CN109166344A - Parking lot car searching method and parking lot car searching device - Google Patents

Parking lot car searching method and parking lot car searching device Download PDF

Info

Publication number
CN109166344A
CN109166344A CN201811129805.0A CN201811129805A CN109166344A CN 109166344 A CN109166344 A CN 109166344A CN 201811129805 A CN201811129805 A CN 201811129805A CN 109166344 A CN109166344 A CN 109166344A
Authority
CN
China
Prior art keywords
vehicle
parking lot
shooting
motion data
underground parking
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.)
Withdrawn
Application number
CN201811129805.0A
Other languages
Chinese (zh)
Inventor
胡文波
李慰
叶柏林
余熙平
黄臻
陈弈丞
黄德波
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Eye-To-Eye (shenzhen) Cloud Technology Co Ltd
Original Assignee
Eye-To-Eye (shenzhen) Cloud Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Eye-To-Eye (shenzhen) Cloud Technology Co Ltd filed Critical Eye-To-Eye (shenzhen) Cloud Technology Co Ltd
Priority to CN201811129805.0A priority Critical patent/CN109166344A/en
Publication of CN109166344A publication Critical patent/CN109166344A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/14Traffic control systems for road vehicles indicating individual free spaces in parking areas

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The application provides parking lot car searching method and parking lot car searching device, method include: to judge whether vehicle enters underground parking;When determining vehicle and entering underground parking, video is shot according to setting means, records the exercise data of vehicle, and shoot image under setting condition;Judge whether vehicle has stopped storage;The storage if vehicle has stopped is extracted the time point being put in storage with vehicle parking and starts the exercise data for retrodicting the video of the shooting in set period of time, shooting image and vehicle;The driving trace of vehicle is formed according to exercise data;The set information in shooting video after identification extraction, set information and shooting image are corresponded into driving trace to set formal notation on driving trace, the application is able to solve the specific location that vehicle parking is forgotten after user is in Parking, and can not be effectively and the problem of quickly find vehicle.

