CN109547914B

CN109547914B - Method, device and terminal for determining position area in carriage and providing position service

Info

Publication number: CN109547914B
Application number: CN201710661197.7A
Authority: CN
Inventors: 吴云崇; 闵万里
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2017-08-04
Filing date: 2017-08-04
Publication date: 2021-11-30
Anticipated expiration: 2037-08-04
Also published as: CN109547914A; WO2019024752A1

Abstract

A method, device and terminal for determining a position area in a carriage and providing position service, wherein a carriage positioning device determines the space distribution characteristics of a satellite signal at the current position; the compartment positioning device matches the determined spatial distribution characteristics with expected characteristics corresponding to a set compartment internal position area, wherein the expected characteristics refer to spatial distribution characteristics of expected satellite signals; and the compartment positioning device determines the compartment position area corresponding to the matched expected characteristics as the compartment position area where the compartment positioning device is located currently. The carriage positioning device can be a terminal, and position service can be provided by adopting a corresponding position service mode after the position area in the carriage where the terminal is located is determined. The method and the device can realize in-vehicle positioning without additional conditions and can meet the requirement of personalized position service.

Description

Method, device and terminal for determining position area in carriage and providing position service

Technical Field

The present invention relates to positioning technologies, and in particular, to a method, an apparatus, and a terminal for determining a location area in a vehicle cabin, and a method and a terminal for providing a location service.

Background

The Global Navigation Satellite System (GNSS) generally refers to all Satellite Navigation systems including Global, regional, and enhanced, such as the united states Global Positioning System (GPS), the russian GLONASS (GLONASS) SATELLITE SYSTEM, the European Galileo (Galileo), the chinese beidou Satellite Navigation System, and related enhanced systems, such as the united states Wide Area Augmentation System (WAAS) the European Geostationary Navigation Overlay System (EGNOS), the European Geostationary Navigation Overlay Service (European), and the japanese Multi-Functional transport Satellite Augmentation System (MSAS), and the like, and also covers other Satellite Navigation systems under construction and later to be constructed. The Assisted Global Positioning System (AGPS) is a kind of GPS operation method. The method can utilize the information of the mobile phone base station and match with the traditional GPS satellite to make the positioning speed faster.

The positioning algorithm is applied to the aspects of life, serves as a basic service, and meets the basic requirements of people on traffic supervision, navigation and the like. Terminals such as mobile phones with GNSS and AGPS positioning functions have become main carriers for mass users to meet daily positioning requirements.

Precise location of a location area within the cabin of an outdoor vehicle is also an integral part of the location algorithm.

In the related art, in order to obtain a location area of a person in a vehicle cabin, a first way is to manually input location information, but this way is not intelligent and friendly enough. The second mode is to realize the perception of the user position through the interconnection of the automobile seat sensor and the automobile and the mobile phone, namely, the automobile seat sensor obtains the passenger position information, and the terminal installed on the automobile obtains the passenger position information from the automobile seat sensor and broadcasts the passenger position information to the mobile phone of the passenger through a wireless network (WIFI, Bluetooth and the like). This approach needs to rely on car seat sensors, car terminals, car terminal wireless networks and connections to cell phones. The third mode is to realize positioning by common indoor positioning means such as Bluetooth and infrared sensors. The latter two positioning approaches add additional conditions and costs, which make their usability much compromised.

In addition, the contents of the location services concerned by the driver and the passenger are different, and the current software for providing the location services does not distinguish the location services provided by the software for providing the location services for the driver or the passenger, so that the personalized location services with better experience cannot be provided for the user in the aspects of interface design, contents and the like.

Disclosure of Invention

In view of this, an embodiment of the present invention provides a method for determining a location area in a vehicle cabin, including:

the method comprises the steps that a compartment positioning device determines the space distribution characteristics of satellite signals at the current position;

the compartment positioning device matches the determined spatial distribution characteristics with expected characteristics corresponding to a set compartment internal position area, wherein the expected characteristics refer to spatial distribution characteristics of expected satellite signals;

and the compartment positioning device determines the compartment position area corresponding to the matched expected characteristics as the compartment position area where the compartment positioning device is located currently.

In view of this, an embodiment of the present invention further provides a car positioning device, including:

an arithmetic unit configured to: determining the space distribution characteristics of the satellite signals at the current position;

a matching unit configured to: matching the spatial distribution characteristics determined by the arithmetic unit with expected characteristics corresponding to a set position area in the carriage, wherein the expected characteristics refer to the spatial distribution characteristics of expected satellite signals;

a positioning unit configured to: and determining the position area in the carriage corresponding to the expected characteristics matched by the matching unit as the position area in the carriage where the carriage positioning device is currently located.

In view of this, an embodiment of the present invention further provides a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the following steps when executing the computer program:

determining the space distribution characteristics of the satellite signals at the current position;

matching the determined spatial distribution characteristics with expected characteristics corresponding to a set position area in the carriage, wherein the expected characteristics refer to the spatial distribution characteristics of expected satellite signals;

and determining the position area in the carriage corresponding to the matched expected features as the position area in the carriage where the terminal is located currently.

