CN113362644A - Parking space navigation method, parking space navigation device and computer equipment - Google Patents
Parking space navigation method, parking space navigation device and computer equipment Download PDFInfo
- Publication number
- CN113362644A CN113362644A CN202110797808.7A CN202110797808A CN113362644A CN 113362644 A CN113362644 A CN 113362644A CN 202110797808 A CN202110797808 A CN 202110797808A CN 113362644 A CN113362644 A CN 113362644A
- Authority
- CN
- China
- Prior art keywords
- parking
- information
- vehicle
- route
- parking space
- 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
Images
Classifications
-
- 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
- G08G1/149—Traffic control systems for road vehicles indicating individual free spaces in parking areas coupled to means for restricting the access to the parking space, e.g. authorization, access barriers, indicative lights
-
- 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
- G08G1/141—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
- G08G1/142—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces external to the vehicles
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
The application provides a parking space navigation method, which comprises the following steps: when a vehicle identifier sent by a vehicle identification device at the entrance of a parking lot is received, responding to the vehicle identifier to obtain information of the vehicle, wherein the information of the vehicle comprises the driving level of a vehicle owner, and the driving level comprises the driving age, the historical parking time and the historical parking track of the vehicle owner; acquiring current position information of the vehicle; acquiring information of vacant parking spaces in a parking lot and road information in the parking lot, wherein the information of the vacant parking spaces comprises position information of the vacant parking spaces and the number of the vacant parking spaces; calculating an optimal parking space and an optimal navigation route according to the vehicle information, the current position information of the vehicle, the free parking space information and the road information; and transmitting the preferred parking space and the preferred navigation route to a vehicle main terminal. In addition, the application also provides a parking space navigation device, computer equipment and a computer readable storage medium.
Description
Technical Field
The present application relates to the field of transportation, and in particular, to a parking space navigation method, a parking space navigation apparatus, a computer device, and a computer-readable storage medium.
Background
With the popularization of vehicle manufacturing technology and the development of economy, more and more users purchase vehicles, the quantity of automobile reserves is continuously increased, and the demand for parking spaces is increased.
Many large-scale underground parking lots or district underground garages are more and more, and these underground garages are usually in order to establish more parking stalls, and the traffic road is narrow, and the overall arrangement is regular, and the vision difference is little, easily gets lost. The spare parking spaces are difficult to find, and accidents such as scraping and rubbing are easy to happen when the road is jammed in the parking peak period.
Disclosure of Invention
In a first aspect, an embodiment of the present application provides a parking space navigation method, where the parking space navigation method includes:
when a vehicle identifier sent by a vehicle identification device at the entrance of a parking lot is received, responding to the vehicle identifier to obtain information of the vehicle, wherein the information of the vehicle comprises the driving level of a vehicle owner, and the driving level comprises the driving age, the historical parking time and the historical parking track of the vehicle owner;
acquiring current position information of the vehicle;
acquiring information of vacant parking spaces in a parking lot and road information in the parking lot, wherein the information of the vacant parking spaces comprises position information of the vacant parking spaces and the number of the vacant parking spaces;
calculating an optimal parking space and an optimal navigation route according to the vehicle information, the current position information of the vehicle, the free parking space information and the road information;
and transmitting the preferred parking space and the preferred navigation route to a vehicle main terminal.
Preferably, the calculating a preferred parking space and a preferred navigation route according to the vehicle information, the current position information of the vehicle, the free parking space information, and the road information includes:
calculating the parking difficulty of each vacant parking space according to the vacant parking space information;
generating a plurality of reference routes according to the current position information of the vehicle and the information of the vacant parking spaces, and calculating the lengths of the plurality of reference routes;
calculating the route driving time of the plurality of reference routes according to the road information and the lengths of the plurality of reference routes;
evaluating the multiple reference routes according to the road information to obtain route driving difficulty and route risk indexes of the multiple reference routes;
evaluating the multiple reference routes according to the route driving difficulty, the route risk index, the route driving time and the parking difficulty corresponding to the vacant parking spaces to obtain multiple reference route scores;
and screening the plurality of reference routes according to the driving level of the vehicle owner and the reference route scores to obtain the preferred parking bit line and the corresponding preferred navigation route.
Preferably, the calculating a preferred parking space and a preferred navigation route according to the vehicle information, the current position information of the vehicle, the free parking space information, and the road information further includes:
calculating the parking difficulty of each vacant parking space according to the vacant parking space information;
screening according to the driving level of the vehicle owner and the parking difficulty of each vacant parking space to obtain a plurality of target parking spaces;
generating a plurality of reference routes according to the current position information of the vehicle and the position information of the target parking spaces, and calculating the lengths of the reference routes;
calculating the route driving time of the plurality of reference routes according to the road information and the lengths of the plurality of reference routes;
evaluating the multiple reference routes according to the road information to obtain route driving difficulty and route risk indexes of the multiple reference routes;
evaluating the multiple reference routes according to the route driving difficulty, the route risk index and the route driving time to obtain a reference route score;
and screening the plurality of reference routes according to the reference route scores to obtain the preferred navigation route and the corresponding preferred parking space.
Preferably, calculating the parking difficulty of each vacant parking space according to the vacant parking space information as described above specifically includes:
acquiring the parking space size and the parking space type of each vacant parking space according to the vacant parking space information;
obtaining parking conditions on two sides of each vacant parking space;
and scoring according to the parking space size, the parking space type and the parking conditions at two sides of each vacant parking space to determine the parking difficulty.
Preferably, the evaluating the multiple reference routes according to the road information to obtain the route driving difficulty and the route risk index of the multiple reference routes includes:
acquiring a parking navigation route of a vehicle in the parking lot during parking;
acquiring dynamic object information and static object information in a road in the parking lot;
and evaluating the plurality of reference routes according to the parking navigation route of the vehicle in the parking process, the dynamic object information and the static object information to obtain the route driving difficulty and the route risk index.
Preferably, the parking space navigation method further includes:
when the car owner drives according to the optimal navigation route, acquiring road information in the parking lot in real time;
when an object influencing the normal running of the vehicle appears on the optimal navigation route, the road change information is transmitted to the vehicle main end to prompt the vehicle owner, and the vehicle main end responds and outputs information to inquire whether the vehicle owner changes the navigation route or not;
and receiving information for confirming that the navigation route is changed by the vehicle owner through the input of the vehicle owner end, and replanning the navigation route according to the road information and the optimal parking space.
