CN115188211A - Intelligent automobile parking system - Google Patents
Intelligent automobile parking system Download PDFInfo
- Publication number
- CN115188211A CN115188211A CN202210790710.3A CN202210790710A CN115188211A CN 115188211 A CN115188211 A CN 115188211A CN 202210790710 A CN202210790710 A CN 202210790710A CN 115188211 A CN115188211 A CN 115188211A
- Authority
- CN
- China
- Prior art keywords
- parking
- data
- vehicle
- module
- automatic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013500 data storage Methods 0.000 claims abstract description 42
- 238000012544 monitoring process Methods 0.000 claims abstract description 26
- 238000004891 communication Methods 0.000 claims description 50
- 238000012360 testing method Methods 0.000 claims description 20
- 238000000034 method Methods 0.000 claims description 18
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 238000013439 planning Methods 0.000 claims description 5
- 206010039203 Road traffic accident Diseases 0.000 abstract description 2
- 238000012545 processing Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- 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
- G08G1/0969—Systems involving transmission of navigation instructions to the vehicle having a display in the form of a map
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses an intelligent automobile parking system, relates to the technical field of intelligent parking, and solves the technical problem of vehicle accidents caused by inaccurate judgment on the surrounding environment of an intelligent automobile during automatic parking in the existing scheme; the parking monitoring system comprises a processor, a parking space analysis module, a data acquisition module, a comprehensive analysis module, an automatic operation module, a parking monitoring module and a data storage module; the parking space analysis module is arranged, so that the reliability of the parking space can be improved, and the automatic parking efficiency can be improved; the comprehensive analysis module is arranged, the feasibility of automatic parking can be guaranteed, and traffic accidents caused by forced automatic parking of the intelligent automobile in a severe environment are avoided; the automatic operation module is arranged, and the automatic operation is finished by integrating data digging in multiple aspects, so that the time of a user is saved, and the problem that the parking space is difficult to find and the vehicle cannot be parked is avoided.
Description
Technical Field
The invention belongs to the technical field of intelligent parking, and particularly relates to an intelligent automobile parking system.
Background
Along with the improvement of people's standard of living, intelligent automobile is more and more popularized, and automatic driving parking technique also begins to use in the actual life, has brought very big facility for people's driving and parking, when meetting very little parking stall, can be more painstaking when people's driver parks, and automatic driving parking technique can control the car and stop into very easily, has saved the time of wasting because of the difficulty of parkking.
The invention patent with publication number CN112382117A provides an artificial intelligence-based automatic driving parking system for a new energy automobile, which comprises: the system comprises a central processing unit, a data management center, an electric quantity residual detection module, a parking space recording module, a parking space data calling module, a parking lot modeling unit, a parking space searching and planning module, an empty space scanning module, an alarm receiving and feedback module, a display terminal and a parking method autonomous learning module.
According to the scheme, the automatic parking function of the automobile is realized by controlling the automobile through the parking method which is independently learned, so that the time for searching for the empty parking space and the charging cost are saved, the trouble of self parking is avoided for the automobile owner, and the utilization rate of the parking space is improved; however, the above solutions cannot determine the property of the parking space and cannot determine the feasibility of automatic parking according to the vehicle environment; therefore, the above solution still needs further improvement.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides an intelligent automobile parking system.
