicle according to the environmental information.
9. A vehicle, characterized by comprising: the vehicle parking risk identification device of claim 8.
10. A server, comprising:
the first acquisition module is used for acquiring the environmental information of the current environment of the target vehicle;
the second acquisition module is used for acquiring the parking risk level of the target vehicle according to the environmental information;
the third acquisition module is used for acquiring a control strategy matched with the parking risk level;
and the sending module is used for sending the control strategy to a target vehicle so as to enable the target vehicle to execute the control strategy.
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| CN201810886045.1A CN110807565A (en) | 2018-08-06 | 2018-08-06 | Server, vehicle and parking risk identification method and device thereof |
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Application publication date: 20200218 |