Description

Vehicle searching method and vehicle searching device for parking lot
Technical Field
The application relates to the field of automobile data recorders, in particular to a car searching method and a car searching device for a parking lot.
Background
Automobiles are more and more important to modern life, and automobiles in cities are more and more. However, with the development of cities, there are fewer open parking lots, and underground parking lots are generally built below buildings. In the prior art, the vehicle is generally positioned in a parking lot and the current position of a user is positioned through a GPS, and then a search path is planned for the user according to the positioning of the user and the positioning of the vehicle in the parking lot, so that the position of the vehicle can be quickly found for the user, but the vehicle position is searched in the parking lot through the GPS, and the vehicle position cannot be used in an underground parking lot because the underground parking lot can prevent a vehicle recorder from receiving GPS signals and cannot record the track of the vehicle.
Disclosure of Invention
The application provides a car searching method and a car searching device for a parking lot, which can solve the problem that a user forgets a specific position where a car is parked after the car is parked in the parking lot, and cannot effectively and quickly find the car.
According to a first aspect of the present application, the present application provides a car searching method for a parking lot, the method comprising: judging whether the vehicle enters an underground parking lot; when the vehicle enters the underground parking lot, shooting a video according to a set mode, recording the motion data of the vehicle, and shooting an image under a set condition; judging whether the vehicle is parked and warehoused, if so, extracting the shot video, the shot image and the motion data of the vehicle within the reverse set time counted from the time point of the vehicle parking map library; forming a driving track of the vehicle according to the motion data; and identifying the setting information in the extracted shot video, and marking the setting information and the corresponding running track of the shot image on the running track in a set form.
Preferably, in the step of determining whether the current vehicle enters the underground parking lot, the method includes: when the current GPS signal is lost and the vehicle speed is lower than a set value, the vehicle is considered to enter an underground parking lot; or when the vehicle stops running, shooting a picture in front of the vehicle, judging whether the picture meets the characteristics of the entrance of the underground parking lot, and if so, determining that the vehicle enters the underground parking lot; or, when the user sends a signal for entering the underground parking lot through the control unit, the vehicle is considered to enter the underground parking lot.
Preferably, in the step of capturing the image under the set condition, the method includes: identifying whether the running state of the vehicle is a preset running state, wherein the preset running state comprises the following steps: at least one of turning, ascending, descending, and accelerating; and when the driving state is the preset driving state, shooting an image picture in the current driving state.
Preferably, the step of identifying the setting information in the extracted captured video includes: identifying whether the setting information in the extracted shooting video contains numerical information, letter information, area information and/or sign information; if the setting information is identified, the setting information and the corresponding time are saved.
Preferably, in the step of forming the traveling locus of the vehicle from the motion data, the step includes: the motion data comprises angular speeds which are comprehensively calculated in the three directions of the X/Y/Z axis of the vehicle, and the running track of the vehicle is formed by the direction change of the angular speeds of the vehicle in the set time interval in the X/Y/Z axis direction.
Preferably, the step of judging whether the vehicle has been parked in a garage includes: when the vehicle parks, acquiring the motion data from the last parking of the vehicle to the current parking; the motion data comprises angular speeds comprehensively calculated in the three directions of the X/Y/Z axis of the vehicle, and the driving track of the vehicle is formed by detecting the direction change of the angular speeds of the vehicle in the X/Y/Z axis direction; and if the running track of the vehicle meets the preset condition, the vehicle is considered to be parked and warehoused.
According to a second aspect of the present application, the present application provides a car device is sought in parking area, the device includes: the first judgment module is used for judging whether the vehicle enters the underground parking lot; the shooting module is used for shooting a video according to a set mode, recording motion data of the vehicle and shooting an image under a set condition when the vehicle is judged to enter the underground parking lot; the second judgment module is used for judging whether the vehicle is parked and warehoused; the extraction module is used for extracting the shot video, the shot image and the motion data of the vehicle within a reverse set time period counted from the time point when the vehicle is parked in the garage if the vehicle is parked in the garage; the track forming module is used for forming a running track of the vehicle according to the motion data; and the recognition module is used for recognizing the setting information in the extracted shooting video and marking the setting information and the corresponding driving track of the shooting image on the driving track in a set form.
Preferably, the first judging module is configured to: when the current GPS signal is lost and the vehicle speed is lower than a set value, the vehicle is considered to enter an underground parking lot; or when the vehicle stops running, shooting a picture in front of the vehicle, judging whether the picture meets the characteristics of the entrance of the underground parking lot, and if so, determining that the vehicle enters the underground parking lot; or, when the user sends a signal for entering the underground parking lot through the control unit, the vehicle is considered to enter the underground parking lot.
Preferably, the photographing module includes: an identification unit: identifying whether the running state of the vehicle is a preset running state, wherein the preset running state comprises the following steps: at least one of turning, ascending, descending, and accelerating; a shooting unit: and when the driving state is the preset driving state, shooting an image picture in the current driving state.
Preferably, the identification module is configured to: and identifying whether the setting information in the extracted shot video contains numerical information, letter information, area information and/or mark information, and if the setting information is identified, storing the setting information and the corresponding time.
Preferably, the trajectory formation module is configured to: the motion data comprises angular speeds which are comprehensively calculated in the three directions of the X/Y/Z axis of the vehicle, and the running track of the vehicle is formed by the direction change of the angular speeds of the vehicle in the set time interval in the X/Y/Z axis direction.
Preferably, the second determination module is configured to: when the vehicle parks, acquiring the motion data from the last parking of the vehicle to the current parking; the motion data includes angular velocities comprehensively calculated in three directions of an X/Y/Z axis of the vehicle, and a running track of the vehicle is formed by detecting a change in direction of the angular velocity of the vehicle in the X/Y/Z axis direction.
The beneficial effect of this application lies in: by judging whether a vehicle enters an underground parking lot, shooting videos and pictures according to a set mode when the vehicle is judged to enter a parking lot, recording the motion track of the vehicle, then judging whether the vehicle is parked and warehoused, if the vehicle is judged to be parked and warehoused, extracting the time point of the vehicle warehousing as a starting point, calculating the videos, the pictures and the motion data of the vehicle shot in the set time, forming the data into the driving track of the vehicle, then extracting the set information in the identified videos, and marking the set information and the shot pictures on the driving track in a set mode, so that when a user forgets to park a specific position of the vehicle in an unfamiliar parking lot, the general position of the vehicle can be confirmed by the formed driving track of the vehicle and the characteristic marks in the videos or the pictures shot when the vehicle is parked and warehoused, so that the user can save time and quickly find the vehicle.
Drawings
FIG. 1 is a flow chart of a parking monitoring method according to an embodiment of the present application;
fig. 2 is a schematic diagram of a parking monitoring apparatus according to another embodiment of the present application.
Detailed Description
