CN113701765A - Offline vehicle searching method, device, equipment and storage medium - Google Patents
Offline vehicle searching method, device, equipment and storage medium Download PDFInfo
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- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
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Abstract
The invention discloses an offline car searching method, device, equipment and storage medium, comprising the following steps: when an offline car-searching mode is started, acquiring an offline navigation route map; reading first position information from the off-line navigation route map, and guiding a user to reach a first target position according to the first position information; reading vehicle position information from the offline navigation route map; determining the traveling direction of the user according to the first position information and the vehicle position information; and guiding the user to reach the vehicle position according to the off-line navigation route map and the traveling direction. The invention guides the user to reach the first target position according to the first position information in the off-line navigation road map, determines the travelling direction according to the vehicle position information and the first position information in the off-line navigation map, and guides the user to reach the vehicle position according to the travelling direction and the off-line navigation road map, thereby solving the technical problem that the vehicle cannot be accurately searched according to navigation software when no positioning signal exists in the prior art, and improving the accuracy of searching the vehicle without the positioning signal.
Description
Technical Field
The invention relates to the technical field of intelligent wearing, in particular to an offline car searching method, device, equipment and storage medium.
Background
At present, people increasingly rely on the guidance of navigation software to reach the designated place so as to realize the purpose of finding a car in a parking lot, but the navigation software smoothly completes the navigation on the premise that a positioning signal with certain strength exists, and in places without the positioning signal or with weak positioning signal, the use of the navigation software is limited, and the car finding requirement of a user cannot be met, so that how to smoothly complete car finding in places without the positioning signal or with weak positioning signal, such as an underground garage or a suburb, becomes a technical problem to be solved urgently
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide an offline vehicle searching method, device, equipment and storage medium, and aims to solve the technical problem that the prior art cannot accurately search a vehicle without a positioning signal.
In order to achieve the above object, the present invention provides an offline car-searching method, which comprises the following steps:
when an offline car-searching mode is started, acquiring an offline navigation route map;
reading first position information from the off-line navigation roadmap, and guiding a user to reach a first target position according to the first position information;
when a user reaches a first target position, reading vehicle position information from the offline navigation route map;
determining the traveling direction of the user according to the first position information and the vehicle position information;
and guiding the user to reach the vehicle position according to the off-line navigation route map and the traveling direction.
Optionally, the step of directing the user to a vehicle location according to the offline navigation roadmap and the travel direction comprises:
acquiring motion information of the user in the vehicle searching process, and determining motion step frequency according to the motion information;
and reading a sequence label from the offline navigation route map, and guiding the user to reach the vehicle position according to the motion step frequency, the sequence label and the traveling direction.
Optionally, before the step of acquiring an offline navigation roadmap when the offline vehicle-searching mode is started, the method further includes:
when the connection with the vehicle-mounted Bluetooth is disconnected, the current position information is used as vehicle position information;
acquiring acceleration and direction data of a user in the advancing process in real time;
determining a track vector of each step in the user traveling process according to the acceleration and the direction data;
and adding sequence labels to the track vector of each step according to the time sequence, and determining an off-line navigation route map according to the track vector of each step.
Optionally, the step of determining a trajectory vector of each step in the user traveling process according to the acceleration and the direction data includes:
determining step frequency information of the user according to the acceleration, and determining a travelling angle of each step in the travelling process of the user according to the step frequency information, the acceleration and the direction data;
and determining the track vector of each step in the user traveling process according to the traveling angle of each step in the user traveling process and the standard step length of the user.
Optionally, before the step of using the current location information as the vehicle location information when the connection with the onboard bluetooth is disconnected, the method further includes:
acquiring first signal intensity of a positioning signal and speed information of a vehicle in real time;
and when the first signal intensity and the speed information meet preset conditions, judging that the vehicle stops, and using the position information of the vehicle when the vehicle stops as vehicle position information.
Optionally, after the step of determining a trajectory vector of each step in the user traveling process according to the acceleration and the direction data, the method further includes:
acquiring second signal intensity of the positioning signal in real time;
and when the second signal intensity is greater than a preset intensity threshold value, setting the position information at the moment as first position information.