The purpose of the invention can be realized by the following technical scheme: an intelligent automobile parking system comprises a processor, a parking space analysis module, a data acquisition module, a comprehensive analysis module, an automatic operation module, a parking monitoring module and a data storage module;
the data acquisition module is electrically connected with the intelligent automobile, the data acquisition module is in communication connection with the intelligent terminal, and the intelligent terminal comprises an intelligent mobile phone, a tablet personal computer and a notebook computer; the data acquisition module is used for acquiring parking space data, traffic data and vehicle data in real time, sending the parking space data, the traffic data and the vehicle data to the parking space analysis module, sending the traffic data and the vehicle data to the comprehensive analysis module, and sending the parking space data, the traffic data and the vehicle data to the data storage module for storage;
the automatic operation module accomplishes the automatic parking of intelligent automobile according to instruction data, includes:
when the instruction data received by the automatic operation module is an automatic parking signal, acquiring a parking space map; the instruction data comprise an automatic parking signal and an automatic driving signal, and are sent through the intelligent terminal;
selecting a target parking space according to a parking space selection rule;
planning a path between the initial position and the target parking space through a third-party map platform and marking the path as a target path;
the automatic parking monitoring system comprises an automatic operation module, a data storage module, a parking monitoring module, a data storage module and a data processing module, wherein the automatic operation module controls an intelligent automobile to finish automatic parking according to a target path, when the automatic parking is finished, an automatic parking finishing signal is generated and sent to the parking monitoring module, meanwhile, the automatic parking process of the intelligent automobile is recorded into a video and marked as an automatic parking video, and the automatic parking video is sent to the data storage module for storage;
the automatic operation module accomplishes the autopilot of intelligent automobile according to instruction data, includes:
when the instruction data received by the automatic operation module are automatic driving signals, acquiring a sending position of the instruction data and marking the sending position as a target position;
acquiring a formal path between the intelligent automobile and a target position through a third-party map platform and marking the formal path as an expected path;
the automatic driving control method comprises the steps that an automatic operation module controls an intelligent automobile to complete automatic driving according to an expected path, the automatic driving process of the intelligent automobile is recorded into a video and marked as an automatic driving video, when the automatic driving is completed, an automatic driving completion signal is generated and sent to a parking monitoring module, and meanwhile, the automatic driving video is sent to a data storage module to be stored.
Preferably, the acquiring of the target parking space specifically includes:
acquiring a target rule in the parking place selection rules; the parking space selection rule comprises distance priority and cost priority, and a user sets any one of the distance priority and the cost priority as a target rule through an intelligent terminal;
when the target rule is that the distance is prior, selecting an idle parking space closest to the initial position in the parking space map and marking the idle parking space as a target parking space;
and when the target rule is that the fee is prior, selecting free and free parking spaces in the parking space map and marking the free and free parking spaces as target parking spaces.
Preferably, the parking monitoring module acquires parking data of the intelligent automobile, wherein the parking data comprises videos around the intelligent automobile, parking duration and estimated parking fee when the intelligent automobile is parked; the parking duration and the estimated parking fee are sent to an intelligent terminal of a user in real time through the processor, and meanwhile parking data are sent to the data storage module to be stored.
Preferably, the comprehensive analysis module is used for analyzing the feasibility of automatic parking of the intelligent vehicle, and comprises:
after the comprehensive analysis module receives the traffic data and the vehicle data, extracting a vehicle communication state label in the vehicle data;
when the vehicle communication state label is 1, extracting the congestion degree and the pedestrian flow in the traffic data, and marking the pedestrian flow as XL;
when the congestion degree is 3 and the pedestrian flow XL satisfies the condition that XL is not less than L1, judging that the vehicle is not suitable for automatic parking under the current condition; otherwise, judging that the vehicle is suitable for automatic parking under the current condition, and generating an automatic parking label; wherein L1 is a pedestrian flow threshold, and L1 is an integer greater than 0;
and respectively sending the automatic parking labels to the automatic operation module and the data storage module.
Preferably, the acquiring of the vehicle communication status tag specifically includes:
sending a first state signal to a vehicle-mounted sensor through a data acquisition module according to a set period, and sending a second state signal to the data acquisition module immediately after the vehicle-mounted sensor receives the first state signal; the vehicle-mounted sensor comprises a temperature sensor, a humidity sensor, an ultrasonic sensor and a vehicle-mounted radar, and the set period comprises one minute, thirty minutes and sixty minutes;
marking the time difference between the second state signal received by the data acquisition module and the first state signal sent by the data acquisition module as the communication test duration;
when the communication test duration is greater than or equal to the test duration threshold, judging that the corresponding vehicle-mounted sensor is abnormal; when the communication test duration is smaller than the test duration threshold, judging that the corresponding vehicle-mounted sensor is normal; wherein the test duration threshold is obtained by mass data simulation;
generating a vehicle communication state label according to the communication test duration; the value of the vehicle communication state label comprises 0 and 1, when the vehicle communication state label is 0, the vehicle-mounted sensor is indicated to be abnormal, and when the vehicle communication state label is 1, the vehicle-mounted sensor in the intelligent automobile is indicated to be normal;
and sending the vehicle communication state label to the data storage module for storage through the processor.
