CN117334064A - Method and system for automatically searching for people in parking lot vehicle - Google Patents
Method and system for automatically searching for people in parking lot vehicle Download PDFInfo
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- CN117334064A CN117334064A CN202311210066.9A CN202311210066A CN117334064A CN 117334064 A CN117334064 A CN 117334064A CN 202311210066 A CN202311210066 A CN 202311210066A CN 117334064 A CN117334064 A CN 117334064A
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 230000003044 adaptive effect Effects 0.000 claims abstract description 9
- 238000005516 engineering process Methods 0.000 claims abstract description 9
- 230000008859 change Effects 0.000 claims abstract description 7
- 238000012544 monitoring process Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 description 4
- 238000001514 detection method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
- G08G1/096725—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information generates an automatic action on the vehicle control
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
- G08G1/096811—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard
- G08G1/096816—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard where the complete route is transmitted to the vehicle at once
Abstract
The application provides a method and a system for automatically searching for a vehicle in a parking lot. The method comprises the following steps: pre-establishing an adaptive parking lot database, wherein information in a parking lot is stored in the adaptive parking lot database; acquiring an owner image and corresponding position information thereof, identifying the owner information through an image identification technology, and acquiring the owner gps position information in real time through an owner mobile phone APP; judging the driving intention of the vehicle, judging the driving intention of the vehicle owner by comparing the change of the gps position information of the vehicle owner, acquiring all idle parking spaces in the parking lot by a parking space road network model module, planning the shortest path which can reach the nearest idle parking space by combining the real-time gps information reported by the vehicle, and issuing the shortest path to a driving control module, so that the automatic planning of the route is realized, the vehicle is controlled to automatically move to a designated position along the planned route, and the vehicle is automatically driven to go to the position of the vehicle owner when the vehicle owner enters the parking lot, thereby bringing comfortable and intelligent driving experience for the vehicle owner.
Description
Technical Field
The invention relates to the technical field of automatic vehicle searching, in particular to a method and a system for automatically searching vehicles in a parking lot.
Background
When parking in a parking lot, car owners often encounter the problem of difficult car searching. Problems in the prior art: at present, the method for searching the car in the parking lot mainly comprises active car searching and mainly comprises two methods. 1. When parking, after the user mobile phone app passes identity identification WIFI authentication, acquiring and recording the position coordinates of the vehicle parking, and setting the identity identification to correspond to the position coordinates of the vehicle parking; after the WIFI authentication is re-performed by the mobile phone app of the user, the current position coordinate of the user is obtained by utilizing the positioning recording module, and the current position coordinate is compared with the position coordinate of the vehicle parking recorded by the system to obtain navigation information, so that the user is guided to the vehicle parking position, and the vehicle parking position is conveniently and rapidly found. 2. And a navigation system is arranged in the parking lot, and the area and the position of the vehicle are displayed through a sign or a screen. The car owner can find own car according to navigation guidance, and when the car cannot enter the parking lot, the car is automatically driven to go to the car owner position, and comfortable and intelligent driving experience cannot be brought to the car owner
Therefore, the present application provides a method and a system for automatically searching for a person in a vehicle in a parking lot, so as to solve one of the above technical problems.
Disclosure of Invention
The present application is directed to a method and a system for automatically searching for a person in a vehicle in a parking lot, which can solve at least one technical problem mentioned above. The specific scheme is as follows:
according to a first aspect of a specific embodiment of the present application, the present application provides a method for automatically searching for a person of a vehicle in a parking lot, the method comprising:
pre-establishing an adaptive parking lot database, wherein information in a parking lot is stored in the adaptive parking lot database;
acquiring an owner image and corresponding position information thereof, identifying the owner information through an image identification technology, and acquiring the owner gps position information in real time through an owner mobile phone APP;
judging the driving intention of the vehicle, judging the driving intention of the vehicle owner by comparing the change of the gps position information of the vehicle owner, and giving out a corresponding path route plan according to a judging result;
and controlling the vehicle to move according to the path route planning, combining the gps information and the vehicle surrounding information reported by the vehicle in real time, controlling the vehicle to move to a designated position through the path route planning, and informing the vehicle owner of the position and state information of the vehicle.
Preferably, the information of the parking lot comprises parking space parking information, vehicle gps information, parking space occupation information, parking space quantity information, vehicle owner information and parking space road network information.
Preferably, the parking space road network information is information of parking spaces and road network nodes in the parking lot obtained in real time through the parking lot cloud service.