In view of this, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the following steps:

and determining the position area in the car corresponding to the matched expected features as the position area in the car where the terminal containing the processor is located currently.

The embodiment scheme can realize the positioning of the position area in the carriage without adding extra conditions and cost.

In view of this, an embodiment of the present invention further provides a method for providing location services, including:

determining a position area in a carriage where the terminal is located currently;

and providing position service by adopting the position service mode corresponding to the determined position area in the carriage according to the configured corresponding relation between the position area in the carriage and the position service mode.

In view of this, an embodiment of the present invention further provides a terminal, including:

a carriage positioning module configured to: determining a position area in a carriage where the terminal is located currently;

a location services module configured to: according to the configured corresponding relation between the position area in the carriage and the position service mode, adopting the position service mode corresponding to the position area in the carriage determined by the carriage positioning module to provide position service;

a memory configured to: and storing the information of the corresponding relation between the position area in the carriage and the position service mode.

The embodiment can provide personalized position service for the user according to the determined position area in the carriage, and meets the personalized requirement of the user.

Drawings

FIG. 1 is a flow chart of a method of determining a location area within a car in accordance with an embodiment of the present invention;

FIG. 2 is a schematic representation of the spatial distribution of satellite signals represented by a sky plot in accordance with an embodiment of the present invention;

FIG. 3 is a unit diagram of an in-car position zone determining apparatus according to an embodiment of the present invention;

FIG. 4 is a schematic view of 5 location areas set in a sedan according to an embodiment of the present invention;

FIG. 5 is a flowchart of a method for providing location services according to a third embodiment of the present invention;

fig. 6 is a block diagram of a terminal providing a location service according to a third embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.

Example one

The embodiment provides a method for determining a position area in a vehicle compartment, and a corresponding device, a terminal and a computer readable storage medium.

Terminals such as mobile phones and the like can receive real-time ephemeris data of a current position through a network, the real-time ephemeris data shows information such as a position of a satellite when the satellite is not shielded, and the terminals generally have a satellite signal receiving device such as a GPS receiving device and can receive satellite signals.

When a user carries the terminal in a vehicle, the satellite signal received by the terminal is the satellite signal influenced by shelters such as a metal compartment body, doors and windows of the vehicle. For different position areas in the carriage, such as a driving area and a non-driving area, the spatial distribution of shelters such as a metal carriage body, doors and windows is different, the sheltering effect on satellite signals is also different, and generally speaking, the permeability of automobile glass is better and the permeability of the metal carriage body is poor. Therefore, satellite signals received by different position areas in the carriage can present certain regularity in spatial distribution, for example, in the front left driving position of the car, the signal-to-noise ratio on the left side corresponding to a window can be larger, and the signal-to-noise ratio on the upper right and upper right corresponding to the roof is smaller; in the front right passenger position of the car, the signal-to-noise ratio is larger in the space area corresponding to the window on the right side, and is smaller in the space areas corresponding to the car roof right above and left above. Thus, for a certain type of vehicle, such as a car, the spatial distribution characteristic of the satellite signals received by a certain position area in a certain compartment can be determined through theoretical analysis, and is used as the spatial distribution characteristic (simply referred to as "expected characteristic") of the satellite signals expected by the position area in the compartment. The spatial distribution characteristics of the satellite signals expected in the position area in the vehicle compartment can also be obtained through actual detection, for example, a vehicle of a certain vehicle type can be driven to an open area, then a mobile phone is placed in the position area in a certain vehicle compartment to receive the satellite signals, and then the spatial distribution characteristics of the satellite signals are determined according to the received satellite signals and the real-time ephemeris data and serve as the spatial distribution characteristics of the satellite signals expected in the position area in the vehicle compartment. The satellite signals may not be received in some space areas during detection of one place, so that detection can be performed in a plurality of places to obtain the distribution characteristics of the satellite signals in more space areas.

After the terminal calculates the spatial distribution characteristics of the satellite signals at the current position based on the obtained spatial distribution characteristics of the expected satellite signals at the set position area in the carriage, the position area in the carriage where the terminal is currently located can be determined through a characteristic matching method, and the position area in the carriage where the terminal is currently located can be estimated as the position area in the carriage where the user carrying the terminal is currently located.

The car positioning device of the present application can be any device having the positioning function of the present embodiment, and the present embodiment takes a mobile phone as an example. The GPS chip of the mobile phone has the capability of outputting standard NMEA (national Marine Electronics Association) data. NMEA is the short for American national oceanic electronics Association, now the RTCM (Radio Technical Commission for Maritime services) standard protocol for GPS navigation equipment. In the standard NMEA data, the GGA format includes positioning time, latitude, longitude, altitude, the number of satellites used for positioning, DOP value, differential state, correction period, etc., and the GSV format includes information of visible satellites, including PRN code, elevation angle, azimuth angle, signal-to-noise ratio, etc. By analyzing the NMEA data, the relevant data of the current visible satellite can be obtained. According to the obtained data, the NMEA star-sky plot of the mobile phone at the current time and place can be drawn. Meanwhile, the mobile phone can acquire real-time ephemeris data (ephemeris data) (including at least satellite ephemeris data of the current position and time) through AGPS or other methods, and the satellite ephemeris data gives various parameters of the satellite, such as position, time, orientation, speed, and the like. And analyzing the real-time ephemeris data, and drawing a star field map under the condition of no occlusion of the current time and place. In this embodiment, real-time GNSS satellite distribution data provided by AGPS and satellite signal data received by the mobile phone are combined, and based on the characteristics and propagation of GNSS signals

And the related derivation is used as a theoretical basis for predicting the position area of the mobile phone in the outdoor compartment.