Preferably, the parking space analysis module acquires a parking space map according to the parking space data and the vehicle data, and the parking space analysis module includes:
when the parking space analysis module receives the parking space data, the traffic data and the vehicle data, extracting a vehicle position in the vehicle data and marking the vehicle position as an initial position;
extracting congestion degrees in the traffic data, acquiring a set radius according to the congestion degrees and marking the set radius as a target radius;
a circular area is defined by taking the initial position as the circle center and the target radius as the radius and is marked as a target area;
generating a parking space map by combining the target area with a third-party map platform; the third-party map platform comprises a Baidu map, an Tencent map and a Gagde map; the parking space map comprises parking space labels and statistical labels;
and the processor sends the parking space map to the data storage module and the automatic operation module.
Preferably, the parking space tag comprises a parking space coordinate, a parking space state and a parking space charging state, wherein the parking space state comprises busy and free, and the parking space charging state comprises charging and free; therefore, the statistical labels comprise the number of the parking spaces, the number of the free parking spaces and the number of the busy parking spaces.
Preferably, the parking space data includes the parking space number, the parking space state, the parking space charging state and the parking space coordinates, and the vehicle data includes the vehicle position and the vehicle communication state label; the traffic data includes congestion level and pedestrian traffic.
Preferably, the value of the congestion degree includes 1, 2 and 3, when the congestion degree is 1, the current environment where the intelligent automobile is located is normal in traffic, when the congestion degree is 2, the current environment where the intelligent automobile is located is slightly congested, and when the congestion degree is 3, the current environment where the intelligent automobile is located is severely congested; and when the congestion degree is 1, the corresponding set radius is R1, when the congestion degree is 2, the corresponding set radius is R2, when the congestion degree is 3, the corresponding set radius is R3, wherein R1, R2 and R3 are all constants, and R1< R2< R3.
Preferably, the processor is respectively in communication connection with the parking space analysis module, the data acquisition module, the comprehensive analysis module, the automatic operation module, the parking monitoring module and the data storage module; the parking monitoring module is in communication connection with the data storage module and the automatic operation module respectively, and the automatic operation module is in communication connection with the comprehensive analysis module.
Preferably, the working method of the intelligent automobile parking system specifically comprises the following steps:
the method comprises the following steps: the data acquisition module is used for acquiring parking space data, traffic data and vehicle data in real time, sending the parking space data, the traffic data and the vehicle data to the parking space analysis module, sending the traffic data and the vehicle data to the comprehensive analysis module, and sending the parking space data, the traffic data and the vehicle data to the data storage module for storage;
step two: when the parking space analysis module receives the parking space data, the traffic data and the vehicle data, extracting a vehicle position in the vehicle data and marking the vehicle position as an initial position; extracting the congestion degree in the traffic data, acquiring a set radius according to the congestion degree, and marking the set radius as a target radius; acquiring a target area according to the initial position and the target radius; generating a parking space map by combining the target area with a third-party map platform;
step three: after the comprehensive analysis module receives the traffic data and the vehicle data, extracting a vehicle communication state label in the vehicle data; when the vehicle communication state label is 1, extracting the congestion degree and the pedestrian flow in the traffic data, and marking the pedestrian flow as XL; when the pedestrian flow meets the requirement, an automatic parking label is generated; respectively sending the automatic parking labels to an automatic operation module and a data storage module;
step four: the automatic operation module is combined with the automatic parking signal, the parking space map and the target path to finish automatic parking, the automatic operation module is combined with the automatic driving signal and the expected path to finish automatic driving, and the automatic parking video and the automatic driving video are sent to the data storage module to be stored.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention is provided with a parking space analysis module, which acquires a parking space map according to parking space data and vehicle data; the parking space analysis module acquires optional parking spaces around the intelligent automobile in real time according to the parking space data, the traffic data and the vehicle data and generates a parking space map, so that the reliability of the parking spaces can be improved, and the automatic parking efficiency can be improved;