Preferably, the car owner image is a photo shot by a parking lot gate camera acquired in real time through a parking lot cloud service.
Preferably, the method for judging the driving intention of the vehicle owner is as follows:
monitoring the arrival of a vehicle owner: if the image identifies the car owner, judging that the car owner has arrived at the parking lot;
acquiring the gps position information of a vehicle owner: acquiring the gps position information of a vehicle owner in real time through a user mobile phone APP;
deciding whether to move the vehicle: by comparing the gps position information of the vehicle owner, when the vehicle owner position movement within 1 minute is found to be less than 2 meters, judging that the vehicle owner enters a waiting state, deciding that the vehicle needs to be moved, issuing a vehicle moving instruction and the vehicle owner position information to the vehicle, and moving the vehicle according to the path route planning;
deciding whether to stop or not: and comparing the gps position information of the vehicle owner, judging that the vehicle owner leaves the parking lot when the vehicle owner moves out of the parking lot from the parking lot, deciding that the vehicle needs to be parked and issuing a parking instruction to the vehicle if the vehicle is moving at the moment, and moving the vehicle according to the path planning.
Preferably, after receiving the issued command for moving the vehicle, the vehicle passes through the road network information in the parking lot, and plans the shortest travel path by combining the vehicle owner position information and issues the shortest travel path to the driving control system.
Preferably, after receiving the parking instruction, the vehicle plans the shortest path which can reach the nearest idle parking space by combining all idle parking space information in the parking lot and real-time gps information reported by the vehicle, and transmits the shortest path to the driving control system.
Preferably, after the vehicle receives the driving path, the vehicle control system issues vehicle control instructions to the vehicle control module in combination with gps information reported by the vehicle in real time, wherein the vehicle control instructions comprise vehicle starting, advancing, retreating, left turning and rear turning, the vehicle control system can acquire the distance from surrounding obstacles through the vehicle-mounted radar in real time when controlling the vehicle to travel, and the vehicle body is adjusted in real time, so that the situation that the distance between the vehicle body and the surrounding obstacles is smaller than the safe distance is avoided.
Preferably, the vehicle surrounding information is a distance between the vehicle body and surrounding obstacles by a radar mounted around the vehicle body.
According to a second aspect of the specific embodiment of the present application, the present application provides a system for automatically searching for a person in a vehicle in a parking lot, including:
parking space road network model module: the method is used for acquiring the parking space and road network node information in the parking lot in real time through the parking lot cloud service, segmenting and modeling the parking space and the road network node information, and constructing a high-precision road network data three-dimensional model, so that a real scene can be truly reflected, and the occupation situation of the parking space can be acquired in real time;
an image recognition module: the method comprises the steps of acquiring photos shot by a parking lot gate camera in real time through a parking lot cloud service, and identifying a vehicle owner through an image identification technology;
the vehicle control module: the system is used for receiving the instruction of the decision module and controlling the running of the automobile;
and a position reporting module: reporting the gps information of the vehicle to a remote server in real time through a tbox, and positioning the position of the vehicle;
a decision module; the method is used for judging the driving intention of the vehicle according to the change of the gps position information of the vehicle owner;
and a path planning module: the parking space road network model module is used for acquiring all idle parking spaces in a parking lot, planning corresponding paths by combining real-time gps information reported by vehicles and issuing the corresponding paths to the driving control module;
and the driving control module is used for: the system is used for issuing a vehicle control instruction to a vehicle control module after receiving a driving path and combining gps information reported by a vehicle in real time;
and a notification module: the mobile phone app is used for sending a message to the user mobile phone app to inform the vehicle owner of the vehicle position information and the vehicle state.
Compared with the prior art, the scheme provided by the embodiment of the application has at least the following beneficial effects:
acquiring the gps position information of a vehicle owner in real time through a user mobile phone APP; deciding whether to move the vehicle: by comparing the gps position information of the vehicle owner, when the vehicle owner position movement within 1 minute is found to be less than 2 meters, judging that the vehicle owner enters a waiting state, deciding that the vehicle needs to be moved, and sending a vehicle moving instruction and the vehicle owner position information to a path planning module; deciding whether to stop or not: by comparing the gps position information of the vehicle owner, when the position of the vehicle owner is found to be shifted out of the parking area from the parking area, the vehicle owner is judged to leave the parking area, if the vehicle is moving at the moment, the vehicle is decided to need to park and a parking instruction is issued to the path planning module, so that the vehicle owner requirement can only be judged, and the parking and the moving are more convenient and intelligent;
through setting up the route planning module, after receiving the demand of sending and moving the car instruction, obtain the road network information in the parking area through parking stall road network model module, and combine car owner's position information planning shortest route of traveling and send to the driving control module and receive the demand of stopping after, obtain all idle parking places in the parking area through parking stall road network model module, and combine the real-time gps information planning that the vehicle reported can reach the shortest route of nearest idle parking place, and send to driving control module, thereby realize the automatic planning of route, through controlling the vehicle along planning route automatic movement to appointed position, when the car owner gets into the parking area, the automatic drive vehicle is gone forward to car owner place, bring comfortable intelligent driving experience for the car owner.