Optionally, before the step of determining the trajectory vector of each step in the user traveling process according to the traveling angle of each step in the user traveling process and the standard step size of the user, the method further includes:
and acquiring the total step number and the total route of the user within preset historical time, and determining the standard step length of the user according to the total step number and the total route.
In addition, in order to achieve the above object, the present invention further provides an offline car-searching device, including:
the acquisition module is used for acquiring an offline navigation route map when an offline vehicle searching mode is started;
the first guiding module is used for reading first position information from the off-line navigation roadmap and guiding a user to reach a first target position according to the first position information;
the reading module is used for reading the vehicle position information from the off-line navigation circuit diagram when the user reaches a first target position;
the determining module is used for determining the traveling direction of the user according to the first position information and the vehicle position information;
and the second guiding module is used for guiding the user to reach the vehicle position according to the off-line navigation route map and the travelling direction.
In addition, in order to achieve the above object, the present invention further provides an offline car-searching apparatus, including: the off-line vehicle searching program comprises a memory, a processor and an off-line vehicle searching program which is stored on the memory and can run on the processor, wherein the off-line vehicle searching program is configured to realize the steps of the off-line vehicle searching method.
In addition, in order to achieve the above object, the present invention further provides a storage medium, wherein the storage medium stores an offline car-searching program, and the offline car-searching program, when executed by a processor, implements the steps of the offline car-searching method as described above.
When an offline car-searching mode is started, an offline navigation route map is obtained; reading first position information from the off-line navigation roadmap, and guiding a user to reach a first target position according to the first position information; when a user reaches a first target position, reading vehicle position information from the offline navigation route map; determining the traveling direction of the user according to the first position information and the vehicle position information; and guiding the user to reach the vehicle position according to the off-line navigation route map and the traveling direction. The invention guides the user to reach the first target position according to the first position information in the off-line navigation road map, determines the travelling direction according to the vehicle position information and the first position information in the off-line navigation map, and guides the user to reach the vehicle position according to the travelling direction and the off-line navigation road map, thereby solving the technical problem that the vehicle cannot be accurately searched according to navigation software when no positioning signal exists in the prior art, and improving the accuracy of searching the vehicle without the positioning signal.
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FIG. 1 is a schematic structural diagram of an offline car-searching device in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of the offline car-searching method according to the present invention;
FIG. 3 is a schematic flow chart of a second embodiment of the off-line vehicle searching method of the present invention;
FIG. 4 is a schematic flow chart of a third embodiment of the offline car-searching method according to the present invention;
fig. 5 is a block diagram of the offline car-searching device according to the first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an offline car-searching device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the offline car-searching apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the off-line vehicle locating apparatus and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include an operating system, a network communication module, a user interface module, and an offline car-finding program therein.
In the offline car-finding apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the offline car-searching device according to the present invention may be disposed in the offline car-searching device, and the offline car-searching device calls the offline car-searching program stored in the memory 1005 through the processor 1001 and executes the offline car-searching method according to the embodiment of the present invention.
An embodiment of the invention provides an offline car searching method, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the offline car searching method.
In this embodiment, the offline car-searching method includes the following steps:
step S10: and when the off-line vehicle searching mode is started, obtaining an off-line navigation route map.
It should be noted that the execution main body of the present embodiment may be a computing service device having data processing, network communication, and program running functions, such as a smart band, a smart watch, a mobile phone, or an electronic device, a wearable device, etc. capable of implementing the above functions, and the present embodiment and each of the following embodiments are described below by taking the smart watch as an example.
It should be understood that the method of this embodiment may be applied to the hongmeng system, the android system, and the IOS system, and without limitation, a plurality of modes are set in the smart watch, such as an offline vehicle-searching mode, an online vehicle-searching mode, and the like, where the offline vehicle-searching mode is a mode for searching for a vehicle without a positioning signal navigation; the off-line car searching mode can be manually selected and started by a user, the off-line car searching mode can be automatically started by voice control, for example, the user shops in a shopping mall, the car is parked in an underground garage, the intelligent watch automatically starts the off-line car searching mode when the distance between the user and the elevator is detected to be smaller than a preset distance and the distance gradually decreases, and the off-line car searching mode is started specifically in what way, so that the embodiment does not limit the mode.