As shown in fig. 1, the method for determining a location area in a vehicle cabin according to the present embodiment includes: step 110, the compartment positioning device determines the spatial distribution characteristics of the satellite signals at the current position; step 120, the car positioning device matches the determined spatial distribution characteristics with expected characteristics corresponding to a set car internal position area, wherein the expected characteristics refer to spatial distribution characteristics of expected satellite signals; and step 130, the compartment positioning device determines the compartment position area corresponding to the matched expected feature as the compartment position area where the compartment positioning device is currently located.

In step 110, the present embodiment determines the spatial distribution characteristics of the satellite signals at the current position according to the acquired real-time ephemeris data and the received satellite signals. The spatial distribution characteristics of the satellite signal at the current position include signal noise information, such as signal-to-noise ratio, of the satellite signal in one or more spatial regions in the starry sky plot, and may also be represented by signal strength information and other information that may indicate the influence of the obstruction. It is also possible to use a plurality of pieces of information, which may represent the spatial distribution characteristics independently or in combination, for example, after weighting. The signal-to-noise ratio in the present embodiment is a signal-to-noise ratio, but may be any parameter that reflects a relationship between a signal and noise, such as a signal-to-interference ratio, a carrier-to-noise ratio, or a carrier-to-interference ratio. The snr can be expressed as the snr itself or as a snr level or snr interval determined from the snr value to accommodate the rule matching requirement. Similarly, the signal strength information may be represented by a value of signal strength, or a signal strength level or signal strength interval determined according to the value of signal strength.

The space distribution characteristics are described visually by using a star-and-star diagram. Fig. 2 is an exemplary star field plot of the present embodiment plotted based on real-time ephemeris data and received satellite signals, the plot comprising a plurality of concentric circles, the largest concentric circle representing the entire star field, the circle closer to the center representing the region of the star field at higher elevation angles, the angles marked inside the circumference of the largest concentric circle being used to represent azimuth, a total of 360 degrees, where N (0 °) represents "north", E (90 °) represents "east", S (180 °) represents "south", W (270 °) represents "west", and so on. In this example, the star atlas of fig. 2 is divided into 4 spatial regions: the upper left area is the upper left quadrant part of the starry sky plot; the upper right area is the upper right quadrant part of the starry sky plot; the left lower area is the left lower quadrant part of the star field map; and the lower right area is the lower right quadrant part of the star field map.

The small numbered circles in fig. 2 represent the GPS satellites that receive their signals, and the position of the circles in the figure corresponds to the position of the satellites in the sky. The numbers in the small circles represent the signal-to-noise ratio levels of the satellite signals in this embodiment, and the numbers "1" to "5" represent 5 signal-to-noise ratio levels from low to high, which are named "low", "lower", "medium", "higher" and "high". The signal-to-noise ratio levels of the GPS satellite signals shown in the figures are "2", "3" or "4". The snr level can be determined according to the relative magnitude of the snrs, for example, the snr of the received satellite signal with the largest snr is taken as a reference value 100, the snrs of other satellite signals can be converted into a value within the range of 0 to 100, the snr level is "5" in the range of [50 to 100], the snr level is "4" in the range of [30 to 50), "3" in the range of [20 to 30), "2" in the range of [10 to 20), and "1" in the range of [0 to 10). In another example, the snr level is divided according to the absolute magnitude of the snr, i.e. the range of possible values of the snr is divided into a plurality of intervals, each interval corresponding to one snr level. The above number and names of signal-to-noise ratio levels are merely exemplary. Those skilled in the art will readily understand that the number of snr levels can be divided into 2, 3, 4 or more than 6, and the name of the snr level can be any identifier, for example, when the number of the snr levels is 2, the snr levels are divided into two levels, i.e., higher snr and lower snr, as long as the snr levels can be distinguished. In another embodiment, the signal-to-noise interval or the value of the signal-to-noise ratio may be directly used to represent the signal-to-noise information on the respective spatial regions.