Drawings
FIG. 1 shows a flow chart of a method according to an embodiment of the present application;
fig. 2 shows a block diagram of the elements of a system according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail below with reference to the accompanying drawings, wherein it is apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the examples and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, the "plurality" generally includes at least two.
It should be understood that the term "and/or" as used herein is merely one relationship describing the association of the associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used in embodiments of the present application to describe, these descriptions should not be limited to these terms. These terms are only used to distinguish one from another. For example, a first may also be referred to as a second, and similarly, a second may also be referred to as a first, without departing from the scope of embodiments of the present application.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a product or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such product or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a commodity or device comprising such element.
In particular, the symbols and/or numerals present in the description, if not marked in the description of the figures, are not numbered.
Alternative embodiments of the present application are described in detail below with reference to the accompanying drawings.
The embodiment provided by the application is an embodiment of a method for automatically searching for people in a parking lot vehicle.
An embodiment of the present application is described in detail below with reference to fig. 1.
A method for automatically searching for a person in a parking lot vehicle comprises the following steps of S101, S102, S103 and S104; wherein step S101, step S102, step S103 and step S104 are performed in a remote server, the method comprising: pre-establishing an adaptive parking lot database, wherein information in a parking lot is stored in the adaptive parking lot database; acquiring an owner image and corresponding position information thereof, identifying the owner information through an image identification technology, and acquiring the owner gps position information in real time through an owner mobile phone APP; judging the driving intention of the vehicle, judging the driving intention of the vehicle owner by comparing the change of the gps position information of the vehicle owner, and giving out a corresponding path route plan according to a judging result; and controlling the vehicle to move according to the path route planning, combining the gps information and the vehicle surrounding information reported by the vehicle in real time, controlling the vehicle to move to a designated position through the path route planning, and informing the vehicle owner of the position and state information of the vehicle.
Step S101, parking space and road network node information in a parking lot are acquired in real time through a parking space road network model module for parking space cloud service, segmentation and modeling are carried out, and a high-precision road network data three-dimensional model is constructed;
it is to be noted that, by constructing a high-precision road network data three-dimensional model, the real scene can be truly reflected, and the parking space occupation situation can be obtained in real time, so as to establish an adaptive parking lot database, wherein the database comprises parking space parking information, vehicle gps information, parking space occupation information, parking space quantity information, vehicle owner information and parking space road network information;
step S102, acquiring photos shot by a parking lot gate camera in real time through a parking lot cloud service, and identifying a vehicle owner through an image identification technology;
it should be noted that, the vehicle owner information is identified by the image identification technology, and the vehicle owner gps position information is obtained in real time by the vehicle owner mobile phone APP, the image identification technology comprises the following steps: acquiring an image through a camera, a scanner or from the internet; data preprocessing: processing and optimizing the image, including denoising, image enhancement, size adjustment and the like; feature extraction: extracting meaningful features from the image, such as edges, textures, colors, etc.; the characteristic is represented as follows: converting the extracted features into a computer-processable form, such as a vector or matrix; classification and identification: classifying and identifying the extracted features by using a machine learning algorithm, classifying the images into different categories or giving the identification of the object;
step S103, judging the driving intention of the vehicle, firstly, monitoring the arrival of a vehicle owner: if the image recognition module recognizes the vehicle owner, judging that the vehicle owner has arrived at the parking lot, judging the driving intention of the vehicle, and judging the driving intention of the vehicle owner by comparing the change of the gps position information of the vehicle owner;