It can be understood that the offline navigation circuit diagram is a navigation circuit diagram drawn by the smart watch in a preset coordinate system according to a motion track of the user in an area without a positioning signal after the user finishes parking, where the preset coordinate system may be a geodetic coordinate system.
Step S20: and reading first position information from the off-line navigation roadmap, and guiding a user to reach a first target position according to the first position information.
It should be understood that the first location information includes a relative direction and a relative angle of the first location to the vehicle location, and the first location information may be determined by at least one of: (1) the method comprises the steps that calibration operation of a user is received, position information calibrated by the user is used as first position information, for example, when the user arrives at a certain eye-catching reference object or the user arrives at a certain elevator entrance, calibration operation is executed, the intelligent watch receives the position information calibrated by the user, and the position information is used as the first position information; (2) the smart watch continuously detects the signal intensity of the positioning signal, when the signal intensity of the positioning signal is greater than a preset signal intensity threshold and the signal intensity is maintained for a certain time or is greater than the signal intensity, the position information of the position is used as first position information, after the first position information is determined, the smart watch finishes drawing an offline navigation route map, the first position information is used as an end point of the offline navigation route map, and how to determine the first position information is specifically, which is not limited in this embodiment.
It can be understood that the offline navigation roadmap includes first location information, and after the first location information is read from the offline navigation roadmap, when there is a positioning signal, the user can be guided to reach the first target location through online navigation of the smart watch, for example, the user is guided to reach the first target location through beidou navigation or GPS navigation; when no positioning signal exists, the intelligent watch determines the traveling direction according to the built-in compass and guides the user to reach the first target position.
Step S30: and when the user reaches the first target position, reading the vehicle position information from the offline navigation route map.
It should be understood that the vehicle position information is calibration information, a position point may be randomly selected in a preset coordinate system when the vehicle completes parking, the smart watch obtains orientation data of the user when the vehicle completes parking through a built-in direction indicating device (such as a compass), and the orientation data is added to the position point as the vehicle position information, and the vehicle position information may be determined through at least one of the following manners: (1) the intelligent watch is connected with the vehicle-mounted Bluetooth, when the vehicle stops, the connection between the intelligent watch and the vehicle-mounted Bluetooth is disconnected, azimuth data of a user is obtained when the connection is disconnected, the azimuth data is added into position point information selected in a preset coordinate system, and the position point information is set as vehicle position information; (2) the smart watch detects the signal intensity of the positioning signal and the vehicle speed of the vehicle, acquires the orientation data of the user when the signal intensity is smaller than a preset signal intensity threshold and the vehicle speed is zero, adds the orientation data to the position point information selected in the preset coordinate system, sets the information of the position point as the vehicle position information, and determines the specific type of the vehicle position information, which is not limited in this embodiment.
Step S40: and determining the traveling direction of the user according to the first position information and the vehicle position information.
It can be understood that the relative position of the vehicle and the user can be obtained according to the first position information and the vehicle position information, and the intelligent watch determines the traveling direction of the vehicle searched by the user according to the relative position.
Step S50: and guiding the user to reach the vehicle position according to the off-line navigation route map and the traveling direction.
It should be understood that the smart watch guides the user to the vehicle position according to the off-line navigation route map and the traveling direction, and the smart watch can guide the user to the vehicle position according to the built-in compass and the traveling direction and the motion track contained in the off-line navigation map, so as to realize off-line vehicle searching.
Further, in order to improve the efficiency of searching for a vehicle without a positioning signal, the step S50 includes: acquiring motion information of the user in the vehicle searching process, and determining motion step frequency according to the motion information; and reading a sequence label from the offline navigation route map, and guiding the user to reach the vehicle position according to the motion step frequency, the sequence label and the traveling direction.