The small circles in figure 2 are the ones that are present on the real-time ephemeris derived star atlas but not on the NMEA star atlas, i.e. one satellite whose signal was not received. In this embodiment, for the satellites existing in the real-time ephemeris, if the corresponding satellite signals are not received, the signal-to-noise ratio or the signal strength of the satellite signals that are not received is set to 0, so that the corresponding signal-to-noise ratio level or the signal strength level can be determined. By the ranking of this example, the corresponding signal-to-noise ratio is ranked 1, i.e. a low signal-to-noise ratio is considered. This approach is more accurate for open environments where satellite signal reception is primarily associated with car occlusions. In another embodiment, it is contemplated that in a narrow environment such as a street, the satellite signal may also be affected by the spatial distribution of the building. The method comprises the steps of considering the influence of building occlusion during positioning operation, specifically, determining whether a satellite signal which is not received is occluded by a building or not by combining a city 3D model of a current position for a satellite which exists in real-time ephemeris by a compartment positioning device if the corresponding satellite signal is not received, and neglecting the satellite signal which is occluded by the building in the satellite signal which is not received when the spatial distribution characteristic of the satellite signal at the current position is determined, and setting the signal-to-noise ratio or the signal intensity value of the satellite signal which is not occluded by the building in the satellite signal which is not received to be 0. The processing mode can obtain higher positioning precision in a narrow environment, but the required data and the occupied resources are more.

In the example shown in fig. 2, after determining the signal-to-noise ratio levels of the respective satellite signals, for each divided spatial region, the average of the signal-to-noise ratio levels of all satellites in the region can be taken as the signal-to-noise ratio level of the spatial region (which can be rounded). For example, in the example of fig. 2, the signal-to-noise ratio level of the lower right and lower left regions is 2, i.e., "lower"; the signal-to-noise ratio level of the upper left region is 3, i.e. "medium", and the signal-to-noise ratio level of the upper right region is 4, i.e. "high". It is understood that the snr level of each spatial region can be calculated by other methods, for example, for each spatial region, averaging the snr values of all satellite signals in the spatial region, and then converting to the corresponding snr level. For satellites at different positions, different weights can be given, for example, for satellites at middle and high elevation angles, the influence of the distribution of doors and windows of a carriage on satellite signals can be reflected, so that higher weights can be given, or only the satellites at the middle and high elevation angles are considered. There are various possible calculation manners, and the present application does not limit the specific calculation manner. The determination of the signal to noise ratio level is described above by taking the signal to noise ratio as an example, and when other parameters such as signal strength are used, the corresponding level can also be determined in a similar manner.

The 4 spatial regions of this example are the same size, in other examples the size of the spatial regions may be different. For example, the upper right region in the drawing is divided into 2 regions at the time of division, in which a region in the 2 nd concentric circle from the inside to the outside is regarded as one spatial region (hereinafter referred to as spatial region a), and the remaining portion is regarded as another spatial region (hereinafter referred to as spatial region B). Then, the signal-to-noise ratio level of spatial region a is 2, i.e., "low", and the signal-to-noise ratio level of spatial region B is 5, i.e., "high". The spatial regions in the spatial distribution features are not necessarily combined to form a complete star field map, or the spatial regions may be selected from the star field map instead of being divided. In one embodiment, a specific spatial region can be selected from the star field map, and the signal-to-noise ratio information or the signal strength information of the spatial region can be used as the spatial distribution feature. In another embodiment, the plurality of spatial regions may be nested, for example, 4 regions divided in fig. 2 are considered, and a middle-high elevation region (corresponding to a region with an elevation angle of about 22.5 ° to 67.5 ° in the star-sky plot) of the 4 regions is taken as a region to be considered when determining the spatial distribution characteristics, and the 4 high elevation regions may be divided into 3 sub-regions (left side, middle and right side, or upper side, middle and lower side) according to the azimuth, and one or more sub-regions thereof are taken as a region to be considered when determining the spatial distribution characteristics.

It is easily understood by those skilled in the art that the specific spatial region division, such as the number, size, and position in the star atlas, may be determined according to the shape, size, door and window distribution, and the like of the vehicle, and a division mode with the most stable and obvious spatial distribution characteristics may be selected according to the actual detection result.

While GPS satellites are shown in fig. 2, in other embodiments, satellites of other satellite positioning systems, such as galileo, beidou, may be used to determine the spatial distribution characteristics, or GNSS satellites may be used. In another embodiment, the information of the satellites of the multiple systems is collected, and the spatial distribution characteristics can be determined by weighting or the like, or the spatial distribution characteristics of the satellite signals of each system are determined respectively and matched, and for the matching result, one system matching is successful, that is, the matching is considered successful, or the matching is considered successful only if the matching of the multiple systems is successful, and the like.

It should be noted that fig. 2 is used to visually represent the spatial distribution characteristics of the satellite signals, so as to facilitate understanding of the present application. The terminal does not need to draw such a star map at the time of actual positioning.

In steps 120 and 130, it is necessary to match the determined spatial distribution characteristic with an expected characteristic corresponding to a set in-vehicle location area, and determine the in-vehicle location area corresponding to the matched expected characteristic as the in-vehicle location area where the in-vehicle positioning device is currently located. The expected characteristics refer to spatially distributed characteristics of the expected satellite signals. That is, the expected characteristics corresponding to a location area within a certain car are the spatial distribution characteristics of the satellite signals expected for the location area within the car.