In a second aspect, an embodiment of the present application provides a parking space navigation device, the parking space navigation device includes:
the parking lot entrance vehicle identification device comprises a vehicle information acquisition unit, a parking lot entrance vehicle identification unit and a parking lot entrance vehicle identification unit, wherein the vehicle information acquisition unit is used for responding to a vehicle identification to acquire vehicle information, the vehicle information comprises the driving level of a vehicle owner, and the driving level comprises the driving age, the historical parking time and the historical parking track of the vehicle owner;
a vehicle position acquisition unit for acquiring current position information of the vehicle;
the parking lot information acquisition unit is used for acquiring information of spare parking spaces in the parking lot and road information in the parking lot, wherein the information of the spare parking spaces comprises position information of the spare parking spaces and the number of the spare parking spaces;
the parking space determining unit is used for calculating a preferred parking space and a preferred navigation route according to the vehicle information, the current position information of the vehicle, the free parking space information and the road information;
and the information transmission unit is used for transmitting the preferred parking space and the preferred navigation route to the vehicle main terminal.
Further, the parking space determination unit includes:
the parking difficulty calculation unit is used for calculating the parking difficulty of each vacant parking space according to the information of the vacant parking spaces;
the reference route length calculating unit is used for generating a plurality of reference routes according to the current position information of the vehicle and the information of the vacant parking spaces and calculating the lengths of the plurality of reference routes;
a route running time calculation unit for calculating the route running time of the plurality of reference routes according to the road information and the plurality of reference route lengths;
the route risk index calculation unit is used for evaluating the multiple reference routes according to the road information to obtain the route driving difficulty and the route risk index of the multiple reference routes;
the scoring calculation unit is used for evaluating the plurality of reference routes according to the route driving difficulty, the route risk index, the route running time and the parking difficulty of the corresponding vacant parking spaces to obtain a plurality of reference route scores;
and the screening unit is used for screening the plurality of reference routes according to the driving level of the vehicle owner and the reference route scores to obtain the preferred parking bit line and the corresponding preferred navigation route.
In a third aspect, an embodiment of the present application provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, where the processor implements the steps of the parking space navigation method when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the steps of the parking space navigation method.
According to the parking space navigation method, the parking space navigation device, the computer equipment and the computer readable storage medium, the vehicle identification is obtained, the vehicle information is obtained in response to the vehicle identification, and the optimal parking space and the optimal navigation route are calculated according to the driving level of the vehicle owner, the current position information of the vehicle, the spare parking space information and the road information in the vehicle information; and transmitting the preferred parking space and the preferred navigation route to the vehicle main terminal. The parking efficiency of the car owner is improved, the risk of driving of the car owner is reduced, the experience of the car owner is improved, and the intelligent management requirement of the parking lot is met.
Drawings
In order to more clearly illustrate the embodiments of the present application 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 application, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a parking space navigation system provided in the embodiment of the present application.
Fig. 2 is a flowchart of a parking space navigation method provided in the embodiment of the present application.
Fig. 3 is a flowchart of a parking space navigation method according to a first embodiment of the present application.
Fig. 4 is a flowchart of a parking space navigation method according to a second embodiment of the present application.
Fig. 5 is a flowchart of a parking space navigation method according to a third embodiment of the present application.
Fig. 6 is a schematic view of parking space types of the parking space navigation method provided in the embodiment of the present application.
Fig. 7 is a flowchart of a parking space navigation method according to a fourth embodiment of the present application.
Fig. 8 is a flowchart of a fifth embodiment of a parking space navigation method according to an embodiment of the present application.
Fig. 9 is a schematic view of a parking space navigation device according to an embodiment of the present application.
Fig. 10 is a schematic view of a parking space determining unit of the parking space navigation device according to the embodiment of the present application.
Fig. 11 is a schematic internal structural diagram of a computer device according to an embodiment of the present application.
Fig. 12 is a schematic diagram of a computer-readable storage medium provided in an embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances, in other words that the embodiments described are to be practiced in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and any other variation thereof, may also include other things, such as processes, methods, systems, articles, or apparatus that comprise a list of steps or elements is not necessarily limited to only those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such processes, methods, articles, or apparatus.
It should be noted that the descriptions in this application referring to "first", "second", etc. are 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 one or more of that feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
Please refer to fig. 1 in combination, which is a parking space navigation system provided in the embodiment of the present application. The parking space navigation system comprises: the system comprises a vehicle owner 1001, a vehicle identification device 1002, a parking space navigation server 1003 and a sensing device 1004. The car owner 1001, the car identification device 1002 and the sensing device 1004 are all connected to the car position navigation server 1003 in a communication manner.
Please refer to fig. 2, which is a flowchart of a parking space navigation method according to an embodiment of the present application.
Step S101, when a vehicle identification sent by a vehicle identification device at the entrance of a parking lot is received, obtaining information of the vehicle in response to the vehicle identification, wherein the information of the vehicle comprises the driving level of an owner of the vehicle, and the driving level comprises the driving age, the historical parking time and the historical parking track of the owner of the vehicle. Specifically, a car owner logs in to a car owner terminal 1001 before driving into a parking lot, and the car owner terminal 1001 is in communication connection with a parking space navigation server 1003; the parking space navigation server 1003 records information of the vehicle, where the information of the vehicle includes license plate number, color of the vehicle, type of the vehicle, and the like, and the information of the vehicle further includes driving level of the vehicle owner, and the driving level further includes personal information of the vehicle owner, driving age of the vehicle owner, historical parking time and historical parking track, and the like. The driving proficiency of the car owner and the proficiency of parking and warehousing can be analyzed through the driving age of the car owner, the historical parking time and the historical parking track. The vehicle master 1001 may be an app of a smartphone, onboard software, or the like. The vehicle identification device 1002 is installed at each entrance of the parking lot, when a vehicle enters the parking lot, the vehicle identification device 1002 acquires a vehicle image and performs identification to obtain a vehicle identifier, the vehicle identifier is used for identifying the identity of the vehicle, the vehicle identification device 1002 transmits the vehicle identifier to the parking space navigation server 1003, and the parking space navigation server 1003 acquires information of the vehicle according to the vehicle identifier. The vehicle identification device 1002 may be a camera sensor, an ETC device, or the like.