it should be noted that, when judging intention, firstly, obtaining the gps position information of the vehicle owner: acquiring the gps position information of a vehicle owner in real time through a user mobile phone APP; deciding whether to move the vehicle: by comparing the gps position information of the vehicle owner, when the vehicle owner position movement within 1 minute is found to be less than 2 meters, judging that the vehicle owner enters a waiting state, deciding that the vehicle needs to be moved, and sending a vehicle moving instruction and the vehicle owner position information to a path planning module; deciding whether to stop or not: comparing the gps position information of the vehicle owner, judging that the vehicle owner leaves the parking lot when the position of the vehicle owner is changed from the parking lot to the outside of the parking lot, deciding that the vehicle needs to be parked and issuing a parking instruction to a path planning module if the vehicle is moving, acquiring road network information in the parking lot through a parking space road network model module after receiving the issued instruction needing to be moved, planning the shortest travelling path by combining the position information of the vehicle owner and issuing the shortest travelling path to a travelling control module; when a parking instruction is received, all the idle parking spaces in the parking lot are acquired through the parking space road network model module, the shortest path of the nearest idle parking space can be reached by combining the real-time GPS information planning reported by the vehicle, the shortest path is issued to the driving control module, and the real-time GPS information can be acquired through a GPS function on a GPS device or a smart phone. These devices use signals transmitted by the receiving satellites to determine the current location of the device. GPS devices generally have higher positioning accuracy and reliability;
step S104, after receiving the driving path, the driving control module issues a vehicle control instruction to the vehicle control module in combination with the gps information reported by the vehicle in real time;
the vehicle control instructions include vehicle start, forward, backward, left turn, and rear turn; the vehicle control module can acquire the distance between the vehicle control module and surrounding obstacles through the vehicle-mounted radar in real time when controlling the vehicle to travel, and adjust the vehicle body in real time, so that the situation that the distance between the vehicle body and the surrounding obstacles is smaller than the safety distance is avoided, and when the vehicle starts, the notification module issues a message to the mobile phone app of the user to notify the vehicle owner that the vehicle is started; when the vehicle runs, the notification module transmits the road network information of the parking lot and the real-time position of the vehicle to the mobile phone app of the user for the owner to check; when the vehicle is parked, the notification module issues a message to the user mobile phone app to notify the owner that the vehicle is parked.
The application further provides an embodiment of the device adapted to the above embodiment, which is used for implementing the method steps described in the above embodiment, and the explanation based on the meaning of the same name is the same as that of the above embodiment, and has the same technical effects as those of the above embodiment, and is not repeated herein.
As shown in fig. 2, the application provides a system for automatically searching people in a parking lot vehicle, which comprises a remote server and a vehicle, wherein the remote server is connected with the vehicle through a tbox, each vehicle module is connected through a CAN bus, each vehicle module comprises a parking space road network model module, an image recognition module, a vehicle control module, a position reporting module, a decision module, a path planning module, a driving control module and a notification module, the parking space road network model module, the image recognition module, the decision module, the path planning module, the driving control module and the notification module are all in communication connection with a user mobile phone APP, the parking space road network model module, the image recognition module, the decision module, the path planning module, the driving control module and the notification module are all connected with a parking cloud service, and the parking space road network model module, the image recognition module, the decision module, the path planning module, the driving control module and the notification module are connected with the vehicle control module and the position reporting module through tbox, and the vehicle control module and the position reporting module are connected with a vehicle radar.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The automatic person searching method for the vehicle in the parking lot is characterized by comprising the following steps of: the method comprises the following steps:
pre-establishing an adaptive parking lot database, wherein information in a parking lot is stored in the adaptive parking lot database;
acquiring an owner image and corresponding position information thereof, identifying the owner information through an image identification technology, and acquiring the owner gps position information in real time through an owner mobile phone APP;
judging the driving intention of the vehicle, judging the driving intention of the vehicle owner by comparing the change of the gps position information of the vehicle owner, and giving out a corresponding path route plan according to a judging result;
and controlling the vehicle to move according to the path route planning, combining the gps information and the vehicle surrounding information reported by the vehicle in real time, controlling the vehicle to move to a designated position through the path route planning, and informing the vehicle owner of the position and state information of the vehicle.
2. The method according to claim 1, characterized in that: the information of the parking lot comprises parking space parking information, vehicle gps information, parking space occupation information, parking space quantity information, vehicle owner information and parking space road network information.
3. The method according to claim 2, characterized in that: the parking space road network information is information of parking spaces and road network nodes in the parking lot obtained in real time through the parking lot cloud service.
4. The method according to claim 1, characterized in that: and the car owner image is a picture shot by a camera at the entrance of the parking lot through the parking lot cloud service.