In this embodiment, the set in-vehicle position area may be divided into a driving area and a non-driving area. The non-driving area can be subdivided. For example, the non-driving area of the car may be subdivided into several position areas such as a front right area (front right side), a rear left area (rear left side), a rear middle area (rear middle portion), and a rear right area (rear right side), or may be simply divided into a front non-driving area and a rear non-driving area. For a bus, each or several rows of seats outside the driver's seat may be divided into one area. The position area in the carriage is mainly determined according to the positioning requirement and is not limited to a certain fixing mode.

In this embodiment, when the determined spatial distribution feature is matched with an expected feature corresponding to a set position region in a car (that is, when two spatial distribution features are matched), the similarity of the signal-to-noise ratio level or the signal intensity level of the two spatial distribution features in the spatial distribution may be calculated, and then the calculated similarity is compared with a set similarity threshold, and if the calculated similarity is greater than the threshold, the matching is considered. For example, for the same spatial region, if the signal-to-noise ratio levels of two spatially distributed features in the spatial region are the same, the similarity is considered to be 1, if the signal-to-noise ratio levels are different by one level, the similarity is considered to be 0.5, otherwise, the similarity is 0. And then accumulating the similarity of all the spatial regions, giving different weights to different spatial regions during accumulation, and comparing the spatial distribution similarity obtained by accumulation with a set threshold value to determine whether the two spatial distribution characteristics are matched.

When one set position area in the carriage exists, matching the determined spatial distribution characteristics with expected characteristics corresponding to the position area in the carriage to obtain a matching result. When there are a plurality of set in-vehicle location areas, the determined spatial distribution characteristics may be matched one by one with expected characteristics corresponding to the plurality of in-vehicle location areas. If any expected characteristic is not matched, the matching is failed, and the positioning result is not output. During matching, the expected features matched first can be directly used as the matched expected features, or all the expected features can be matched, if a plurality of expected features are matched successfully, the matching can be considered to be failed, or the expected feature with the highest similarity can be used as the matched expected feature.

In another embodiment, the spatial distribution characteristic is directly expressed in terms of a signal-to-noise ratio value. When matching, if the spatial region with the largest and smallest statistical values (such as the mean value) of the signal-to-noise ratios of the satellite signals in one spatial distribution characteristic is the same as the spatial region with the largest and smallest statistical values of the signal-to-noise ratios of the satellite signals in another spatial distribution characteristic, the two are considered to be matched. It is also possible to use the snr level to calculate the mean value in this matching approach. In another embodiment, when matching spatial distribution characteristics, if the signal-to-noise ratio of more than 3 spatial regions out of 4 spatial regions is the same, two spatial distribution characteristics are considered to match. There are many algorithms for matching and are not described here. Those skilled in the art can verify different matching algorithms and select the most accurate one of them for use.

In this embodiment, the car positioning device periodically determines the current in-car position area, and locally records the determined in-car position area and/or reports the determined in-car position area to the network side. The position area in the carriage of the carriage positioning device such as a mobile phone can be estimated to be the position area in the carriage of a person carrying the mobile phone, so that the information can reflect whether the user drives the vehicle, and useful information can be provided for personalized position service, traffic supervision and the like, for example, the information can be used for restoring user behaviors in accident investigation and determining whether the user drives the vehicle.

The present embodiment also provides a car positioning device, as shown in fig. 3, including:

an arithmetic unit 10 configured to: determining the space distribution characteristics of the satellite signals at the current position;

a matching unit 20 configured to: matching the spatial distribution characteristics determined by the arithmetic unit with expected characteristics corresponding to a set position area in the carriage, wherein the expected characteristics refer to the spatial distribution characteristics of expected satellite signals;

a positioning unit 30 configured to: and determining the position area in the carriage corresponding to the expected characteristics matched by the matching unit as the position area in the carriage where the carriage positioning device is currently located.

In this embodiment, the spatial distribution characteristics of the satellite signals include signal noise information and/or signal strength information of the satellite signals in one or more spatial regions in the starry sky plot.

In this embodiment, the signal-to-noise information is represented by a signal-to-noise ratio value, a signal-to-noise ratio level, or a signal-to-noise ratio interval; the signal strength information is represented by a value of signal strength or a signal strength level or a signal strength interval.

In this embodiment, the determining, by the operation unit, the spatial distribution characteristic of the satellite signal at the current position includes: determining the space distribution characteristics of the satellite signals at the current position according to the acquired real-time ephemeris data and the received satellite signals, wherein:

for the satellites existing in the real-time ephemeris, if the corresponding satellite signals are not received, setting the signal-to-noise ratio or the signal strength value of the satellite signals which are not received to 0; or

For the satellites in the real-time ephemeris, if the corresponding satellite signals are not received, determining whether the satellite signals which are not received are shielded by buildings by combining with a city 3D model of the current position, and when the space distribution characteristics of the satellite signals at the current position are determined, neglecting the satellite signals which are shielded by the buildings in the satellite signals which are not received, and setting the signal-to-noise ratio or the signal intensity value of the satellite signals which are not shielded by the buildings in the satellite signals which are not received to be 0.

In this embodiment, the set position area in the vehicle compartment includes two types, i.e., a driving area and a non-driving area; the car positioning device periodically determines the current position area in the car, and locally records the determined position area in the car and/or reports the determined position area in the car to the network side.