2. the invention is provided with a comprehensive analysis module, and the comprehensive analysis module is used for analyzing the feasibility of automatic parking of the intelligent vehicle; the comprehensive analysis module analyzes whether the environment of the intelligent automobile meets the requirement of automatic parking according to the traffic data and the vehicle data, the feasibility of automatic parking can be ensured, and traffic accidents caused by forced automatic parking of the intelligent automobile in severe environment are avoided;
3. the automatic operation module is arranged, and the automatic parking of the intelligent automobile is completed according to the instruction data; the automatic operation module finishes automatic parking and automatic driving according to the instruction data, integrates multiple aspects of data to dig and finish automatic operation, is favorable for saving user time, and avoids the problem that the parking space is difficult to find so as to cause the failure of parking.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, an intelligent car parking system includes a processor, a parking space analysis module, a data acquisition module, a comprehensive analysis module, an automatic operation module, a parking monitoring module and a data storage module;
the data acquisition module is electrically connected with the intelligent automobile and is in communication connection with the intelligent terminal, and the intelligent terminal comprises an intelligent mobile phone, a tablet personal computer and a notebook computer; the data acquisition module is used for acquiring parking space data, traffic data and vehicle data in real time, transmitting the parking space data, the traffic data and the vehicle data to the parking space analysis module, transmitting the traffic data and the vehicle data to the comprehensive analysis module, and transmitting the parking space data, the traffic data and the vehicle data to the data storage module for storage;
the automatic operation module finishes the automatic parking of the intelligent automobile according to the instruction data, and comprises:
when the instruction data received by the automatic operation module is an automatic parking signal, acquiring a parking space map; the instruction data comprise an automatic parking signal and an automatic driving signal, and the instruction data are sent through the intelligent terminal;
selecting a target parking space according to a parking space selection rule;
planning a path between the initial position and the target parking space through a third-party map platform and marking the path as a target path;
the automatic parking monitoring system comprises an automatic operation module, a data storage module, a parking monitoring module, a data storage module and a data processing module, wherein the automatic operation module controls an intelligent automobile to finish automatic parking according to a target path, when the automatic parking is finished, an automatic parking finishing signal is generated and sent to the parking monitoring module, meanwhile, the automatic parking process of the intelligent automobile is recorded into a video and marked as an automatic parking video, and the automatic parking video is sent to the data storage module for storage;
the automatic operation module accomplishes the autopilot of intelligent automobile according to instruction data, includes:
when the instruction data received by the automatic operation module are automatic driving signals, acquiring a sending position of the instruction data and marking the sending position as a target position;
acquiring a formal path between the intelligent automobile and the target position through a third-party map platform and marking the formal path as an expected path;
the automatic driving control method comprises the steps that an automatic operation module controls an intelligent automobile to complete automatic driving according to an expected path, the automatic driving process of the intelligent automobile is recorded into a video and marked as an automatic driving video, when the automatic driving is completed, an automatic driving completion signal is generated and sent to a parking monitoring module, and meanwhile, the automatic driving video is sent to a data storage module to be stored.
Further, the acquisition of target parking stall specifically includes:
acquiring a target rule in the parking place selection rules; the parking space selection rule comprises distance priority and cost priority, and a user sets any one of the distance priority and the cost priority as a target rule through the intelligent terminal;
when the target rule is that the distance is prior, selecting an idle parking space closest to the initial position in the parking space map and marking the idle parking space as a target parking space;
and when the target rule is that the fee is prior, selecting free and idle parking spaces in the parking space map and marking the free and idle parking spaces as target parking spaces.
Further, the parking monitoring module acquires parking data of the intelligent automobile, wherein the parking data comprises videos around the intelligent automobile during parking, parking time and estimated parking fee; the parking duration and the estimated parking fee are sent to an intelligent terminal of a user in real time through the processor, and meanwhile parking data are sent to the data storage module to be stored.