The invention is further described below in connection with the appended drawings and exemplary embodiments, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative only and should not be construed as limiting the invention. In addition, if a detailed description of the known art is not necessary to show the features of the present invention, it is omitted.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the word "comprising" as used in the description of the invention is
The presence of stated features, integers, steps, operations, elements and/or components are meant to be excluded, but the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof is not excluded. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Referring to fig. 1, a car searching method for a parking lot according to the present application is applied to a car data recorder, and the method includes:
step S101: and judging whether the vehicle enters the underground parking lot.
In step S101, whether a vehicle enters an underground parking lot may be determined in three ways, which are as follows:
the first is that when the current GPS signal is lost and the vehicle speed is lower than the set value, the vehicle is considered to enter the underground parking lot. When a vehicle enters an underground parking lot or other places, the automobile data recorder cannot receive the GPS signal, so that the vehicle is likely to enter the underground parking lot as long as the GPS signal of the automobile data recorder is lost. In this embodiment, the set value is 40 yards.
The second is that when the vehicle stops running, a picture in front of the vehicle is taken, and whether the picture meets the characteristics of the entrance of the underground parking lot is judged, if yes, the vehicle is considered to enter the underground parking lot. Because the features at the entrance of a parking lot generally include: the parking lot comprises a parking lot entrance indication board, a parking charging post, a railing and the like, and if the image is identified to comprise the parking lot entrance indication board, the parking charging post, the railing and the like through an image identification technology, the vehicle is considered to enter the underground parking lot.
Thirdly, it is judged that the vehicle enters the underground parking lot when the user sends a signal for entering the underground parking lot through the control unit. Specifically, the user sends a signal of entering the underground parking lot to the automobile data recorder through a control device, and if the automobile data recorder receives the signal, the vehicle is considered to enter the underground parking lot.
Step S102: when the vehicle is judged to enter the underground parking lot, the video is shot according to a set mode, the motion data of the vehicle is recorded, and the image is shot under set conditions.
In this embodiment, the fact that the automobile data recorder shoots the video in the set mode means that the automobile data recorder shoots in a mode of one frame per second to synthesize a short video.
In this embodiment, the recording of the motion data of the vehicle mainly includes recording the acceleration and the angular velocity of the vehicle in the directions of the X axis, the Y axis, and the Z axis by the six-axis gyroscope.
Further, the step of capturing the image under the setting condition includes: identifying whether the running state of the vehicle is a preset running state, wherein the preset running state comprises the following steps: at least one of turning, ascending, descending, and accelerating; and when the driving state is the preset driving state, shooting an image picture in the current driving state.
That is, when the vehicle turns, goes up a slope, goes down a slope or accelerates, the images are captured while the video is captured, so that images at some key positions of the vehicle can be recorded without missing some key images.
Step S103: and judging whether the vehicle is parked or not.
In this embodiment, the determining whether the vehicle has been parked or not mainly includes: when the vehicle parks, acquiring the motion data from the last parking of the vehicle to the current parking; the motion data comprises angular speeds comprehensively calculated in the three directions of the X/Y/Z axis of the vehicle, and the driving track of the vehicle is formed by detecting the direction change of the angular speeds of the vehicle in the X/Y/Z axis direction; and if the running track of the vehicle meets the preset condition, the vehicle is considered to be parked and warehoused.
The vehicle parking and warehousing generally needs to stop twice, the first time is before the warehousing, and the second time is after the warehousing, so that the vehicle can be judged whether to successfully park and warehouse in as long as the driving track between the time periods when the vehicle parks twice is judged.
The travel locus is formed by detecting a change in direction of an angular velocity of the vehicle in the X/Y/Z axis direction. If the driving track is similar to the track which advances for a certain distance and then retreats for a certain distance and turns, the vehicle is considered to be parked and warehoused.
Step S104: and if the vehicle is parked and warehoused, extracting the shot video, the shot image and the motion data of the vehicle within a backward set time period counted from the time point when the vehicle is parked and warehoused.
In this embodiment, the step of identifying the setting information in the extracted captured video includes:
identifying whether the setting information in the extracted shooting video contains numerical information, letter information, area information and/or sign information;
if the setting information is identified, the setting information and the corresponding time are saved.
Because the parking lot has some identifiers, for example, the area D on floor 1 will be labeled as 1D, the area B on floor 2 will be labeled as 2B, etc. Recognizing the letter information and the number information can help a user to have more intuitive understanding on the driving process of the vehicle.
Step S105: and forming a running track of the vehicle according to the motion data.
In this embodiment, step S105 includes: the motion data comprises angular speeds which are comprehensively calculated in the three directions of the X/Y/Z axis of the vehicle, and the running track of the vehicle is formed by the direction change of the angular speeds of the vehicle in the set time interval in the X/Y/Z axis direction.
For example, if the direction of the vehicle angular velocity forms a certain included angle with the axis Z and the included angle is smaller, the vehicle runs in the straight line direction, and the straight-line running track of the vehicle can be simulated.
Step S106: and identifying the setting information in the extracted shot video, and marking the setting information and the corresponding running track of the shot image on the running track in a set form.
In this embodiment, the driving track of the vehicle from the parking lot entrance to the parking space can be drawn on the human-computer interaction interface through the method, the shot picture and the setting information are correspondingly displayed at the set position of the driving track according to the time of the driving track corresponding to the shot picture and the time of the driving track corresponding to the setting information, and the shot picture and the setting information are displayed on the human-computer interaction interface.
Correspondingly, referring to fig. 2 according to the functional modular thinking of the computer software, the present application provides a car searching device for a parking lot, which includes:
the first judgment module 201 is used for judging whether the vehicle enters the underground parking lot.
In this embodiment, there are three kinds of modes to judge whether the vehicle gets into underground parking garage, specifically as follows:
first, when it is determined that the current GPS signal is lost and the vehicle speed is lower than a set value, it is determined that the vehicle enters an underground parking lot. When a vehicle enters an underground parking lot or other places, the automobile data recorder cannot receive the GPS signal, so that the vehicle is likely to enter the underground parking lot as long as the GPS signal of the automobile data recorder is lost. In this embodiment, the set value is 40 yards.
The second is that when the vehicle stops running, a picture in front of the vehicle is taken, and whether the picture meets the characteristics of the entrance of the underground parking lot is judged, if yes, the vehicle is considered to enter the underground parking lot. When the vehicle stops running, a picture in front of the vehicle is shot, whether the picture meets the characteristics of the underground parking lot entrance or not is judged, and if yes, the vehicle is considered to enter the underground parking lot. Because the features at the entrance of a parking lot generally include: the parking lot comprises a parking lot entrance indication board, a parking charging post, a railing and the like, and if the image is identified to comprise the parking lot entrance indication board, the parking charging post, the railing and the like through an image identification technology, the vehicle is considered to enter the underground parking lot.
Thirdly, it is judged that the vehicle enters the underground parking lot when the user sends a signal for entering the underground parking lot through the control unit. Specifically, the user sends a signal of entering the underground parking lot to the automobile data recorder through a control device, and if the automobile data recorder receives the signal, the vehicle is considered to enter the underground parking lot.