The embodiment also provides a terminal, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

In this embodiment, the computer program may be an application program (e.g., gold, hundredths, etc.) of a location service, in which a positioning function in a car is added. Or any new or old application that can be launched and then located in the background.

In this embodiment, the determining, by the processor, the spatial distribution characteristic of the satellite signal at the current position includes: determining the space distribution characteristics of the satellite signals at the current position according to the acquired real-time ephemeris data and the received satellite signals, wherein:

The processor may execute any processing in the method of this embodiment, which is not described herein again.

The present embodiments also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of:

When executed by a processor, the computer program may also implement any processing of the method of this embodiment, which is not described herein again.

The method for determining the position area in the vehicle compartment can be realized based on the existing terminal, so that the position area where the person in the vehicle is located can be predicted and identified without depending on other auxiliary equipment. The positioning result can be used for higher accuracy positioning services. For example, in a lane-level driving navigation scene, the position of the current passenger relative to the road can be output by adopting the scheme, and the positioning effect and the user experience are improved. Meanwhile, the scheme also provides convenience for other position-based applications, traffic supervision and the like on the road.

Example two

The present embodiment provides an example of positioning based on the determination method of the position area in a car of the embodiment.

The embodiment relates to the determination of a position area in a car compartment of a car, which is realized by using a mobile phone. Based on the GNSS signal propagation principle and the structure of the automobile compartment, the satellite signals observed by the mobile phone show certain spatial distribution characteristics for passengers at different positions, so that the position area of the mobile phone in the compartment can be determined in a characteristic matching mode.

The mobile phone GPS chip is provided with output standard NMEA data information. In the standard NMEA data, "GGA" includes positioning time, latitude, longitude, altitude, the number of satellites used for positioning, DOP value, differential state and correction period, etc., and "GSV" includes information of visible satellites including PRN code, elevation angle, azimuth angle and signal-to-noise ratio. Meanwhile, the real-time ephemeris data of the current position can be acquired through AGPS or other modes. The current visible satellite data is obtained by analyzing the NMEA data, and the NMEA star-and-sky plot (not required to be actually drawn) of the mobile phone at the current time and place can be obtained. And analyzing the real-time ephemeris data to obtain a real-time space and air map under the current non-shielding condition, and determining the spatial distribution characteristics of the satellite signals at the current position by combining the related information in the two space and air maps.

As shown in fig. 4, the car has 5 positions in the passenger compartment, namely, front left, front right, rear left, rear middle and rear right. The position information, wherein the front left is the position area where the driver is located for the domestic vehicle. The method of the embodiment outputs the position area where the mobile phone is located.

For the selected spatial region, the following is defined: the upper left area is the upper left quadrant part of the starry sky plot; the upper right area is the upper right quadrant part of the starry sky plot; the left lower area is the left lower quadrant part of the star field map; and the lower right area is the lower right quadrant part of the star field map. In addition, the middle and high elevation angle regions (regions with the star field elevation angle of about 22.5-67.5 degrees) in the 4 regions participate in matching as independent regions. In this embodiment, the spatial regions may be divided as shown in fig. 2, and the expected snr level of each spatial region is defined by the following text.

The vehicle is assumed to be driving outdoors, when the observation of the GNSS satellites is good (availability is high and multipath effect influence is small). Whether the condition is met or not can be known according to the driving route and the map of the automobile, so that when the positioning result is used, the positioning result meeting the condition can be filtered out for use.

In this example, the spatial distribution characteristics of the expected satellite signals for each in-car location area are as follows:

front left position: the signal-to-noise ratio in the lower right region is lower, the signal-to-noise ratio in the high elevation region in the lower left region is higher, the signal-to-noise ratio in the high elevation region in the upper left region is higher (but the signal-to-noise ratio in the middle azimuth region is lower), and the signal-to-noise ratio in the high elevation region in the upper right region is higher (but the signal-to-noise ratio in the lower azimuth region is lower).

Front right position: the signal-to-noise ratio of the left lower area is lower, the signal-to-noise ratio of the right lower area in the high elevation angle area is higher, the signal-to-noise ratio of the right upper area in the high elevation angle area is higher (but the signal-to-noise ratio of the middle azimuth area is lower), and the signal-to-noise ratio of the left upper area in the high elevation angle area is higher (but the signal-to-noise ratio of the lower azimuth area is lower).

Rear left position: the signal-to-noise ratio of the high elevation area in the upper right area is lower, the signal-to-noise ratio of the high elevation area in the upper left area is higher, the signal-to-noise ratio of the high area in the lower left area is higher (but the signal-to-noise ratio of the middle azimuth area is lower), and the signal-to-noise ratio of the high area in the lower right area is lower.

The rear middle position: the signal-to-noise ratio of the high elevation angle area in the lower right area is higher, the signal-to-noise ratio of the high elevation angle area in the lower left area is higher, the signal-to-noise ratio of the upper left middle high area is lower, and the signal-to-noise ratio of the upper right middle high area is lower.