It should be understood that the exercise information includes an acceleration of the exercise and a speed of the exercise, wherein the acceleration can be measured by a four-axis acceleration sensor built in the smart watch, during the exercise, the arm of the user swings to generate the acceleration, the generated acceleration is put in a time acceleration coordinate system to be similar to a cosine function waveform, and a step frequency of the exercise of the user is determined by the fact that the two adjacent wave crests of the waveform are equivalent to the step of the user, wherein the step frequency of the exercise includes a starting moment of each step of the user.
It can be understood that the sequence label is a label added to each step of the user according to a time sequence when the offline navigation route map is drawn by the smart watch, for example, the sequence label added to the first step of the user according to the time sequence is "1", the sequence label added to the second step is "2", and the rest are similar to each other, and will not be described herein again.
It should be understood that the sequence tags are read during the car searching process of the user, the track vector of each step when the user draws the off-line navigation map can be obtained according to the sequence tags, and the user is guided to reach the position of the vehicle according to the motion step frequency, the sequence tags and the traveling direction.
It can be understood that, in order to provide more choices for the user, when the user finds a vehicle, if the user arrives at a location other than the first target location, the smart watch may obtain a distance between the current location and the first target location and a relative direction with respect to the first target location, add the current location of the user to the offline navigation roadmap according to the distance and the relative direction, thereby obtain a relative direction with respect to the vehicle location, and obtain a traveling direction with respect to the relative direction, so as to guide the user to find the vehicle.
It can be understood that, in order to further improve the efficiency of offline car finding, after a user reaches a first target position, the traveling direction of the user is determined according to the first position information and the vehicle position information, at this time, a compass built in the smart watch guides the user to move towards the traveling direction, the smart watch records the moving step number of the user in the moving process of the user, the moving distance of the user is determined according to the moving step number and the standard step length of the user, the step number of the user reaching the first target position after parking can be obtained according to a sequence tag in an offline navigation map, the standard step length of the user is multiplied by the step number to obtain the distance of the user reaching the first target position after parking, the user is guided to reach the vehicle position according to the moving distance and the traveling distance of the user, wherein the user reaching the vehicle position can be determined when the moving distance and the traveling distance are equal, or when the absolute value of the difference value between the moving distance and the walking distance is smaller than a preset threshold value, determining that the user reaches the position of the vehicle, wherein the standard step length can be determined in the following way: the smart watch obtains the total step number and the total route of the user walking in the preset historical event, the average step length of the user in the preset historical event can be obtained by using the total route in the total step number, the average step length is used as the standard step length of the user, the size of the preset threshold value can be determined according to a specific scene, and the embodiment is not limited to this.
In the concrete implementation, the acceleration of the user in the car searching process is obtained, the starting time of each step of the user in the motion process is determined according to the acceleration, determining a traveling direction of the user based on the first location information and the vehicle location information when the user reaches the first target location, reading sequence tags from an offline navigation roadmap, assuming that n sequence tags are shared, obtaining a track vector of each step of the user when the intelligent watch draws an off-line navigation route map according to the sequence labels, when a user starts to search a car, a vector with the opposite direction of the track vector corresponding to the nth sequence label is used as a guide track of the first step of the user, a vector with the opposite direction of the track vector corresponding to the (n-1) th sequence label is used as a guide track of the second step of the user, and guiding the user to reach the vehicle position according to the guiding track and the traveling direction of each step in the vehicle searching process.
In the embodiment, when the off-line vehicle searching mode is started, an off-line navigation route map is obtained; reading first position information from the off-line navigation roadmap, and guiding a user to reach a first target position according to the first position information; when a user reaches a first target position, reading vehicle position information from the offline navigation route map; determining the traveling direction of the user according to the first position information and the vehicle position information; and guiding the user to reach the vehicle position according to the off-line navigation route map and the traveling direction. According to the embodiment, the user is guided to reach the first target position according to the first position information in the off-line navigation route map, the travelling direction for the user is determined according to the vehicle position information and the first position information in the off-line navigation map, and the user is guided to reach the vehicle position according to the travelling direction and the off-line navigation route map, so that the technical problem that the vehicle cannot be accurately searched according to navigation software when no positioning signal exists in the prior art is solved, and the accuracy of searching the vehicle without the positioning signal is improved.