And step S102, acquiring the current position information of the vehicle. Specifically, a sensing device 1004 is installed in the parking lot, and the sensing device 1004 may be a plurality of millimeter wave radars or a plurality of bluetooth devices. For example, the millimeter wave radar has a range of 100 meters, and an appropriate amount of millimeter wave radar may be installed according to the size of the parking lot, so that the millimeter wave radar may cover the entire parking lot. The sensing device 1004 obtains the current position information of the vehicle, and the parking space navigation device 1003 receives the current position information of the vehicle sent by the sensing device 1004. In this embodiment, the sensing device 1004 is a millimeter wave radar, the millimeter wave radar emits electromagnetic waves, the reflection amplitude values of objects such as people, vehicles, obstacles and the like to the electromagnetic waves are different, and the amplitude value distinguishes whether the object to be measured is a person or a vehicle. And when the vehicle or the pedestrian moves, determining the moving track of the vehicle or the pedestrian according to the parameters such as the time of obtaining the reflection of the vehicle or the pedestrian and the like. The millimeter wave radar is used for realizing the real-time positioning of the object in the underground parking lot, and further, the parking space navigation function is realized. The millimeter wave radar has strong anti-interference capability, small influence of environmental interference, simple installation and low cost.
Step S103, acquiring information of vacant parking spaces in the parking lot and road information in the parking lot, wherein the information of the vacant parking spaces comprises position information of the vacant parking spaces and the number of the vacant parking spaces. In particular, the sensing device 1004 may also include multiple cameras that cover the entire parking lot. The sensing device 1004 acquires the information of the vacant parking spaces in the parking lot and the road information in the parking lot through the millimeter wave radar and the camera, wherein the information of the vacant parking spaces in the parking lot comprises the information of the positions, the number and the like of the vacant parking spaces; the road information in the parking lot includes dynamic object information and static object information on the road. The sensing device 1004 sends out an electromagnetic wave once every preset time to determine whether the parking space is an empty parking space, or determines whether the parking space is an empty parking space through image recognition according to the parking space information shot by the camera.
And step S104, calculating a preferred parking space and a preferred navigation route according to the vehicle information, the current position information of the vehicle, the free parking space information and the road information. How to calculate a preferred parking space and a preferred navigation route according to the vehicle information, the current location information of the vehicle, the vacant parking space information, and the road information will be described in detail below.
And step S105, transmitting the preferred parking space and the preferred navigation route to a vehicle main terminal. Specifically, the parking space navigation device 1003 transmits the preferred parking space and the preferred navigation route to the vehicle owner 1001 through a wireless network.
In the above embodiment, the vehicle identification is acquired, the information of the vehicle is acquired in response to the vehicle identification, and the preferred parking space and the preferred navigation route are calculated according to the driving level of the owner, the current position information of the vehicle, the free parking space information and the road information in the information of the vehicle; and transmitting the preferred parking space and the preferred navigation route to the vehicle main terminal. The parking efficiency of the car owner is improved, the parking time of the car owner is saved, the experience feeling of the car owner is improved, and the intelligent management requirement of the parking lot is met.
Please refer to fig. 3, which is a flowchart illustrating a parking space navigation method according to a first embodiment of the present application.
And S401, calculating the parking difficulty of each vacant parking space according to the information of the vacant parking spaces. How to calculate the parking difficulty of each vacant parking space according to the vacant parking space information will be described in detail below.
Step S403, generating a plurality of reference routes according to the current position information of the vehicle and the information of the vacant parking spaces, and calculating lengths of the plurality of reference routes. Specifically, the information on the vacant parking spaces includes the number of the vacant parking spaces and the position information on each vacant parking space. And generating a plurality of reference routes according to the current position information of the vehicle and the position information of each vacant parking space, wherein one or more reference routes exist when the vehicle goes to one vacant parking space.
Step S405, calculating the route driving time of the plurality of reference routes according to the road information and the lengths of the plurality of reference routes. Specifically, the road information includes dynamic object information and static object information in the road, the dynamic object information includes vehicles, pedestrians, animals and the like, and the static object information includes a trunk, a traffic sign and the like. These objects all have an effect on the speed of the vehicle. The route travel time of the plurality of reference routes can be obtained according to the road information and the lengths of the plurality of reference routes.
Step S407, evaluating the multiple reference routes according to the road information to obtain route driving difficulty and route risk indexes of the multiple reference routes. Specifically, the route driving difficulty may be an evaluation score of multiple dimensions such as a narrow section length, a sharp bend number, a view blind area number, and the like in the road information. The route risk index may be a comprehensive assessment of the risk that a vehicle to be parked may rub, collide, etc. with vehicles, pedestrians, animals, buildings, etc. in the parking lot while driving to the parking space. The parking area has occupied the most area in parking area in order to park more vehicles, parking stall, and the road generally all is the single file, and road width is less, and not only there is the vehicle in the road, still can have pedestrian, dog etc. in addition, the vehicle takes place easily when driving the parking stall and scrapes etc.. And calculating the route driving difficulty and the route risk index of the multiple reference routes according to the dynamic object information and the static object information in the road information. The reference route with low route driving difficulty and route risk index is recommended to the vehicle owner with low driving proficiency, so that risks are avoided for the vehicle owner, and the probability of scraping and rubbing of the vehicle in the parking lot is reduced. How to evaluate the plurality of reference routes according to the road information to obtain the route driving difficulty and the route risk index of the plurality of reference routes will be described in detail below.
And step S409, evaluating the multiple reference routes according to the route driving difficulty, the route risk index, the route driving time and the parking difficulty of the corresponding vacant parking spaces to obtain multiple reference route scores. Specifically, the multiple reference routes can be evaluated according to the driving difficulty of the route, the risk index of the route, the driving time of the route and the parking difficulty of the corresponding vacant parking space corresponding to the multiple reference routes, so as to obtain the scores of the reference routes corresponding to the multiple reference routes. The reference route scoring may be an evaluation score or an evaluation grade obtained by evaluating the parking space navigation server 1003 according to the route driving difficulty, the route risk index, the route driving time, and the parking difficulty of the corresponding vacant parking space, so as to accurately evaluate the comprehensive condition of the multiple reference routes. Because the importance of the route driving difficulty, the route risk index, the route driving time and the parking difficulty of the corresponding parking space in the reference route evaluation is different, different evaluation weights can be given to the route driving difficulty, the route risk index, the route driving time and the parking difficulty of the corresponding parking space, and the reference route score corresponding to the reference route can be obtained according to the different evaluation weights. The screening of the reference route is more reasonable, and the screening of extreme routes, such as the reference route with low route risk index but too long route running time, is avoided.