Rear right position: the signal-to-noise ratio of the high elevation area in the upper left area is lower, the signal-to-noise ratio of the high elevation area in the upper right area is higher, the signal-to-noise ratio of the high area in the lower right area is higher (but the signal-to-noise ratio of the middle azimuth area is lower), and the signal-to-noise ratio of the high area in the lower left area is lower.

It should be noted that different car configurations are different, and the above-mentioned desired feature is only an example and is not applicable to all car models.

According to the method of the first embodiment, after the mobile phone determines the spatial distribution characteristics of the satellite signal at the current position according to the real-time ephemeris data and the received satellite signal, the mobile phone can be matched with the expected characteristics at the 5 positions one by one, and if one of the expected characteristics is successfully matched, the matched position area in the vehicle compartment corresponding to the expected characteristic is output as a positioning result, that is, the position area in the vehicle compartment where the mobile phone is determined this time.

In actual detection, the first positioning time of the mobile phone positioning chip can reach 1 second under the condition of using AGPS, which is also the time for starting the positioning algorithm for the first time. The updating frequency of the mobile phone observation epoch is 1 second, so the updating frequency of the algorithm can reach 1 second. By measuring and calculating the accuracy of the algorithm, the position judgment accuracy can reach more than 90% under the condition of better observation conditions. With the support of the mobile phone positioning chip on multimode satellites (GPS, GLONASS, BD, GALILO), more satellite data will be used as the judgment basis of the algorithm, and the position judgment accuracy will be higher. By combining the 3D model data of the city where the current position of the vehicle is, the situation that the satellite is shielded by the building can be deduced, so that the algorithm performance is optimized, the usability of the algorithm is improved under the condition that the observation condition is not good enough, and the description of the first embodiment can be seen in the example of the combination mode.

EXAMPLE III

For location services, there is a need for personalization of users at different locations within the vehicle cabin. For example, the experience needs of the user are different for navigation software used by the driver and navigation software used by the average passenger. Because the driver needs to pay more attention to driving, the interaction to the navigation software can be reduced as much as possible, unimportant message prompts and the like are avoided by maximizing the navigation interface to improve the driving safety and the driving friendliness, and for common passengers, the navigation is provided, and meanwhile, if more information services and interaction experience can be provided, the whole trip is full of fun.

The embodiment provides a method for providing location service, which can provide personalized location service according to different location areas in a carriage where a terminal is currently located.

The method of the embodiment is shown in fig. 5, and comprises the following steps:

step 210, determining a position area in a carriage where the terminal is located currently;

in this embodiment, the position area in the car where the terminal is currently located may be determined by using the method of the first embodiment, that is:

The spatial distribution characteristics of the satellite signals may include signal noise information and/or signal strength information of the satellite signals over one or more spatial regions in the starry sky plot. For other contents of the positioning method, the method of embodiment one can be seen

In other embodiments, other methods are used to determine the current location area of the terminal in the vehicle cabin, such as the above mentioned manual input method, or the method of sensing the location of the user through the car seat sensor and the interconnection between the car and the mobile phone, or the method of positioning through the common indoor positioning means, etc.

In this embodiment, the application providing the location service on the terminal determines the current in-car location area of the terminal, but in other embodiments, other applications (which may cooperate with other auxiliary devices) on the terminal may determine the current in-car location area of the terminal, and then send the determined in-car location area to the application providing the location service according to a request of the application providing the location service, or may actively send the determined in-car location area to the application providing the location service.

And step 220, providing position service by adopting the position service mode corresponding to the determined position area in the carriage according to the configured corresponding relation between the position area in the carriage and the position service mode.

In this embodiment, the in-vehicle location area includes a driving area and a non-driving area; the position service mode corresponding to the driving area is different from the position service mode corresponding to the non-driving area.

The embodiment also provides an apparatus for providing location service, where the apparatus may be a user terminal such as a mobile phone, and as shown in fig. 6, the apparatus includes:

a car positioning module 50 configured to: determining a position area in a carriage where the terminal is located currently;

a location services module 60 configured to: according to the configured corresponding relation between the position area in the carriage and the position service mode, adopting the position service mode corresponding to the position area in the carriage determined by the carriage positioning module to provide position service;

a memory 70 configured to: and storing the information of the corresponding relation between the position area in the carriage and the position service mode.

In this embodiment, the car positioning module adopts the positioning method of the first embodiment (but not limited to this), and includes:

a positioning unit configured to: determining the position area in the carriage corresponding to the expected characteristics matched by the matching unit as the position area in the carriage where the terminal is located currently;

wherein the spatial distribution characteristics of the satellite signals comprise signal noise information and/or signal strength information of the satellite signals over one or more spatial regions in a starry sky plot.

In this embodiment, the car positioning module may be a module in an application providing a location service on the terminal, that is, the application has both the car positioning module and the location service module. In other embodiments, the car positioning module is a module in another application that sends the determined in-car location area to a location service module in an application that provides location services.

In this embodiment, the memory stores information of correspondence between in-vehicle location areas and location service modes, where the in-vehicle location areas include a driving area and a non-driving area; the position service mode corresponding to the driving area is different from the position service mode corresponding to the non-driving area.