Referring to fig. 3, fig. 3 is a schematic flow chart of a second embodiment of the offline car-searching method according to the present invention.
Based on the first embodiment, in this embodiment, before the step S10, the method further includes:
step S01: and when the connection with the vehicle-mounted Bluetooth is disconnected, the current position information is used as the vehicle position information.
It should be understood that, the smart watch is connected with the vehicle-mounted bluetooth, when the vehicle stops, the vehicle stops and powers off, at this time, the connection between the vehicle-mounted bluetooth and the smart watch is disconnected, which indicates that the user stops, at this time, the smart watch obtains the current orientation data of the vehicle user through a built-in direction indicating device (such as a compass), randomly selects a position point in a preset coordinate system, adds the current orientation data of the user to the position point information, and uses the position point information as the vehicle position information.
Step S02: and acquiring acceleration and direction data of the user in the traveling process in real time.
It can be understood that the built-in sensor of the smart watch can collect acceleration and direction data of the user in the traveling process, wherein the direction data is magnetic field intensity data.
Step S03: and determining the track vector of each step in the user traveling process according to the acceleration and the direction data.
It should be understood that the travel angle of each step in the user travel process can be determined according to the acceleration and direction data through a preset formula, and the track vector of each step is determined according to the travel direction of each step of the user and the standard step length of the user, wherein the preset formula is as follows:
wherein B is a traveling angle; a. thex、Ay、AzRespectively are magnetic field intensity data along the directions of x, y and z axes in a preset coordinate system; a isx、ay、azAcceleration along the x, y, z axis directions, respectively; g is the acceleration of gravity.
Step S04: and adding sequence labels to the track vector of each step according to the time sequence, and determining an off-line navigation route map according to the track vector of each step.
It is understood that, according to the chronological order, sequence labels are added to the track vectors of each step, for example, the sequence label is added to the track vector of the first step as "1", the sequence label is added to the track vector of the second step as "2", and so on until all the track vectors are added with the vector labels.
It should be understood that the track vector of each step of the user has a magnitude and a direction, and the off-line navigation route map can be obtained by connecting the track vectors of each step end to end according to a time sequence or a sequence label.
Further, in order to improve the accuracy of the offline navigation roadmap, the step S03 includes: determining step frequency information of the user according to the acceleration, and determining a travelling angle of each step in the travelling process of the user according to the step frequency information, the acceleration and the direction data; and determining the track vector of each step in the user traveling process according to the traveling angle of each step in the user traveling process and the standard step length of the user.
It should be understood that the acceleration can be measured by a four-axis acceleration sensor built in the smart watch, during the movement of the user, the arm swings to generate the acceleration, the generated acceleration is put in a time acceleration coordinate system to be similar to a cosine function waveform, and the interval between two adjacent wave crests of the waveform is equivalent to one step of the user, so that the step frequency information of the user is determined, wherein the step frequency information comprises the starting time of each step in the movement of the user.
In the specific implementation, the smart watch determines the starting time of each step in the advancing process of the user according to the acceleration, the starting time of each step is taken as the starting point of the track vector of each step, the advancing angle of each step is taken as the direction of the track vector, the standard step length of the user is taken as the size of the track vector, and the track vector of each step in the advancing process of the user can be obtained.
Further, in order to improve the efficiency of offline vehicle searching, after the step of determining the trajectory vector of each step in the user traveling process according to the acceleration and the direction data, the method further comprises: acquiring second signal intensity of the positioning signal in real time; and when the second signal intensity is greater than a preset intensity threshold value, setting the position information at the moment as first position information.