And S4011, screening the plurality of reference routes according to the driving level of the vehicle owner and the reference route scores to obtain the preferred parking position line and the corresponding preferred navigation route. Specifically, according to the driving level of the vehicle owner and the reference route scoring comprehensive consideration, the optimal parking space and the optimal navigation route suitable for the vehicle owner are selected. For example, when the driving level of the vehicle owner is not high, a reference route with low driving difficulty, low risk index of the route and low parking difficulty but long running time of the route is recommended.
In the above embodiment, the plurality of reference routes are evaluated according to the route driving difficulty, the route risk index, the route driving time and the parking difficulty corresponding to the vacant parking spaces to obtain a plurality of reference route scores, and then the driving level of the vehicle owner and the reference route scores are used for screening the plurality of reference routes to obtain the optimal parking position line and the corresponding optimal navigation route. The parking space to the bottom of the car owner can be screened out quickly and safely, and the car can be parked safely and reliably. The time of the car owner is saved, and the driving risk of the car owner is reduced.
Please refer to fig. 4, which is a flowchart illustrating a parking space navigation method according to a second embodiment of the present application.
And step S402, calculating the parking difficulty of each vacant parking space according to the information of the vacant parking spaces. And calculating the parking difficulty of each vacant parking space according to the parking space size of each vacant parking space and the parking conditions on the two sides of each vacant parking space of the parking space type.
And S404, screening according to the driving level of the vehicle owner and the parking difficulty of each vacant parking space to obtain a plurality of target parking spaces. Specifically, according to the historical parking time and the historical parking track of the car owner, the parking proficiency of the car owner can be obtained, and the target parking spaces are screened out according to the parking proficiency of the car owner and the parking difficulty of the vacant parking spaces. For example, when the vehicle owner has low proficiency in parking, the vacant parking space with low difficulty in parking is selected as the target parking space.
Step S406, generating a plurality of reference routes according to the current position information of the vehicle and the position information of the target parking spaces, and calculating lengths of the plurality of reference routes. Specifically, the free parking space information includes the number of free parking spaces and position information of each free parking space. And generating a plurality of reference routes according to the current position information of the vehicle and the position information of each vacant parking space, wherein one or more reference routes exist when the vehicle goes to one vacant parking space.
Step S408, calculating the route driving time of the plurality of reference routes according to the road information and the lengths of the plurality of reference routes. Specifically, the road information includes dynamic object information and static object information in the road, the dynamic object information includes vehicles, pedestrians, animals and the like, and the static object information includes a trunk, a traffic sign and the like. These objects all have an effect on the speed of the vehicle. The route travel time of the plurality of reference routes can be obtained according to the road information and the lengths of the plurality of reference routes.
And S4010, evaluating the multiple reference routes according to the road information to obtain the route driving difficulty and the route risk index of the multiple reference routes. Specifically, the parking area is for berthhing more vehicles, and the parking stall has occupied the most area in parking area, and the road is generally the one file list, and road width is less, and in addition the road not only has the vehicle, still can have pedestrian, dog etc. and the vehicle takes place easily when driving the parking stall and scrapes etc.. And calculating the route driving difficulty and the route risk index of the multiple reference routes according to the dynamic object information and the static object information in the road information.
And S4012, evaluating the multiple reference routes according to the route driving difficulty, the route risk index and the route running time to obtain a reference route score. Specifically, because the importance of the route driving difficulty, the route risk index and the route running time is different when the reference route is evaluated, different evaluation weights can be given to the route driving difficulty, the route risk index and the route running time, and the reference route score corresponding to the reference route is obtained according to the different evaluation weights.
And S4014, screening the multiple reference routes according to the reference route scores to obtain the preferred navigation route and the corresponding preferred parking space. Specifically, a preferred parking space and a preferred navigation route are selected according to the reference route scoring comprehensive consideration. The parking space is beneficial to the car owner when parking, so that the driving risk can be reduced, the parking time can be shortened, and the parking difficulty is low. The time of the car owner is saved, the probability of car accidents is reduced, and the experience of the car owner is improved.
Please refer to fig. 5, which is a flowchart illustrating a substep of step S401 of the parking space navigation method according to an embodiment of the present application.
And S301, acquiring the parking space size and the parking space type of each vacant parking space according to the information of the vacant parking spaces. Specifically, the free parking space information includes the space size and the space type of each free parking space, where the space type is a manner in which the vehicle is parked in the space, such as fig. 6, a non-linear parking space 6001, a linear parking space 6002, a diagonal parking space 6003, and the like. The parking difficulty of each type of parking space is different, and the parking difficulty can be influenced by the size of the parking space.
And S302, obtaining parking conditions at two sides of each vacant parking space. For example, vehicles are already parked on both sides of the linear parking space 6002, and the vehicles are easily scratched on both sides when parked into the linear parking space 6002, which results in a high parking difficulty. No parking vehicles are arranged on two sides of the non-font parking space 6001, enough redundant space for the vehicles to scratch is reserved in the parking-in font parking space 6001, and the parking difficulty is low.
And S303, scoring according to the parking space size, the parking space type and the parking conditions at two sides of each vacant parking space to determine the parking difficulty. Specifically, the parking difficulty is scored according to the parking space size, the parking space type and the comprehensive consideration of the parking conditions at the two sides of each vacant parking space.
Please refer to fig. 7, which is a flowchart illustrating a sub-step of step S407 of the parking space navigation method according to an embodiment of the present disclosure.
Step S4071, the parking navigation route of the vehicle in the parking lot during parking is obtained. Specifically, the parking lot has a situation that a plurality of vehicles are parking in the way, and when calculating the route driving difficulty and the route risk index, the situation should be referred to, so that more accurate route driving difficulty and the route risk index can be obtained. Road volume congestion is avoided to a certain extent, and the parking time of the car owner is saved.