Navigation in the terminal other functions of the car positioning module of this embodiment are found in the contents of the car positioning device of the first embodiment.

The embodiment also provides a terminal, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the following steps:

The present embodiments also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:

In this embodiment, the determining, by the processor, the current location area in the car where the terminal is located includes:

The computer program described in this embodiment may be executed by the processor to adopt any processing of the positioning method of the first embodiment, which is not described herein again.

Example four

The foregoing embodiments are for the positioning of the interior space of the vehicle compartment, and it will be readily appreciated that the positioning method described above may be used for some interior spaces of objects in addition to the interior space of the vehicle compartment. Such as the location of an aircraft interior space, some rooms, etc. The internal space of the object here refers to the internal space of the object that can receive the satellite signal, and some parts of the housing have stronger shielding effect on the satellite signal and some parts have weaker shielding effect. The spatial distribution characteristics of the satellite signals are different in different regions of the internal space of the object for the same reason as in the vehicle compartment, and therefore the method for determining the position region as in the foregoing embodiment can also be adopted, except that the applied scene is not limited to the vehicle compartment,

the embodiment provides a method for positioning an internal space of an object, which comprises the following steps:

the positioning device determines the space distribution characteristics of the satellite signals at the current position;

the positioning device matches the determined spatial distribution characteristics with expected characteristics corresponding to a set position area, wherein the expected characteristics refer to spatial distribution characteristics of expected satellite signals;

and the positioning device determines the position area corresponding to the matched expected features as the position area in the carriage where the positioning device is currently located.

Other features of the method for determining a location area in a vehicle cabin according to the foregoing embodiment may also be used in the positioning method according to this embodiment, and are not described in detail here.

The embodiment is an example of an application of a position area in a car in position service, and in the first embodiment, it is mentioned that a corresponding positioning result can be used for traffic supervision, such as determining whether a user is in a driving position during an accident. In addition, the positioning result has other applications, for example, in business scenes such as commercial marketing, finance and insurance, the data of the position area of the terminal user in the carriage reflects the user's car using behavior, and can be used as important data of the user figure, thereby providing a data source for a large part of marketing and modeling scenes.

It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.

Claims

1. A method of determining a location area within a vehicle cabin, comprising:

the compartment positioning device determines the compartment position area corresponding to the matched expected characteristics as the compartment position area where the compartment positioning device is located currently;

2. The method of claim 1, wherein:

the signal noise information is represented by a signal-to-noise ratio value or a signal-to-noise ratio level or a signal-to-noise ratio interval; the signal strength information is represented by a value of signal strength or a signal strength level or a signal strength interval.

3. The method of claim 1, wherein:

the car positioning device determines the space distribution characteristics of the satellite signals at the current position, and comprises the following steps: determining the space distribution characteristics of the satellite signals at the current position according to the acquired real-time ephemeris data and the received satellite signals, wherein:

4. A method according to any of claims 1-3, characterized by:

the set position area in the carriage comprises a driving area and a non-driving area;

the method further comprises the following steps: the car positioning device periodically determines the current position area in the car, and locally records the determined position area in the car and/or reports the determined position area in the car to the network side.

5. A car positioning device, comprising:

a positioning unit configured to: determining the position area in the carriage corresponding to the expected characteristics matched by the matching unit as the position area in the carriage where the carriage positioning device is located currently;

6. A terminal comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of:

determining the position area in the carriage corresponding to the matched expected characteristics as the position area in the carriage where the terminal is located currently;

7. The terminal of claim 6, wherein:

the processor determines the spatial distribution characteristics of the satellite signals at the current position, and comprises the following steps: determining the space distribution characteristics of the satellite signals at the current position according to the acquired real-time ephemeris data and the received satellite signals, wherein:

8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of:

determining the position area in the carriage corresponding to the matched expected features as the position area in the carriage where the terminal containing the processor is located currently;

9. A method of providing location services, comprising:

according to the configured corresponding relation between the position area in the carriage and the position service mode, adopting the position service mode corresponding to the position area in the carriage to provide position service;

wherein, the determining the current position area in the carriage where the terminal is located includes:

10. The method of claim 9, wherein:

the position area in the carriage comprises a driving area and a non-driving area; the position service mode corresponding to the driving area is different from the position service mode corresponding to the non-driving area.

11. An apparatus for providing location services, comprising:

a memory configured to: storing information of the corresponding relation between the position area in the carriage and the position service mode;

wherein the car positioning module comprises:

12. The apparatus of claim 11, wherein:

the memory stores information of correspondence between in-vehicle location areas and location service modes, wherein the in-vehicle location areas include a driving area and a non-driving area; the position service mode corresponding to the driving area is different from the position service mode corresponding to the non-driving area.

13. A method of locating an interior space of an object, comprising:

the positioning device matches the determined spatial distribution characteristics with expected characteristics corresponding to a position area set by the internal space of the object, wherein the expected characteristics refer to the spatial distribution characteristics of expected satellite signals;

the positioning device determines a position area corresponding to the matched expected features as a position area in the carriage where the positioning device is located currently;