It should be understood that the smart watch can obtain the signal strength of the positioning signal in real time, where the positioning signal may be a beidou positioning signal, a GPS positioning signal, or another positioning signal, and when the second signal strength is greater than a preset strength threshold, it indicates that the user reaches an area with the positioning signal, and an offline navigation route map does not need to be drawn, and the smart watch obtains the location information of the user at that time, and uses the location information as the first location information.
It is understood that the positioning signal may have the second signal strength greater than the preset strength threshold value within a short period of time, and then the positioning signal disappears or weakens below the preset strength threshold value, to avoid this, the smart watch acquires the time when the second signal strength is greater than the preset strength threshold value, and sets a time threshold value, and when the time is greater than the time threshold value, the smart watch acquires the position information of the user at that time, and uses the position information as the first position information.
Further, in order to improve the accuracy of the trajectory vector, before the step of determining the trajectory vector of each step in the user traveling process according to the traveling angle of each step in the user traveling process and the standard step size of the user, the method further includes: and acquiring the total step number and the total route of the user within preset historical time, and determining the standard step length of the user according to the total step number and the total route.
It should be understood that, in the process of traveling, the step length of each step may change, but when the same person walks normally, the step length change is not large, the smart watch obtains the total number of steps and the total route of the user walking in the preset historical event, the average step length of the user in the preset historical event can be obtained by using the total number of steps of the total route, and the average step length is used as the standard step length of the user.
When the connection with the vehicle-mounted Bluetooth is disconnected, the current position information is used as the vehicle position information; acquiring acceleration and direction data of a user in the advancing process in real time; determining a track vector of each step in the user traveling process according to the acceleration and the direction data; and adding sequence labels to the track vector of each step according to the time sequence, and determining an off-line navigation route map according to the track vector of each step. In the embodiment, the position information of the user at the moment of disconnection from the vehicle-mounted Bluetooth is used as the vehicle position information, the track vector of each step of the user is determined according to the acceleration and direction data of the user in the advancing process, and the off-line navigation route map is determined according to the track vector of each step, so that the technical problem that the route map cannot be drawn when no positioning signal exists in the prior art is solved, and the precision of drawing the navigation route map without the positioning signal is improved.
Referring to fig. 4, fig. 4 is a schematic flow chart of a third embodiment of the offline car-searching method according to the present invention.
Based on the foregoing embodiments, in this embodiment, before the step S01, the method further includes:
step S1: and acquiring the first signal intensity of the positioning signal and the speed information of the vehicle in real time.
It should be understood that the smart watch can obtain the signal strength of the positioning signal and use the obtained signal strength as the first signal strength, the smart watch can obtain the speed information of the wearing user through the built-in sensor, and the speed information of the user can represent the speed information of the vehicle because the vehicle and the user are relatively still during the vehicle traveling.
Step S2: and when the first signal intensity and the speed information meet preset conditions, judging that the vehicle stops, and using the position information of the vehicle when the vehicle stops as vehicle position information.
It is understood that the preset conditions may be set according to specific scenarios, for example, the preset conditions are set as: the duration of the first signal intensity being smaller than the preset signal intensity threshold value is larger than the preset time threshold value and the speed information of the vehicle indicates that the vehicle speed is zero.
It can be understood that when the first signal strength and the speed information meet the preset conditions, it indicates that the vehicle is parked and no positioning signal or the positioning signal in the parking area is weak enough to meet the navigation requirement, and at this time, the position information of the vehicle when the vehicle is parked is used as the vehicle position information.
The embodiment acquires the first signal intensity of the positioning signal and the speed information of the vehicle in real time; and when the first signal intensity and the speed information meet preset conditions, judging that the vehicle stops, and using the position information of the vehicle when the vehicle stops as vehicle position information. The accuracy of the vehicle position information is improved.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium stores an offline car-searching program, and the offline car-searching program, when executed by a processor, implements the steps of the offline car-searching method described above.
Referring to fig. 5, fig. 5 is a block diagram illustrating a first embodiment of the offline car-searching device according to the present invention.
As shown in fig. 5, the offline car-searching device according to the embodiment of the present invention includes: the system comprises an acquisition module 10, a first directing module 20, a reading module 30, a determination module 40 and a second directing module 50.