Further, the comprehensive analysis module is used for analyzing the feasibility of automatic parking of the intelligent vehicle, and comprises the following steps:
after the comprehensive analysis module receives the traffic data and the vehicle data, extracting a vehicle communication state label in the vehicle data;
when the vehicle communication state label is 1, extracting the congestion degree and the pedestrian flow in the traffic data, and marking the pedestrian flow as XL;
when the congestion degree is 3 and the pedestrian flow XL meets the condition that XL is not equal to or larger than L1, judging that the vehicle is not suitable for automatic parking under the current condition; otherwise, judging that the vehicle is suitable for automatic parking under the current condition, and generating an automatic parking label; wherein L1 is a pedestrian flow threshold, and L1 is an integer greater than 0;
and respectively sending the automatic parking labels to the automatic operation module and the data storage module.
Further, the obtaining of the vehicle communication state tag specifically includes:
sending a first state signal to a vehicle-mounted sensor through a data acquisition module according to a set period, and sending a second state signal to the data acquisition module immediately after the vehicle-mounted sensor receives the first state signal; the vehicle-mounted sensor comprises a temperature sensor, a humidity sensor, an ultrasonic sensor and a vehicle-mounted radar, and the set period comprises one minute, thirty minutes and sixty minutes;
marking the time difference between the second state signal received by the data acquisition module and the first state signal sent by the data acquisition module as the communication test time length;
when the communication test duration is greater than or equal to the test duration threshold, judging that the corresponding vehicle-mounted sensor is abnormal; when the communication test duration is smaller than the test duration threshold, judging that the corresponding vehicle-mounted sensor is normal; the test duration threshold is obtained through simulation of a large amount of data;
generating a vehicle communication state label according to the communication test duration; the value of the vehicle communication state label comprises 0 and 1, when the vehicle communication state label is 0, the vehicle-mounted sensor is indicated to be abnormal, and when the vehicle communication state label is 1, the vehicle-mounted sensor in the intelligent automobile is indicated to be normal;
and sending the vehicle communication state label to a data storage module for storage through a processor.
Further, parking stall analysis module obtains the parking stall map according to parking stall data and vehicle data, includes:
when the parking space analysis module receives the parking space data, the traffic data and the vehicle data, extracting a vehicle position in the vehicle data and marking the vehicle position as an initial position;
extracting congestion degrees in the traffic data, acquiring a set radius according to the congestion degrees and marking the set radius as a target radius;
a circular area is defined by taking the initial position as the circle center and the target radius as the radius and is marked as a target area;
generating a parking space map by combining the target area with a third-party map platform; the third-party map platform comprises a Baidu map, an Tencent map and a Gagde map; the parking space map comprises parking space labels and statistical labels;
and the processor sends the parking space map to the data storage module and the automatic operation module.
Further, the parking space label comprises a parking space coordinate, a parking space state and a parking space charging state, wherein the parking space state comprises busy and free, and the parking space charging state comprises charging and free; so the statistics label includes the parking stall quantity, the number of idle parking stalls and the number of busy parking stalls.
Further, the parking space data comprises the parking space number, the parking space state, the parking space charging state and the parking space coordinates, and the vehicle data comprises the vehicle position and the vehicle communication state label; traffic data includes congestion levels and pedestrian traffic.
Further, the value of the congestion degree comprises 1, 2 and 3, when the congestion degree is 1, the normal traffic of the current environment of the intelligent automobile is represented, when the congestion degree is 2, the light traffic congestion of the current environment of the intelligent automobile is represented, and when the congestion degree is 3, the serious traffic congestion of the current environment of the intelligent automobile is represented; and when the congestion degree is 1, the corresponding set radius is R1, when the congestion degree is 2, the corresponding set radius is R2, when the congestion degree is 3, the corresponding set radius is R3, wherein R1, R2 and R3 are all constants, and R1< R2< R3.
Furthermore, the processor is respectively in communication connection with the parking space analysis module, the data acquisition module, the comprehensive analysis module, the automatic operation module, the parking monitoring module and the data storage module; the data acquisition module is respectively in communication connection with the parking space analysis module and the comprehensive analysis module, the parking monitoring module is respectively in communication connection with the data storage module and the automatic operation module, and the automatic operation module is in communication connection with the comprehensive analysis module.