5. The method according to claim 1, characterized in that: the method for judging the driving intention of the vehicle owner comprises the following steps of:
monitoring the arrival of a vehicle owner: if the image identifies the car owner, judging that the car owner has arrived at the parking lot;
acquiring the gps position information of a vehicle owner: acquiring the gps position information of a vehicle owner in real time through a user mobile phone APP;
deciding whether to move the vehicle: by comparing the gps position information of the vehicle owner, when the vehicle owner position movement within 1 minute is found to be less than 2 meters, judging that the vehicle owner enters a waiting state, deciding that the vehicle needs to be moved, issuing a vehicle moving instruction and the vehicle owner position information to the vehicle, and moving the vehicle according to the path route planning;
deciding whether to stop or not: and comparing the gps position information of the vehicle owner, judging that the vehicle owner leaves the parking lot when the vehicle owner moves out of the parking lot from the parking lot, deciding that the vehicle needs to be parked and issuing a parking instruction to the vehicle if the vehicle is moving at the moment, and moving the vehicle according to the path planning.
6. The method according to claim 5, wherein: after receiving the issued command for moving the vehicle, the vehicle passes through the road network information in the parking lot, plans the shortest travel path by combining the vehicle owner position information and issues the shortest travel path to the driving control system.
7. The method according to claim 6, wherein: after the vehicle receives the command of parking, the shortest path which can reach the nearest idle parking space is planned through all idle parking space information in the parking lot and by combining the real-time gps information reported by the vehicle, and the shortest path is issued to the driving control system.
8. The method according to claim 7, wherein: after the vehicle receives the driving path, the vehicle control system can issue vehicle control instructions to the vehicle control module by combining with the gps information reported by the vehicle in real time, wherein the vehicle control instructions comprise vehicle starting, advancing, retreating, left turning and rear turning, and the vehicle control system can acquire the distance from surrounding obstacles through the vehicle-mounted radar in real time when controlling the vehicle to travel and adjust the vehicle body in real time, so that the situation that the distance between the vehicle body and the surrounding obstacles is smaller than the safe distance is avoided.
9. The method according to claim 1, characterized in that: the vehicle surrounding information is a distance between the vehicle body and surrounding obstacles by radar installed around the vehicle body.
10. The utility model provides a parking area vehicle automatic person seeking's system, includes remote server and vehicle, remote server passes through tbox with the vehicle and links to each other, links to each other through CAN bus between each module of vehicle, its characterized in that: the vehicle modules include:
parking space road network model module: the method is used for acquiring the parking space and road network node information in the parking lot in real time through the parking lot cloud service, segmenting and modeling the parking space and the road network node information, and constructing a high-precision road network data three-dimensional model, so that a real scene can be truly reflected, and the occupation situation of the parking space can be acquired in real time;
an image recognition module: the method comprises the steps of acquiring photos shot by a parking lot gate camera in real time through a parking lot cloud service, and identifying a vehicle owner through an image identification technology;
the vehicle control module: the system is used for receiving the instruction of the decision module and controlling the running of the automobile;
and a position reporting module: reporting the gps information of the vehicle to a remote server in real time through a tbox, and positioning the position of the vehicle;
a decision module; the method is used for judging the driving intention of the vehicle according to the change of the gps position information of the vehicle owner;
and a path planning module: the parking space road network model module is used for acquiring all idle parking spaces in a parking lot, planning corresponding paths by combining real-time gps information reported by vehicles and issuing the corresponding paths to the driving control module;
and the driving control module is used for: the system is used for issuing a vehicle control instruction to a vehicle control module after receiving a driving path and combining gps information reported by a vehicle in real time;
and a notification module: the mobile phone app is used for sending a message to the user mobile phone app to inform the vehicle owner of the vehicle position information and the vehicle state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311210066.9A CN117334064A (en) | 2023-09-19 | 2023-09-19 | Method and system for automatically searching for people in parking lot vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311210066.9A CN117334064A (en) | 2023-09-19 | 2023-09-19 | Method and system for automatically searching for people in parking lot vehicle |
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| Publication Number | Publication Date |
|---|---|
| CN117334064A true CN117334064A (en) | 2024-01-02 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311210066.9A Pending CN117334064A (en) | 2023-09-19 | 2023-09-19 | Method and system for automatically searching for people in parking lot vehicle |
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| Country | Link |
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| CN (1) | CN117334064A (en) |
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- 2023-09-19 CN CN202311210066.9A patent/CN117334064A/en active Pending
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