Step S4072, dynamic object information and static object information in the road in the parking lot are obtained. In particular, the road environment of the parking lot is complex, and dynamic objects such as pedestrians, vehicles, bicycles, and small animals, and static objects such as luggage and traffic warning boards may exist. These objects affect the driving of the vehicle owner, so the sensing device 1004 needs to acquire the dynamic object information and the static object information.
Step S4073, the multiple reference routes are evaluated according to the parking navigation route of the vehicle in the parking process, the dynamic object information and the static object information, and the route driving difficulty and the route risk index are obtained. Specifically, according to the various information, the calculated route driving difficulty and the route risk index are more accurate, and the screening of a priority reference route and a priority parking space in the future is facilitated.
Please refer to fig. 8, which is a flowchart illustrating a parking space navigation method according to a fifth embodiment of the present application.
Step S201, when the car owner drives according to the optimal navigation route, road information in the parking lot is obtained in real time. Particularly, the road information is acquired in real time, so that when the road information changes, the information of the change of the road information can be quickly transmitted to the vehicle owner.
Step S202, when an object influencing the normal running of the vehicle appears on the optimal navigation route, the road change information is transmitted to the vehicle main end to prompt the vehicle owner, and the vehicle main end responds and outputs information to inquire whether the vehicle owner changes the navigation route. Specifically, when an object affecting the normal running of the vehicle appears in the preferred navigation route, the parking space navigation device 1003 transmits the road change information to the vehicle main end 1001, and the vehicle main end 1001 responds and carries out voice broadcast prompting and asks the vehicle owner whether to change the navigation route or not.
Step S203, receiving information that the vehicle owner inputs and confirms to change the navigation route through the vehicle owner end, and replanning the navigation route according to the road information and the optimal parking space. Specifically, when the information that the vehicle owner confirms to change the navigation route through the input of the vehicle owner end is received, the navigation route is planned again according to the road information and the position information of the optimal parking space, objects which influence the normal running of the vehicle can be avoided, the vehicle can reach the optimal parking space as soon as possible, and the parking time of the vehicle owner is saved.
Please refer to fig. 9, which is a schematic diagram of a parking space navigation device according to an embodiment of the present disclosure.
The vehicle information acquiring unit 901 is configured to, when receiving a vehicle identifier sent by a vehicle identification device at an entrance of a parking lot, acquire information of the vehicle in response to the vehicle identifier, where the information of the vehicle includes a driving level of a vehicle owner, and the driving level includes a driving age, a historical parking time, and a historical parking trajectory of the vehicle owner. Specifically, vehicle identification devices 1002 are installed at each entrance of the parking lot, when a vehicle enters the parking lot, the vehicle identification devices 1002 acquire images of the vehicle and perform identification to obtain vehicle identifiers, the vehicle identifiers are used for identifying the vehicle, a vehicle information acquisition unit 901 receives vehicle identifier information sent by the vehicle identification devices 1002, and the vehicle information acquisition unit 901 acquires information of the vehicle according to the vehicle identifiers.
A vehicle position obtaining unit 902, configured to obtain current position information of the vehicle. Specifically, a sensing device 1004 is installed in the parking lot, and the positioning device 1004 may be a device having a positioning function, such as a plurality of millimeter wave radars or a plurality of bluetooth devices. For example, the millimeter wave radar has a range of 100 meters, and an appropriate amount of millimeter wave radar may be installed according to the size of the parking lot, so that the millimeter wave radar may cover the entire parking lot. The sensing device 1004 obtains current position information of the vehicle, and the vehicle position acquisition unit 902 receives the current position information of the vehicle transmitted by the sensing device 1004.
The parking lot information obtaining unit 903 is configured to obtain information of spare parking spaces in the parking lot and road information in the parking lot, where the information of the spare parking spaces includes position information of the spare parking spaces and the number of the spare parking spaces. In particular, the sensing device 1004 may also include multiple cameras that cover the entire parking lot. The sensing device 1004 acquires the information of the vacant parking spaces of the parking lot and the road information in the parking lot through the millimeter wave radar and the camera; the information of the vacant parking spaces in the parking lot comprises the information of the positions, the number and the like of the vacant parking spaces; the road information in the parking lot includes dynamic object information and static object information on the road. The parking lot information acquisition unit 903 receives the information on the vacant parking spaces in the parking lot and the road information in the parking lot, which are transmitted from the sensor 1004
And a parking space determining unit 904, configured to calculate a preferred parking space and a preferred navigation route according to the vehicle information, the current position information of the vehicle, the free parking space information, and the road information. As will be described in detail below.
And an information transmission unit 905, configured to transmit the preferred parking space and the preferred navigation route to a vehicle master. Specifically, the information transmission unit 905 transmits the preferred parking spaces and the preferred navigation routes screened out by the parking space determination unit 904 to the vehicle owner 1001 through the wireless network.
Please refer to fig. 10, which is a schematic diagram of a parking space determination unit 904 of a parking space navigation device according to an embodiment of the present application.
And the parking difficulty calculation unit 9041 is configured to calculate the parking difficulty of each vacant parking space according to the vacant parking space information. Specifically, the information obtaining unit 903 in the parking lot has spare parking spaces, and the spare parking space information includes the size of each spare parking space, the type of each spare parking space, and the parking situations on both sides. The parking difficulty calculation unit 9041 scores the parking difficulty according to the parking space size, the parking space type and the comprehensive consideration of the parking conditions at the two sides of each vacant parking space, so as to obtain the parking difficulty.
And the reference route length calculation unit 9042 is configured to generate multiple reference routes according to the current position information of the vehicle and the information of the vacant parking spaces, and calculate lengths of the multiple reference routes. Specifically, the information on the vacant parking spaces acquired by the in-parking-lot information acquiring unit 903 includes the number of the vacant parking spaces and position information on each vacant parking space. The reference route length calculation unit 9042 generates a plurality of reference routes according to the current position information of the vehicle acquired by the vehicle position acquisition unit 902 and the position information of each vacant parking space acquired by the in-parking-lot information acquisition unit 903, and calculates a plurality of reference route lengths, where one or more reference routes exist when the vehicle travels to one vacant parking space.