Further, the working method of the intelligent automobile parking system specifically comprises the following steps:
the method comprises the following steps: the data acquisition module is used for acquiring parking space data, traffic data and vehicle data in real time, transmitting the parking space data, the traffic data and the vehicle data to the parking space analysis module, transmitting the traffic data and the vehicle data to the comprehensive analysis module, and transmitting the parking space data, the traffic data and the vehicle data to the data storage module for storage;
step two: when the parking space analysis module receives the parking space data, the traffic data and the vehicle data, extracting a vehicle position in the vehicle data and marking the vehicle position as an initial position; extracting the congestion degree in the traffic data, acquiring a set radius according to the congestion degree, and marking the set radius as a target radius; acquiring a target area according to the initial position and the target radius; generating a parking space map by combining the target area with a third-party map platform;
step three: after the comprehensive analysis module receives the traffic data and the vehicle data, extracting a vehicle communication state label in the vehicle data; when the vehicle communication state label is 1, extracting the congestion degree and the pedestrian flow in the traffic data, and marking the pedestrian flow as XL; when the pedestrian flow meets the requirement, an automatic parking label is generated; respectively sending the automatic parking labels to an automatic operation module and a data storage module;
step four: the automatic operation module is combined with the automatic parking signal, the parking space map and the target path to complete automatic parking, and the automatic operation module is combined with the automatic driving signal and the expected path to complete automatic driving and send the automatic parking video and the automatic driving video to the data storage module for storage.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
the data acquisition module is used for acquiring parking space data, traffic data and vehicle data in real time, transmitting the parking space data, the traffic data and the vehicle data to the parking space analysis module, transmitting the traffic data and the vehicle data to the comprehensive analysis module, and transmitting the parking space data, the traffic data and the vehicle data to the data storage module for storage;
when the parking space analysis module receives the parking space data, the traffic data and the vehicle data, extracting a vehicle position in the vehicle data and marking the vehicle position as an initial position; extracting congestion degrees in the traffic data, acquiring a set radius according to the congestion degrees and marking the set radius as a target radius; a circular area is defined by taking the initial position as the circle center and the target radius as the radius and is marked as a target area; generating a parking space map by combining the target area with a third-party map platform; the parking space map is sent to the data storage module and the automatic operation module through the processor;
after the comprehensive analysis module receives the traffic data and the vehicle data, extracting a vehicle communication state label in the vehicle data; when the vehicle communication state label is 1, extracting the congestion degree and the pedestrian flow in the traffic data, and marking the pedestrian flow as XL; when the congestion degree is 3 and the pedestrian flow XL meets the condition that XL is not equal to or larger than L1, judging that the vehicle is not suitable for automatic parking under the current condition; otherwise, judging that the vehicle is suitable for automatic parking under the current condition, and generating an automatic parking label; respectively sending the automatic parking label to an automatic operation module and a data storage module;
when the instruction data received by the automatic operation module is an automatic parking signal, acquiring a parking space map; selecting a target parking space according to a parking space selection rule; planning a path between the initial position and the target parking space through a third-party map platform and marking the path as a target path; the automatic parking monitoring system comprises an automatic operation module, a data storage module and a parking monitoring module, wherein the automatic operation module controls an intelligent automobile to finish automatic parking according to a target path, when the automatic parking is finished, an automatic parking finishing signal is generated and sent to the parking monitoring module, meanwhile, the automatic parking process of the intelligent automobile is recorded into a video and marked as an automatic parking video, and the automatic parking video is sent to the data storage module for storage; when the instruction data received by the automatic operation module are automatic driving signals, acquiring a sending position of the instruction data and marking the sending position as a target position; acquiring a formal path between the intelligent automobile and a target position through a third-party map platform and marking the formal path as an expected path; the automatic driving control method comprises the steps that an automatic operation module controls an intelligent automobile to complete automatic driving according to an expected path, the automatic driving process of the intelligent automobile is recorded into a video and marked as an automatic driving video, when the automatic driving is completed, an automatic driving completion signal is generated and sent to a parking monitoring module, and meanwhile, the automatic driving video is sent to a data storage module to be stored.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to 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 do not necessarily 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.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.