And the shooting module 202 is used for shooting a video according to a set mode, recording the motion data of the vehicle and shooting an image under set conditions when the vehicle is judged to enter the underground parking lot.
In this embodiment, the fact that the automobile data recorder shoots the video in the set mode means that the automobile data recorder shoots in a mode of one frame per second to synthesize a short video.
In this embodiment, the recording of the motion data of the vehicle mainly includes recording the acceleration and the angular velocity of the vehicle in the directions of the X axis, the Y axis, and the Z axis by the six-axis gyroscope.
Further, the step of capturing the image under the setting condition includes: identifying whether the running state of the vehicle is a preset running state, wherein the preset running state comprises the following steps: at least one of turning, ascending, descending, and accelerating; and when the driving state is the preset driving state, shooting an image picture in the current driving state.
That is, when the vehicle turns, goes up a slope, goes down a slope or accelerates, the images are captured while the video is captured, so that images at some key positions of the vehicle can be recorded without missing some key images.
And the second judging module 203 is used for judging whether the vehicle is parked or not.
In this embodiment, the determining whether the vehicle has been parked or not mainly includes: when the vehicle parks, acquiring the motion data from the last parking of the vehicle to the current parking; the motion data comprises angular speeds comprehensively calculated in the three directions of the X/Y/Z axis of the vehicle, and the driving track of the vehicle is formed by detecting the direction change of the angular speeds of the vehicle in the X/Y/Z axis direction; and if the running track of the vehicle meets the preset condition, the vehicle is considered to be parked and warehoused.
The vehicle parking and warehousing generally needs to stop twice, the first time is before the warehousing, and the second time is after the warehousing, so that the vehicle can be judged whether to successfully park and warehouse in as long as the driving track between the time periods when the vehicle parks twice is judged.
The travel locus is formed by detecting a change in direction of an angular velocity of the vehicle in the X/Y/Z axis direction. If the driving track is similar to the track which advances for a certain distance and then retreats for a certain distance and turns, the vehicle is considered to be parked and warehoused.
And the extraction module 204 is used for extracting the shot video, the shot image and the motion data of the vehicle within a reverse set time period counted from the time point when the vehicle is parked in the garage if the vehicle is parked in the garage.
In this embodiment, the step of identifying the setting information in the extracted captured video includes:
identifying whether the setting information in the extracted shooting video contains numerical information, letter information, area information and/or sign information;
if the setting information is identified, the setting information and the corresponding time are saved.
Because the parking lot has some identifiers, for example, the area D on floor 1 will be labeled as 1D, the area B on floor 2 will be labeled as 2B, etc. Recognizing the letter information and the number information can help a user to have more intuitive understanding on the driving process of the vehicle.
And a track forming module 205 for forming a running track of the vehicle according to the motion data.
In this embodiment, the track forming module 205 includes: the motion data comprises angular speeds which are comprehensively calculated in the three directions of the X/Y/Z axis of the vehicle, and the running track of the vehicle is formed by the direction change of the angular speeds of the vehicle in the set time interval in the X/Y/Z axis direction.
For example, if the direction of the vehicle angular velocity forms a certain included angle with the axis Z and the included angle is smaller, the vehicle runs in the straight line direction, and the straight-line running track of the vehicle can be simulated.
The recognition module 206 recognizes the setting information in the extracted captured video, and marks the setting information and the corresponding driving track of the captured image on the driving track in a set form.
In this embodiment, the driving track of the vehicle from the parking lot entrance to the parking space can be drawn on the human-computer interaction interface through the method, the shot picture and the setting information are correspondingly displayed at the set position of the driving track according to the time of the driving track corresponding to the shot picture and the time of the driving track corresponding to the setting information, and the shot picture and the setting information are displayed on the human-computer interaction interface.
The working principle of the present application will be explained with reference to fig. 1 to 2.
Firstly, whether a vehicle enters a parking lot is judged, and when the vehicle enters the parking lot, videos and pictures are shot according to a set mode, and the motion track of the vehicle is recorded.
And then judging whether the vehicle is parked and stored in a warehouse or not, and when the vehicle is judged to be parked and stored in the warehouse, extracting video, images and vehicle motion data when the vehicle is stored in the warehouse, wherein the video duration can be automatically set.
Then, the driving track of the vehicle is formed according to the data, the setting information in the extracted rear video is identified, the setting information and the shot image are marked for the driving track in a setting mode, and the marking is displayed on the driving track.
The steps in the various method embodiments described above, such as the steps shown in fig. 1, are implemented when the computer program is executed by a processor. Alternatively, the processor, when executing the computer program, implements the functions of the modules/units in the above device embodiments, such as the functional modules in fig. 2.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the collecting means. For example, the computer program may be divided into modules as shown in fig. 2, and the specific functions of each module are as described above.
The device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices, and can also be a vehicle event data recorder, a motion camera and other shooting devices. The apparatus may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the schematic diagram is merely an example of a collection device and does not constitute a limitation of a collection device, and may include more or less components than those shown, or some components in combination, or different components, for example, the collection device may also include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like that is the control center for the video display device and that connects the various parts of the overall video display device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the video display apparatus by running or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The present disclosure proposes a computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, realizes the steps of the parking monitoring method as described above.
The modules/units of the apparatus may be stored in a computer-readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The beneficial effect of this application lies in: by judging whether a vehicle enters an underground parking lot, shooting videos and pictures according to a set mode when the vehicle is judged to enter a parking lot, recording the motion track of the vehicle, then judging whether the vehicle is parked and warehoused, if the vehicle is judged to be parked and warehoused, extracting the time point of the vehicle warehousing as the starting point to calculate the videos, the pictures and the motion data of the vehicle shot in the set time, then forming the data into the driving track of the vehicle, then extracting the set information in the identified videos, and marking the set information and the shot pictures on the driving track in a set mode, so that when a user forgets to park a specific position of the vehicle in an unfamiliar parking lot, the general parking position of the vehicle can be confirmed through the formed driving track of the vehicle and the videos or pictures shot when the vehicle is parked and warehoused, and the user can save time, the vehicle is found quickly.
Those skilled in the art will appreciate that all or part of the steps of the various methods in the above embodiments may be implemented by instructions associated with hardware via a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read-only memory, random access memory, magnetic or optical disk, and the like.
The foregoing is a more detailed description of the present application in connection with specific embodiments thereof, and it is not intended that the present application be limited to the specific embodiments thereof. It will be apparent to those skilled in the art from this disclosure that many more simple derivations or substitutions can be made without departing from the inventive concepts herein.