The acquisition module 10 is configured to acquire an offline navigation roadmap when the offline car-searching mode is started;
a first guiding module 20, configured to read first location information from the offline navigation roadmap, and guide the user to reach a first target location according to the first location information;
a reading module 30, configured to read vehicle position information from the offline navigation route map when the user reaches the first target position;
a determining module 40, configured to determine a traveling direction of the user according to the first location information and the vehicle location information;
a second guiding module 50 for guiding the user to a vehicle location according to the offline navigation roadmap and the travel direction.
The obtaining module 10 of this embodiment obtains an offline navigation route map when the offline car-searching mode is started; the first guiding module 20 reads first location information from the offline navigation roadmap, and guides the user to reach a first target location according to the first location information; the reading module 30 reads the vehicle position information from the offline navigation route map when the user reaches the first target position; the determining module 40 determines the traveling direction of the user according to the first position information and the vehicle position information; the second direction module 50 directs the user to a vehicle location according to the offline navigation roadmap and the travel direction. According to the embodiment, the user is guided to reach the first target position according to the first position information in the off-line navigation route map, the travelling direction for the user is determined according to the vehicle position information and the first position information in the off-line navigation map, and the user is guided to reach the vehicle position according to the travelling direction and the off-line navigation route map, so that the technical problem that the vehicle cannot be accurately searched according to navigation software when no positioning signal exists in the prior art is solved, and the accuracy of searching the vehicle without the positioning signal is improved.
Based on the first embodiment of the offline car-searching device, a second embodiment of the offline car-searching device is provided.
In this embodiment, the second directing module 50 is further configured to obtain motion information of the user in the car searching process, and determine a motion step frequency according to the motion information; and reading a sequence label from the offline navigation route map, and guiding the user to reach the vehicle position according to the motion step frequency, the sequence label and the traveling direction.
The acquiring module 10 is further configured to use the current position information as vehicle position information when the connection with the vehicle-mounted bluetooth is disconnected; acquiring acceleration and direction data of a user in the advancing process in real time; determining a track vector of each step in the user traveling process according to the acceleration and the direction data; and adding sequence labels to the track vector of each step according to the time sequence, and determining an off-line navigation route map according to the track vector of each step.
The obtaining module 10 is further configured to determine step frequency information of the user according to the acceleration, and determine a travel angle of each step in a travel process of the user according to the step frequency information, the acceleration, and the direction data; and determining the track vector of each step in the user traveling process according to the traveling angle of each step in the user traveling process and the standard step length of the user.
The acquiring module 10 is further configured to acquire a first signal strength of the positioning signal and speed information of the vehicle in real time; and when the first signal intensity and the speed information meet preset conditions, judging that the vehicle stops, and using the position information of the vehicle when the vehicle stops as vehicle position information.
The acquiring module 10 is further configured to acquire a second signal strength of the positioning signal in real time; and when the second signal intensity is greater than a preset intensity threshold value, setting the position information at the moment as first position information.
The obtaining module 10 is further configured to obtain a total step count and a total route of the user within a preset historical time, and determine a standard step length of the user according to the total step count and the total route.
Other embodiments or specific implementation manners of the offline car-searching device of the invention can refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., a rom/ram, a magnetic disk, an optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An off-line vehicle searching method is characterized by comprising the following steps:
when an offline car-searching mode is started, acquiring an offline navigation route map;
reading first position information from the off-line navigation roadmap, and guiding a user to reach a first target position according to the first position information;
when a user reaches a first target position, reading vehicle position information from the offline navigation route map;
determining the traveling direction of the user according to the first position information and the vehicle position information;
and guiding the user to reach the vehicle position according to the off-line navigation route map and the traveling direction.
2. The method of claim 1, wherein the step of directing the user to a vehicle location based on the offline navigation roadmap and the travel direction comprises:
acquiring motion information of the user in the vehicle searching process, and determining motion step frequency according to the motion information;
and reading a sequence label from the offline navigation route map, and guiding the user to reach the vehicle position according to the motion step frequency, the sequence label and the traveling direction.
3. The method of claim 1, wherein prior to the step of obtaining an offline navigation roadmap when the offline pick-up mode is enabled, the method further comprises:
when the connection with the vehicle-mounted Bluetooth is disconnected, the current position information is used as vehicle position information;
acquiring acceleration and direction data of a user in the advancing process in real time;
determining a track vector of each step in the user traveling process according to the acceleration and the direction data;
and adding sequence labels to the track vector of each step according to the time sequence, and determining an off-line navigation route map according to the track vector of each step.
4. The method of claim 3, wherein the step of determining a trajectory vector for each step in the user's travel based on the acceleration and the directional data comprises:
determining step frequency information of the user according to the acceleration, and determining a travelling angle of each step in the travelling process of the user according to the step frequency information, the acceleration and the direction data;
and determining the track vector of each step in the user traveling process according to the traveling angle of each step in the user traveling process and the standard step length of the user.
5. The method of claim 3, wherein the step of using the current location information as the vehicle location information when the connection with the onboard Bluetooth is disconnected further comprises:
acquiring first signal intensity of a positioning signal and speed information of a vehicle in real time;
and when the first signal intensity and the speed information meet preset conditions, judging that the vehicle stops, and using the position information of the vehicle when the vehicle stops as vehicle position information.
6. The method of claim 3 or 4, wherein after the step of determining a trajectory vector for each step in the user's travel process based on the acceleration and the directional data, the method further comprises:
acquiring second signal intensity of the positioning signal in real time;
and when the second signal intensity is greater than a preset intensity threshold value, setting the position information at the moment as first position information.
7. The method of claim 4, wherein prior to the step of determining a trajectory vector for each step of the user's travel based on the travel angle for each step of the user's travel and the standard step size for the user, the method further comprises:
and acquiring the total step number and the total route of the user within preset historical time, and determining the standard step length of the user according to the total step number and the total route.
8. An off-line vehicle locating device, characterized in that the device comprises:
the acquisition module is used for acquiring an offline navigation route map when an offline vehicle searching mode is started;
the first guiding module is used for reading first position information from the off-line navigation roadmap and guiding a user to reach a first target position according to the first position information;
the reading module is used for reading the vehicle position information from the off-line navigation circuit diagram when the user reaches a first target position;
the determining module is used for determining the traveling direction of the user according to the first position information and the vehicle position information;
and the second guiding module is used for guiding the user to reach the vehicle position according to the off-line navigation route map and the travelling direction.
9. An offline car-finding apparatus, characterized in that the apparatus comprises: a memory, a processor and an offline car-finding program stored on the memory and executable on the processor, the offline car-finding program being configured to implement the steps of the offline car-finding method according to any one of claims 1 to 7.
10. A storage medium having an offline car-searching program stored thereon, wherein the offline car-searching program, when executed by a processor, implements the steps of the offline car-searching method according to any one of claims 1 to 7.
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| CN202110834954.2A CN113701765A (en) | 2021-07-22 | 2021-07-22 | Offline vehicle searching method, device, equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115019537A (en) * | 2022-06-20 | 2022-09-06 | 芜湖宏景电子股份有限公司 | Intelligent navigation system applied to low-quality network condition |
| CN116466382A (en) * | 2023-04-24 | 2023-07-21 | 贵州一招信息技术有限公司 | GPS-based high-precision real-time positioning system |
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2021
- 2021-07-22 CN CN202110834954.2A patent/CN113701765A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115019537A (en) * | 2022-06-20 | 2022-09-06 | 芜湖宏景电子股份有限公司 | Intelligent navigation system applied to low-quality network condition |
| CN115019537B (en) * | 2022-06-20 | 2023-11-14 | 芜湖宏景电子股份有限公司 | Intelligent navigation system applied to low-quality network condition |
| CN116466382A (en) * | 2023-04-24 | 2023-07-21 | 贵州一招信息技术有限公司 | GPS-based high-precision real-time positioning system |
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