Claims (5)
1. An intelligent automobile parking system is characterized by comprising a processor, a parking space analysis module, a data acquisition module, a comprehensive analysis module, an automatic operation module, a parking monitoring module and a data storage module;
the data acquisition module is used for acquiring parking space data, traffic data and vehicle data in real time, sending the parking space data, the traffic data and the vehicle data to the parking space analysis module, and sending the traffic data and the vehicle data to the comprehensive analysis module; the parking monitoring module acquires parking data of the intelligent automobile;
the automatic operation module accomplishes the automatic parking of intelligent automobile according to instruction data, includes:
when the instruction data received by the automatic operation module is an automatic parking signal, acquiring a parking space map; selecting a target parking space according to a parking space selection rule; planning a path between the initial position and the target parking space and marking the path as a target path; the intelligent automobile is controlled by the automatic operation module to finish automatic parking according to the target path, and an automatic parking completion signal is generated and sent to the parking monitoring module;
the automatic operation module accomplishes the autopilot of intelligent automobile according to instruction data, includes:
when the instruction data received by the automatic operation module is an automatic driving signal, acquiring a sending position of the instruction data and marking the sending position as a target position; acquiring a formal path between the intelligent automobile and a target position and marking the formal path as an expected path; the automatic operation module controls the intelligent automobile to finish automatic driving according to the expected path, records the automatic driving process of the intelligent automobile into a video and marks the video as an automatic driving video, and generates and sends an automatic driving finishing signal to the parking monitoring module.
2. The intelligent vehicle parking system according to claim 1, wherein the parking data comprises videos around the intelligent vehicle, parking time and estimated parking fee when parking; the parking duration and the estimated parking fee are sent to an intelligent terminal of a user in real time through the processor, and meanwhile parking data are sent to the data storage module to be stored.
3. The intelligent vehicle parking system of claim 1 wherein the comprehensive analysis module is configured to analyze feasibility of automatic parking of the intelligent vehicle, and comprises:
after the comprehensive analysis module receives the traffic data and the vehicle data, extracting a vehicle communication state label in the vehicle data;
when the vehicle communication state label is 1, extracting the congestion degree and the pedestrian flow in the traffic data, and marking the pedestrian flow as XL; when the congestion degree is 3 and the pedestrian flow XL meets the condition that XL is not equal to or larger than L1, judging that the vehicle is not suitable for automatic parking under the current condition; otherwise, judging that the vehicle is suitable for automatic parking under the current condition, and generating an automatic parking label; and respectively sending the automatic parking label to the automatic operation module and the data storage module.
4. The intelligent vehicle parking system of claim 4 wherein the obtaining of the vehicle communication status tag specifically comprises:
marking the time difference between the second state signal received by the data acquisition module and the first state signal sent by the data acquisition module as the communication test time length; when the communication test duration is greater than or equal to the test duration threshold, judging that the corresponding vehicle-mounted sensor is abnormal; when the communication test duration is smaller than the test duration threshold, judging that the corresponding vehicle-mounted sensor is normal; generating a vehicle communication state label according to the communication test duration; and sending the vehicle communication state label to a data storage module for storage through a processor.