Claims (12)

1. A car searching method for a parking lot is applied to a vehicle event data recorder, and the method comprises the following steps:
judging whether the vehicle enters an underground parking lot;
when the vehicle enters the underground parking lot, shooting a video according to a set mode, recording motion data of the vehicle, and shooting an image under a set condition;
judging whether the vehicle is parked or not;
if the vehicle is parked and warehoused, extracting shot videos, shot images and motion data of the vehicle within a set time period counted from the time point when the vehicle is parked and warehoused;
forming a running track of the vehicle according to the motion data;
and identifying the setting information in the extracted shot video, and marking the setting information and the shot image on the running track in a set form corresponding to the running track.
2. The car searching method for the parking lot according to claim 1, wherein in the step of determining whether the current vehicle enters the underground parking lot, it comprises:
when the current GPS signal is lost and the vehicle speed is lower than a set value, the vehicle is considered to enter the underground parking lot; or,
when the vehicle stops running, shooting a picture in front of the vehicle, judging whether the picture meets the characteristics of an entrance of the underground parking lot, and if so, considering that the vehicle enters the underground parking lot; or,
and judging that the vehicle enters the underground parking lot when the user sends a signal of entering the underground parking lot through the control unit.
3. The car searching method for the parking lot according to claim 1, wherein in the step of photographing the image under the set condition, it comprises:
identifying whether the running state of the vehicle is a preset running state, wherein the preset running state comprises the following steps: at least one of turning, ascending, descending, and accelerating;
and when the driving state is the preset driving state, shooting an image picture under the current driving state.
4. The car searching method for a parking lot according to claim 1, wherein in the step of identifying the setting information in the extracted photographed video, it comprises:
identifying whether the set information in the shot video after extraction contains numerical information, letter information, area information and/or sign information;
and if the setting information is identified, storing the setting information and the corresponding time.
5. The car searching method for the parking lot according to claim 1, wherein in the step of forming the traveling track of the vehicle according to the motion data, it comprises:
the motion data comprises angular speeds which are comprehensively calculated in three directions of an X/Y/Z axis of the vehicle, and the running track of the vehicle is formed through the direction change of the angular speeds of the vehicle in a set time interval in the X/Y/Z axis direction.
6. The car searching method for the parking lot according to claim 1, wherein in the step of judging whether the car has been parked in the garage, the method comprises:
when the vehicle parks, acquiring motion data from the last parking of the vehicle to the current parking;
the motion data comprise angular velocities comprehensively calculated in three directions of an X/Y/Z axis of the vehicle, and a running track of the vehicle is formed by detecting the direction change of the angular velocities of the vehicle in the X/Y/Z axis direction;
and if the running track of the vehicle meets a preset condition, the vehicle is considered to be parked and put in storage.
7. A car device is sought in parking area, its characterized in that, the device includes:
the first judgment module is used for judging whether the vehicle enters the underground parking lot;
the shooting module is used for shooting a video according to a set mode, recording the motion data of the vehicle and shooting an image under a set condition when the vehicle is judged to enter the underground parking lot;
the second judgment module is used for judging whether the vehicle is parked and warehoused;
the extraction module is used for extracting the shot video, the shot image and the motion data of the vehicle within a set time period counted from the time point when the vehicle is parked in the garage if the vehicle is parked in the garage;
the track forming module is used for forming a running track of the vehicle according to the motion data;
and the recognition module is used for recognizing the setting information in the extracted shooting video and marking the setting information and the shooting image on the driving track in a set form corresponding to the driving track.
8. The car searching device for the parking lot according to claim 7, wherein the first judging module is configured to:
when the current GPS signal is lost and the vehicle speed is lower than a set value, the vehicle is considered to enter the underground parking lot; or,
when the vehicle stops running, shooting a picture in front of the vehicle, judging whether the picture meets the characteristics of an entrance of the underground parking lot, and if so, considering that the vehicle enters the underground parking lot; or,
and judging that the vehicle enters the underground parking lot when the user sends a signal of entering the underground parking lot through the control unit.
9. The car searching device for parking lot according to claim 7, wherein said photographing module further comprises:
an identification unit configured to identify whether a driving state of the vehicle is a preset driving state, wherein the preset driving state includes: at least one of turning, ascending, descending, and accelerating;
and the shooting unit is used for shooting the image picture in the current running state when the running state is the preset running state.
10. The car searching device for parking lot of claim 7, wherein the identification module is configured to: and identifying whether the setting information in the shot video after extraction contains numerical information, letter information, area information and/or mark information, and if the setting information is identified, storing the setting information and the corresponding time thereof.
11. The car searching device for parking lot of claim 7, wherein the trajectory forming module is configured to: the motion data comprises angular speeds which are comprehensively calculated in three directions of an X/Y/Z axis of the vehicle, and the running track of the vehicle is formed through the direction change of the angular speeds of the vehicle in a set time interval in the X/Y/Z axis direction.
12. The car searching device for the parking lot according to claim 7, wherein the second determining module is configured to:
when the vehicle parks, acquiring motion data from the last parking of the vehicle to the current parking;
the motion data includes angular velocities of the vehicle calculated in an integrated manner in three directions of an X/Y/Z axis, and a travel track of the vehicle is formed by detecting a change in direction of the angular velocity of the vehicle in the X/Y/Z axis direction.
CN201811129805.0A 2018-09-27 2018-09-27 Parking lot car searching method and parking lot car searching device Withdrawn CN109166344A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811129805.0A CN109166344A (en) 2018-09-27 2018-09-27 Parking lot car searching method and parking lot car searching device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811129805.0A CN109166344A (en) 2018-09-27 2018-09-27 Parking lot car searching method and parking lot car searching device

Publications (1)

Publication Number Publication Date
CN109166344A true CN109166344A (en) 2019-01-08

Family

ID=64892550

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811129805.0A Withdrawn CN109166344A (en) 2018-09-27 2018-09-27 Parking lot car searching method and parking lot car searching device

Country Status (1)

Country Link
CN (1) CN109166344A (en)

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110459072A (en) * 2019-08-05 2019-11-15 深圳市大拿科技有限公司 A kind of intelligent parking guidance method, device and system based on vehicle terminal
CN110599794A (en) * 2019-07-31 2019-12-20 广东翼卡车联网服务有限公司 Intelligent vehicle finding method and system based on Internet of vehicles
CN110889971A (en) * 2019-11-08 2020-03-17 合肥宜拾惠网络科技有限公司 Intelligent vehicle finding method and device for parking lot
CN111160480A (en) * 2019-12-31 2020-05-15 斑马网络技术有限公司 Method, device and electronic equipment for excavating entrance and exit of underground parking lot
CN112118418A (en) * 2020-03-26 2020-12-22 上汽通用五菱汽车股份有限公司 Vehicle searching method, vehicle and computer readable storage medium
CN112464796A (en) * 2020-11-25 2021-03-09 迪蒙智慧交通科技有限公司 Vehicle searching method, vehicle searching system and computer readable storage medium
CN112466154A (en) * 2020-12-18 2021-03-09 迪蒙智慧交通科技有限公司 Vehicle parking method based on heavy identification technology, monitoring device and readable storage medium
CN112509362A (en) * 2020-11-12 2021-03-16 北京邮电大学 Parking space allocation method and device
CN112950980A (en) * 2021-01-15 2021-06-11 惠州市德赛西威汽车电子股份有限公司 Intelligent car searching method for parking lot based on car body CAN data and terminal application
CN113012464A (en) * 2021-02-20 2021-06-22 腾讯科技(深圳)有限公司 Vehicle searching guiding method, device, equipment and computer readable storage medium
CN113178096A (en) * 2021-04-25 2021-07-27 前海七剑科技(深圳)有限公司 Vehicle searching method and device
CN113706730A (en) * 2021-09-03 2021-11-26 武汉瀛洲世纪科技有限公司 Unattended vehicle entrance and exit management method without using license plate recognition equipment and ETC
CN114333404A (en) * 2021-12-29 2022-04-12 阿维塔科技(重庆)有限公司 Vehicle searching method and device for parking lot, vehicle and storage medium
CN114842662A (en) * 2022-04-29 2022-08-02 重庆长安汽车股份有限公司 Vehicle searching control method for underground parking lot and readable storage medium
CN114972168A (en) * 2022-03-29 2022-08-30 深圳市顺禾电器科技有限公司 Simple real-scene vehicle searching method and system
CN115171424A (en) * 2022-06-27 2022-10-11 合众新能源汽车有限公司 Underground garage vehicle searching method and device and computer readable medium
CN115223383A (en) * 2022-06-15 2022-10-21 中国第一汽车股份有限公司 Vehicle searching method and device
CN116229753A (en) * 2021-12-03 2023-06-06 北京罗克维尔斯科技有限公司 Navigation method and device for car search
CN117152941A (en) * 2023-08-17 2023-12-01 重庆赛力斯新能源汽车设计院有限公司 Vehicle location determination method, device, electronic equipment and storage medium
CN117253376A (en) * 2023-10-13 2023-12-19 广州小鹏汽车科技有限公司 Determination method of parking space information, car search method, device, vehicle and medium
WO2025050949A1 (en) * 2023-09-08 2025-03-13 深圳引望智能技术有限公司 Positioning method and related apparatus

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000099896A (en) * 1998-09-22 2000-04-07 Denso Corp Travel path detecting device, vehicle traveling control device, and recording medium
JP2003028661A (en) * 2001-07-13 2003-01-29 Denso Corp Return route guiding device
CN101937619A (en) * 2010-09-28 2011-01-05 无锡市天业智能科技有限公司 Parking Navigation and Finding System Based on IoT Wireless Sensing and Video Perception
CN105163086A (en) * 2015-09-15 2015-12-16 莆田市云驰新能源汽车研究院有限公司 Road view sharing method and device based on automobile data recorder
CN105469462A (en) * 2015-11-19 2016-04-06 莆田市云驰新能源汽车研究院有限公司 Road view sharing method and system based on event data recorder
CN105469463A (en) * 2015-11-19 2016-04-06 莆田市云驰新能源汽车研究院有限公司 Road view sharing method and device based on event data recorder
CN105654575A (en) * 2016-01-11 2016-06-08 深圳市凯立德科技股份有限公司 Method, device and equipment for managing driving video information
CN106534734A (en) * 2015-09-11 2017-03-22 腾讯科技(深圳)有限公司 Method and device for playing video and displaying map, and data processing method and system
CN106710291A (en) * 2015-11-17 2017-05-24 腾讯科技(深圳)有限公司 Parking stall acquisition method and device of parking lot
KR101784132B1 (en) * 2017-02-20 2017-11-07 아마노코리아 주식회사 Indoor localization system for vehicle
CN107452220A (en) * 2016-05-30 2017-12-08 长城汽车股份有限公司 A kind of car-mounted terminal and intelligent vehicle-tracing system
CN107449439A (en) * 2016-05-31 2017-12-08 沈阳美行科技有限公司 The method and system of associated storage, synchronous displaying planning driving path and photo of driving a vehicle
CN108230689A (en) * 2017-12-31 2018-06-29 武汉兴火源科技有限责任公司 A kind of vehicle positioning system based on camera
CN108305499A (en) * 2016-08-25 2018-07-20 大连楼兰科技股份有限公司 Car-finding system and method based on Internet of Vehicles driving recorder

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000099896A (en) * 1998-09-22 2000-04-07 Denso Corp Travel path detecting device, vehicle traveling control device, and recording medium
JP2003028661A (en) * 2001-07-13 2003-01-29 Denso Corp Return route guiding device
CN101937619A (en) * 2010-09-28 2011-01-05 无锡市天业智能科技有限公司 Parking Navigation and Finding System Based on IoT Wireless Sensing and Video Perception
CN106534734A (en) * 2015-09-11 2017-03-22 腾讯科技(深圳)有限公司 Method and device for playing video and displaying map, and data processing method and system
CN105163086A (en) * 2015-09-15 2015-12-16 莆田市云驰新能源汽车研究院有限公司 Road view sharing method and device based on automobile data recorder
CN106710291A (en) * 2015-11-17 2017-05-24 腾讯科技(深圳)有限公司 Parking stall acquisition method and device of parking lot
CN105469462A (en) * 2015-11-19 2016-04-06 莆田市云驰新能源汽车研究院有限公司 Road view sharing method and system based on event data recorder
CN105469463A (en) * 2015-11-19 2016-04-06 莆田市云驰新能源汽车研究院有限公司 Road view sharing method and device based on event data recorder
CN105654575A (en) * 2016-01-11 2016-06-08 深圳市凯立德科技股份有限公司 Method, device and equipment for managing driving video information
CN107452220A (en) * 2016-05-30 2017-12-08 长城汽车股份有限公司 A kind of car-mounted terminal and intelligent vehicle-tracing system
CN107449439A (en) * 2016-05-31 2017-12-08 沈阳美行科技有限公司 The method and system of associated storage, synchronous displaying planning driving path and photo of driving a vehicle
CN108305499A (en) * 2016-08-25 2018-07-20 大连楼兰科技股份有限公司 Car-finding system and method based on Internet of Vehicles driving recorder
KR101784132B1 (en) * 2017-02-20 2017-11-07 아마노코리아 주식회사 Indoor localization system for vehicle
CN108230689A (en) * 2017-12-31 2018-06-29 武汉兴火源科技有限责任公司 A kind of vehicle positioning system based on camera

Cited By (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110599794A (en) * 2019-07-31 2019-12-20 广东翼卡车联网服务有限公司 Intelligent vehicle finding method and system based on Internet of vehicles
CN110599794B (en) * 2019-07-31 2021-12-28 广东翼卡车联网服务有限公司 Intelligent vehicle finding method and system based on Internet of vehicles
CN110459072A (en) * 2019-08-05 2019-11-15 深圳市大拿科技有限公司 A kind of intelligent parking guidance method, device and system based on vehicle terminal
CN110889971A (en) * 2019-11-08 2020-03-17 合肥宜拾惠网络科技有限公司 Intelligent vehicle finding method and device for parking lot
CN111160480B (en) * 2019-12-31 2023-06-23 斑马网络技术有限公司 Excavation method, device and electronic equipment for entrance and exit of underground parking lot
CN111160480A (en) * 2019-12-31 2020-05-15 斑马网络技术有限公司 Method, device and electronic equipment for excavating entrance and exit of underground parking lot
CN112118418A (en) * 2020-03-26 2020-12-22 上汽通用五菱汽车股份有限公司 Vehicle searching method, vehicle and computer readable storage medium
CN112118418B (en) * 2020-03-26 2023-05-30 上汽通用五菱汽车股份有限公司 Car searching method, car and computer readable storage medium
CN112509362B (en) * 2020-11-12 2021-12-10 北京邮电大学 Method and device for allocating parking spaces
CN112509362A (en) * 2020-11-12 2021-03-16 北京邮电大学 Parking space allocation method and device
CN112464796B (en) * 2020-11-25 2024-05-24 迪蒙智慧交通科技有限公司 Vehicle searching method, vehicle searching system and computer readable storage medium
CN112464796A (en) * 2020-11-25 2021-03-09 迪蒙智慧交通科技有限公司 Vehicle searching method, vehicle searching system and computer readable storage medium
CN112466154A (en) * 2020-12-18 2021-03-09 迪蒙智慧交通科技有限公司 Vehicle parking method based on heavy identification technology, monitoring device and readable storage medium
CN112950980A (en) * 2021-01-15 2021-06-11 惠州市德赛西威汽车电子股份有限公司 Intelligent car searching method for parking lot based on car body CAN data and terminal application
CN113012464B (en) * 2021-02-20 2022-03-22 腾讯科技(深圳)有限公司 Vehicle searching guiding method, device, equipment and computer readable storage medium
CN113012464A (en) * 2021-02-20 2021-06-22 腾讯科技(深圳)有限公司 Vehicle searching guiding method, device, equipment and computer readable storage medium
US12154431B2 (en) 2021-02-20 2024-11-26 Tencent Technology (Shenzhen) Company Limited Vehicle-searching guidance method and apparatus, terminal device, electronic device, and computer-readable storage medium
CN113178096A (en) * 2021-04-25 2021-07-27 前海七剑科技(深圳)有限公司 Vehicle searching method and device
CN113706730A (en) * 2021-09-03 2021-11-26 武汉瀛洲世纪科技有限公司 Unattended vehicle entrance and exit management method without using license plate recognition equipment and ETC
CN116229753A (en) * 2021-12-03 2023-06-06 北京罗克维尔斯科技有限公司 Navigation method and device for car search
CN114333404A (en) * 2021-12-29 2022-04-12 阿维塔科技(重庆)有限公司 Vehicle searching method and device for parking lot, vehicle and storage medium
CN114972168A (en) * 2022-03-29 2022-08-30 深圳市顺禾电器科技有限公司 Simple real-scene vehicle searching method and system
CN114842662A (en) * 2022-04-29 2022-08-02 重庆长安汽车股份有限公司 Vehicle searching control method for underground parking lot and readable storage medium
CN115223383A (en) * 2022-06-15 2022-10-21 中国第一汽车股份有限公司 Vehicle searching method and device
CN115171424A (en) * 2022-06-27 2022-10-11 合众新能源汽车有限公司 Underground garage vehicle searching method and device and computer readable medium
CN117152941A (en) * 2023-08-17 2023-12-01 重庆赛力斯新能源汽车设计院有限公司 Vehicle location determination method, device, electronic equipment and storage medium
WO2025050949A1 (en) * 2023-09-08 2025-03-13 深圳引望智能技术有限公司 Positioning method and related apparatus
CN117253376A (en) * 2023-10-13 2023-12-19 广州小鹏汽车科技有限公司 Determination method of parking space information, car search method, device, vehicle and medium

Similar Documents

Publication Publication Date Title
CN109166344A (en) Parking lot car searching method and parking lot car searching device
CN109377779A (en) Parking lot car searching method and parking lot car searching device
US11978340B2 (en) Systems and methods for identifying vehicles using wireless device identifiers
CN108389396B (en) Vehicle type matching method and device based on video and charging system
JP6109593B2 (en) Risk information processing method, apparatus and system, and program
CN112069643A (en) Automatic driving simulation scene generation method and device
CN113055823B (en) Method and device for managing shared bicycle based on road side parking
CN109035859A (en) A kind of parking position localization method and device
CN111105514B (en) Vehicle fee deduction method, device, system, equipment and storage medium
CN105702068A (en) Mobile terminal-based advanced driving assistance system
JP2014154005A (en) Danger information provision method, device, and program
CN103927508A (en) Target vehicle tracking method and device
CN113330278B (en) Navigation device, navigation method and related equipment
CN115720253A (en) Video processing method, device, vehicle and storage medium
CN110889971B (en) Intelligent vehicle finding method and device for parking lot
CN112597924B (en) Electric bicycle track tracking method, camera device and server
CN115731688B (en) A method, device and server for generating parking fence
CN117542021A (en) A vehicle control method, device, vehicle and storage medium
CN113963571B (en) Method and device for processing identification event of vehicle entering and exiting parking lot
CN116597684A (en) Indoor parking lot positioning method and device, electronic equipment and storage medium
CN113449624B (en) Method and device for determining vehicle behavior based on pedestrian re-identification
CN115965636A (en) Vehicle side view generating method and device and terminal equipment
CN115147810B (en) A method, system, device, and medium for vehicle attribute tracking in a panoramic environment.
CN116416823A (en) Method, system, medium and equipment for pre-warning collision between non-motor vehicle and pedestrian
CN115959141B (en) Method and device for identifying running state of bicycle, bicycle and storage medium

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
WW01 Invention patent application withdrawn after publication

Application publication date: 20190108

WW01 Invention patent application withdrawn after publication