And a route running time calculation unit 9043, configured to calculate route running times of the multiple reference routes according to the road information and the multiple reference route lengths. Specifically, the route travel time calculation unit 9043 calculates the plurality of reference route lengths from the road information acquired by the parking lot information acquisition unit 903 and the reference route length calculation unit 9042. The road information comprises dynamic object information and static object information in the road, the dynamic object information comprises vehicles, pedestrians, animals and the like, and the static object information comprises a trunk, a traffic marker and the like. These objects all have an effect on the speed of the vehicle. The route travel time of the plurality of reference routes can be obtained according to the road information and the lengths of the plurality of reference routes.
And the route risk index calculation unit 9044 is configured to evaluate the multiple reference routes according to the road information to obtain route driving difficulties and route risk indexes of the multiple reference routes. Specifically, the route risk index calculation unit 9044 evaluates the plurality of reference routes calculated by the reference route length calculation unit 9042, based on the road information acquired by the parking lot information acquisition unit 903.
Wherein, the parking area is for berthhing more vehicles, and the parking stall has occupied the most area in parking area, and the road generally all is the single file, and road width is less, and not only there is the vehicle in addition the road, still can have pedestrian, dog etc. and the vehicle takes place easily when driving the parking stall and scrapes etc.. And calculating the route driving difficulty and the route risk index of the multiple reference routes according to the dynamic object information and the static object information in the road information. The reference route with low route driving difficulty and route risk index is recommended to the vehicle owner with low driving proficiency, so that risks are avoided for the vehicle owner, and the probability of scraping and rubbing of the vehicle in the parking lot is reduced.
And the score calculating unit 9045 is used for evaluating the multiple reference routes according to the route driving difficulty, the route risk index, the route driving time and the parking difficulty of the corresponding vacant parking spaces to obtain scores of the multiple reference routes. Specifically, the score calculation unit 9045 performs comprehensive evaluation on the multiple reference routes calculated by the reference route length calculation unit 9042 according to the route driving difficulty and the route risk index calculated by the route risk index calculation unit 9044, the route traveling time calculated by the route traveling time calculation unit 9043, and the parking difficulty of the corresponding parking space calculated by the parking difficulty calculation unit 9041, so as to obtain a reference route score. Because the importance of the route driving difficulty, the route risk index, the route driving time and the parking difficulty of the corresponding parking space in the reference route evaluation is different, different evaluation weights can be given to the route driving difficulty, the route risk index, the route driving time and the parking difficulty of the corresponding parking space, and the reference route score corresponding to the reference route can be obtained according to the different evaluation weights. The screening of the reference route is more reasonable, and the screening of extreme routes, such as the reference route with low route risk index but too long route running time, is avoided.
And the screening unit 9046 is configured to screen the plurality of reference routes according to the driving level of the vehicle owner and the reference route scores to obtain the preferred parking bit line and the corresponding preferred navigation route. Specifically, the screening unit 9046 selects an optimal parking space and an optimal navigation route suitable for the vehicle owner according to the driving level of the vehicle owner acquired by the vehicle information acquisition unit 901 and the reference route score comprehensive consideration calculated by the score calculation unit 9045. For example, when the driving level of the vehicle owner is not high, a reference route with low driving difficulty, low risk index of the route and low parking difficulty but long running time of the route is recommended.
Please refer to fig. 11, which is a schematic diagram of an internal structure of a computer device according to an embodiment of the present application. The computer device 200 is used for parking space navigation, and the computer device 200 includes a memory 202 and a processor 201. The memory 202 is configured to store a computer executable program, and the processor 201 is configured to execute the computer executable program to implement the parking space navigation method provided in the above embodiment.
The processor 201 may be, in some embodiments, a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor or other data Processing chip for executing computer executable programs stored in the memory 202. Specifically, the processor 201 executes an executable program to implement the parking space navigation method.
The memory 202 includes at least one type of readable storage medium including flash memory, hard disks, multi-media cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, and the like. The memory 202 may in some embodiments be an internal storage unit of the computer device 200, such as a hard disk of the computer device 200. The memory 202 may also be an external computer device 200 storage device in other embodiments, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) Card, Flash memory Card (Flash Card), etc. provided on the computer device 200. Further, the memory 202 may also include both internal and external storage units of the computer device 200. The memory 202 may be used to store not only application software installed in the computer device 200 and various data, such as codes for implementing a parking space navigation method, but also temporarily store data that has been output or will be output.
Further, the computer device 200 may also include a display component 204. The display component 204 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, and the like. The display component 204 may also be referred to as a display device or display unit, as appropriate, for displaying information processed in the computer apparatus 200 and for displaying a visualized user interface, among other things.
Further, the computer device 200 may also include a communication component 205. The communication component 205 can optionally include a wired communication component and/or a wireless communication component (e.g., WI-FI communication component, bluetooth communication component, etc.) that is typically used to establish a communication connection between the computer device 200 and other computer devices.
Fig. 11 shows only a computer device 200 having some components and implementing the parking space navigation method, and those skilled in the art will appreciate that the structure shown in fig. 11 does not constitute a limitation of the computer device 200, and may include fewer or more components than those shown, or may combine some components, or may be arranged in different components.
The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer program instructions are loaded and executed on a computer. The emulated computer device may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Please refer to fig. 12, which is a schematic diagram of a computer-readable storage medium according to an embodiment of the present application. The storage medium 300 is used for storing a parking space navigation program.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the unit is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing an emulated computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (10)
1. The parking space navigation method is characterized by comprising the following steps:
when a vehicle identifier sent by a vehicle identification device at the entrance of a parking lot is received, responding to the vehicle identifier to obtain information of the vehicle, wherein the information of the vehicle comprises the driving level of a vehicle owner, and the driving level comprises the driving age, the historical parking time and the historical parking track of the vehicle owner;
acquiring current position information of the vehicle;
acquiring information of vacant parking spaces in a parking lot and road information in the parking lot, wherein the information of the vacant parking spaces comprises position information of the vacant parking spaces and the number of the vacant parking spaces;
calculating an optimal parking space and an optimal navigation route according to the vehicle information, the current position information of the vehicle, the free parking space information and the road information;
and transmitting the preferred parking space and the preferred navigation route to a vehicle main terminal.
2. The parking space navigation method according to claim 1, wherein calculating a preferred parking space and a preferred navigation route according to the vehicle information, the current position information of the vehicle, the vacant parking space information, and the road information specifically includes:
calculating the parking difficulty of each vacant parking space according to the vacant parking space information;
generating a plurality of reference routes according to the current position information of the vehicle and the information of the vacant parking spaces, and calculating the lengths of the plurality of reference routes;
calculating the route driving time of the plurality of reference routes according to the road information and the lengths of the plurality of reference routes;
evaluating the multiple reference routes according to the road information to obtain route driving difficulty and route risk indexes of the multiple reference routes;
evaluating the multiple reference routes according to the route driving difficulty, the route risk index, the route driving time and the parking difficulty corresponding to the vacant parking spaces to obtain multiple reference route scores;
and screening the plurality of reference routes according to the driving level of the vehicle owner and the reference route scores to obtain the preferred parking bit line and the corresponding preferred navigation route.
3. The parking space navigation method according to claim 1, wherein a preferred parking space and a preferred navigation route are calculated according to the vehicle information, the current position information of the vehicle, the vacant parking space information, and the road information, and further comprising:
calculating the parking difficulty of each vacant parking space according to the vacant parking space information;
screening according to the driving level of the vehicle owner and the parking difficulty of each vacant parking space to obtain a plurality of target parking spaces;
generating a plurality of reference routes according to the current position information of the vehicle and the position information of the target parking spaces, and calculating the lengths of the reference routes;
calculating the route driving time of the plurality of reference routes according to the road information and the lengths of the plurality of reference routes;
evaluating the multiple reference routes according to the road information to obtain route driving difficulty and route risk indexes of the multiple reference routes;
evaluating the multiple reference routes according to the route driving difficulty, the route risk index and the route driving time to obtain a reference route score;
and screening the plurality of reference routes according to the reference route scores to obtain the preferred navigation route and the corresponding preferred parking space.
4. The parking space navigation method according to claim 2, wherein calculating the parking difficulty of each vacant parking space according to the information of the vacant parking spaces specifically comprises:
acquiring the parking space size and the parking space type of each vacant parking space according to the vacant parking space information;
obtaining parking conditions on two sides of each vacant parking space;
and scoring according to the parking space size, the parking space type and the parking conditions at two sides of each vacant parking space to determine the parking difficulty.
5. The parking space navigation method according to claim 2, wherein the step of evaluating the plurality of reference routes according to the road information to obtain route driving difficulty and route risk index of the plurality of reference routes comprises:
acquiring a parking navigation route of a vehicle in the parking lot during parking;
acquiring dynamic object information and static object information in a road in the parking lot;
and evaluating the plurality of reference routes according to the parking navigation route of the vehicle in the parking process, the dynamic object information and the static object information to obtain the route driving difficulty and the route risk index.
6. The parking space navigation method according to claim 1, further comprising:
when the car owner drives according to the optimal navigation route, acquiring road information in the parking lot in real time;
when an object influencing the normal running of the vehicle appears on the optimal navigation route, the road change information is transmitted to the vehicle main end to prompt the vehicle owner, and the vehicle main end responds and outputs information to inquire whether the vehicle owner changes the navigation route or not;
and receiving information for confirming that the navigation route is changed by the vehicle owner through the input of the vehicle owner end, and replanning the navigation route according to the road information and the optimal parking space.
7. The utility model provides a parking stall navigation head which characterized in that, parking stall navigation head includes:
the parking lot entrance vehicle identification device comprises a vehicle information acquisition unit, a parking lot entrance vehicle identification unit and a parking lot entrance vehicle identification unit, wherein the vehicle information acquisition unit is used for responding to a vehicle identification to acquire vehicle information, the vehicle information comprises the driving level of a vehicle owner, and the driving level comprises the driving age, the historical parking time and the historical parking track of the vehicle owner;
a vehicle position acquisition unit for acquiring current position information of the vehicle;
the parking lot information acquisition unit is used for acquiring information of spare parking spaces in the parking lot and road information in the parking lot, wherein the information of the spare parking spaces comprises position information of the spare parking spaces and the number of the spare parking spaces;
the parking space determining unit is used for calculating a preferred parking space and a preferred navigation route according to the vehicle information, the current position information of the vehicle, the free parking space information and the road information;
and the information transmission unit is used for transmitting the preferred parking space and the preferred navigation route to the vehicle main terminal.
8. The car position navigation device according to claim 7, wherein said car position determination unit comprises:
the parking difficulty calculation unit is used for calculating the parking difficulty of each vacant parking space according to the information of the vacant parking spaces;
the reference route length calculating unit is used for generating a plurality of reference routes according to the current position information of the vehicle and the information of the vacant parking spaces and calculating the lengths of the plurality of reference routes;
a route running time calculation unit for calculating the route running time of the plurality of reference routes according to the road information and the plurality of reference route lengths;
the route risk index calculation unit is used for evaluating the multiple reference routes according to the road information to obtain the route driving difficulty and the route risk index of the multiple reference routes;
the scoring calculation unit is used for evaluating the plurality of reference routes according to the route driving difficulty, the route risk index, the route running time and the parking difficulty of the corresponding vacant parking spaces to obtain a plurality of reference route scores;
and the screening unit is used for screening the plurality of reference routes according to the driving level of the vehicle owner and the reference route scores to obtain the preferred parking bit line and the corresponding preferred navigation route.
9. Computer arrangement comprising a memory, a processor and a computer program stored on the memory and running on the processor, characterized in that the steps of the parking space navigation method according to any of claims 1 to 6 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the parking space navigation method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110797808.7A CN113362644A (en) | 2021-07-14 | 2021-07-14 | Parking space navigation method, parking space navigation device and computer equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110797808.7A CN113362644A (en) | 2021-07-14 | 2021-07-14 | Parking space navigation method, parking space navigation device and computer equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113362644A true CN113362644A (en) | 2021-09-07 |
Family
ID=77539465
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110797808.7A Pending CN113362644A (en) | 2021-07-14 | 2021-07-14 | Parking space navigation method, parking space navigation device and computer equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113362644A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114067595A (en) * | 2021-10-26 | 2022-02-18 | 北京百度网讯科技有限公司 | Navigation method, navigation device and electronic equipment |
| CN114519940A (en) * | 2022-02-25 | 2022-05-20 | 北京永利信达科技有限公司 | Big data analysis method and equipment applied to intelligent parking |
| CN115019543A (en) * | 2022-05-19 | 2022-09-06 | 北京星火北斗科技有限公司 | Intelligent parking method, system, electronic equipment and readable storage medium |
| CN116153134A (en) * | 2023-03-02 | 2023-05-23 | 阿维塔科技(重庆)有限公司 | Parking stall recommendation method and device and computer readable storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105486321A (en) * | 2015-11-30 | 2016-04-13 | 北京奇虎科技有限公司 | Driving data processing method, server and vehicle-mounted intelligent device |
| CN105551301A (en) * | 2016-03-08 | 2016-05-04 | 京东方科技集团股份有限公司 | Auxiliary parking method and device used in parking lot, navigation method and terminal and navigation system |
| CN106323321A (en) * | 2016-10-21 | 2017-01-11 | 思建科技有限公司 | Vehicle navigation real-time correction method and vehicle navigation real-time correction system |
| CN107655486A (en) * | 2017-10-25 | 2018-02-02 | 长沙准光里电子科技有限公司 | A kind of cloud computing navigation system |
| CN108986527A (en) * | 2018-07-17 | 2018-12-11 | 新华三云计算技术有限公司 | A kind of parking position guiding method, device, system and electronic equipment |
| CN110264777A (en) * | 2019-06-26 | 2019-09-20 | 广州小鹏汽车科技有限公司 | Indoor vehicle air navigation aid, device, storage medium and vehicle control terminal |
| CN110503848A (en) * | 2019-07-01 | 2019-11-26 | 浙江科技学院 | A kind of best truck space guiding system in parking lot based on Internet of Things |
| CN210039126U (en) * | 2019-05-17 | 2020-02-07 | 张文超 | Intelligent parking lot management system based on mobile terminal |
| CN112037577A (en) * | 2020-09-23 | 2020-12-04 | 建信金融科技有限责任公司 | Parking lot parking space navigation method and system |
-
2021
- 2021-07-14 CN CN202110797808.7A patent/CN113362644A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105486321A (en) * | 2015-11-30 | 2016-04-13 | 北京奇虎科技有限公司 | Driving data processing method, server and vehicle-mounted intelligent device |
| CN105551301A (en) * | 2016-03-08 | 2016-05-04 | 京东方科技集团股份有限公司 | Auxiliary parking method and device used in parking lot, navigation method and terminal and navigation system |
| CN106323321A (en) * | 2016-10-21 | 2017-01-11 | 思建科技有限公司 | Vehicle navigation real-time correction method and vehicle navigation real-time correction system |
| CN107655486A (en) * | 2017-10-25 | 2018-02-02 | 长沙准光里电子科技有限公司 | A kind of cloud computing navigation system |
| CN108986527A (en) * | 2018-07-17 | 2018-12-11 | 新华三云计算技术有限公司 | A kind of parking position guiding method, device, system and electronic equipment |
| CN210039126U (en) * | 2019-05-17 | 2020-02-07 | 张文超 | Intelligent parking lot management system based on mobile terminal |
| CN110264777A (en) * | 2019-06-26 | 2019-09-20 | 广州小鹏汽车科技有限公司 | Indoor vehicle air navigation aid, device, storage medium and vehicle control terminal |
| CN110503848A (en) * | 2019-07-01 | 2019-11-26 | 浙江科技学院 | A kind of best truck space guiding system in parking lot based on Internet of Things |
| CN112037577A (en) * | 2020-09-23 | 2020-12-04 | 建信金融科技有限责任公司 | Parking lot parking space navigation method and system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114067595A (en) * | 2021-10-26 | 2022-02-18 | 北京百度网讯科技有限公司 | Navigation method, navigation device and electronic equipment |
| CN114519940A (en) * | 2022-02-25 | 2022-05-20 | 北京永利信达科技有限公司 | Big data analysis method and equipment applied to intelligent parking |
| CN115019543A (en) * | 2022-05-19 | 2022-09-06 | 北京星火北斗科技有限公司 | Intelligent parking method, system, electronic equipment and readable storage medium |
| CN115019543B (en) * | 2022-05-19 | 2023-09-22 | 北京星火北斗科技有限公司 | Intelligent parking method, system, electronic equipment and readable storage medium |
| CN116153134A (en) * | 2023-03-02 | 2023-05-23 | 阿维塔科技(重庆)有限公司 | Parking stall recommendation method and device and computer readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113362644A (en) | Parking space navigation method, parking space navigation device and computer equipment | |
| CN106097755B (en) | Method for identifying parking spaces and/or free spaces | |
| EP4075407A1 (en) | Trajectory prediction method and related device | |
| JP5989034B2 (en) | Methods for lane assignment in vehicles | |
| CN103295418B (en) | A kind of method for detecting parking stalls and parking stall measure system | |
| CN110606093A (en) | Vehicle performance evaluation method, device, equipment and storage medium | |
| CN107389085B (en) | Method and device for determining road traffic attributes, computer and storage medium | |
| US20140278840A1 (en) | Telemetry-based vehicle policy enforcement | |
| CN110816534B (en) | Vehicle lane change early warning method, device, storage medium and device | |
| EP2856452B1 (en) | Carriageway recognition | |
| CN110196429A (en) | Vehicle target recognition methods, storage medium, processor and system | |
| CN110648547A (en) | Transport infrastructure communication and control | |
| CN111881245B (en) | Method, device, equipment and storage medium for generating visibility dynamic map | |
| US9821812B2 (en) | Traffic complexity estimation | |
| CN113393700A (en) | Parking space management method, parking space management device and computer equipment | |
| CN112133104B (en) | Vehicle information detection method, device and system and storage medium | |
| CN112017428B (en) | Road side vehicle networking device, viaduct road section identification method and vehicle-mounted vehicle networking device | |
| WO2015117334A1 (en) | Garage management system and management method therefor | |
| CN112185157B (en) | Roadside parking space detection method, system, computer equipment and storage medium | |
| US20230168368A1 (en) | Guardrail estimation method based on multi-sensor data fusion, and vehicle-mounted device | |
| US20200175709A1 (en) | Method and system for trailer size estimating and monitoring | |
| CN113257036A (en) | Vehicle collision early warning method, device, equipment and storage medium | |
| CN104992560A (en) | Processing method for running route data, and server | |
| CN112216133A (en) | Information pushing method, device, equipment and medium | |
| CN115331480A (en) | Vehicle early warning method and device and computing equipment |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210907 |