5. The intelligent vehicle parking system of claim 1 wherein the parking space analysis module obtains a parking space map according to the parking space data and the vehicle data, comprising:
when the parking space analysis module receives the parking space data, the traffic data and the vehicle data, extracting a vehicle position in the vehicle data and marking the vehicle position as an initial position; extracting congestion degrees in the traffic data, acquiring a set radius according to the congestion degrees and marking the set radius as a target radius; a circular area is defined by taking the initial position as the circle center and the target radius as the radius and is marked as a target area;
combining the target area with a third-party map platform to generate a parking space map; and the processor sends the parking space map to the data storage module and the automatic operation module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210790710.3A CN115188211A (en) | 2022-07-06 | 2022-07-06 | Intelligent automobile parking system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210790710.3A CN115188211A (en) | 2022-07-06 | 2022-07-06 | Intelligent automobile parking system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115188211A true CN115188211A (en) | 2022-10-14 |
Family
ID=83516642
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210790710.3A Pending CN115188211A (en) | 2022-07-06 | 2022-07-06 | Intelligent automobile parking system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115188211A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108482366A (en) * | 2018-03-23 | 2018-09-04 | 重庆长安汽车股份有限公司 | Valet parking system and method based on Vehicular automatic driving |
| CN112862214A (en) * | 2021-03-10 | 2021-05-28 | 重庆第二师范学院 | Parking service recommendation method, device, medium and server based on big data |
| CN113085841A (en) * | 2021-04-28 | 2021-07-09 | 恒大新能源汽车投资控股集团有限公司 | Intelligent parking method, device, equipment and storage medium |
| WO2021253454A1 (en) * | 2020-06-19 | 2021-12-23 | 曹庆恒 | Parking management method and parking management system based on intelligent transportation system |
| CN114360278A (en) * | 2021-11-29 | 2022-04-15 | 江铃汽车股份有限公司 | Parking control method and system |
-
2022
- 2022-07-06 CN CN202210790710.3A patent/CN115188211A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108482366A (en) * | 2018-03-23 | 2018-09-04 | 重庆长安汽车股份有限公司 | Valet parking system and method based on Vehicular automatic driving |
| WO2021253454A1 (en) * | 2020-06-19 | 2021-12-23 | 曹庆恒 | Parking management method and parking management system based on intelligent transportation system |
| CN112862214A (en) * | 2021-03-10 | 2021-05-28 | 重庆第二师范学院 | Parking service recommendation method, device, medium and server based on big data |
| CN113085841A (en) * | 2021-04-28 | 2021-07-09 | 恒大新能源汽车投资控股集团有限公司 | Intelligent parking method, device, equipment and storage medium |
| CN114360278A (en) * | 2021-11-29 | 2022-04-15 | 江铃汽车股份有限公司 | Parking control method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112269359B (en) | Internet of things intelligent charging pile remote control system based on cloud platform | |
| CN111540072B (en) | Parking space management service method, equipment and system | |
| CN105679086A (en) | Intelligent parking stall control system and method of charging station | |
| CN108694858A (en) | A kind of method and its system carrying out parking management based on block chain technology | |
| CN108674220B (en) | Energy-saving charging pile reservation method and system | |
| EP2503516A2 (en) | Idle detection for improving fuel consumption efficiency in a vehicle | |
| CN205862590U (en) | A kind of break in traffic rules and regulations monitoring system | |
| CN109084794A (en) | A kind of paths planning method | |
| CN105480108A (en) | Intelligent movable charging service vehicle | |
| CN106056920A (en) | Traffic violation monitoring system and method thereof | |
| CN112669474A (en) | Wisdom garden parking management system based on internet | |
| CN109617967A (en) | One kind being based on big data Intelligent internet of things control platform | |
| CN110901447A (en) | Cloud management system and method for electric vehicle charging pile | |
| CN112977121A (en) | Public charging service management system based on 5G artificial intelligence and Internet of things | |
| CN112598925A (en) | Parking management method and device, computer equipment and storage medium | |
| CN110553657B (en) | Navigation method and system based on chat robot | |
| CN117183798B (en) | Charging pile system based on automatic identification of new energy vehicle and charging method thereof | |
| CN115188211A (en) | Intelligent automobile parking system | |
| CN112362076B (en) | Intelligent display method and related device for navigation information of non-recommended road section | |
| CN113888856B (en) | Monitoring system for providing operation for sprinkler based on road traffic fault judgment model | |
| CN115099729A (en) | Power transmission line anti-external-damage supervision method and system based on navigation system | |
| CN114801839A (en) | Charging method and system based on UAV charging cabinet | |
| CN208884405U (en) | Intelligent space lock | |
| CN115457795B (en) | Parking space monitoring method, system, electronic equipment and computer readable storage medium | |
| CN112053587B (en) | Automatic yield method based on automatic driving vehicle, storage medium and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |