CN103826299A - Wireless signal sensation based indoor augmented reality realizing method - Google Patents
Wireless signal sensation based indoor augmented reality realizing method Download PDFInfo
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- CN103826299A CN103826299A CN201410078767.6A CN201410078767A CN103826299A CN 103826299 A CN103826299 A CN 103826299A CN 201410078767 A CN201410078767 A CN 201410078767A CN 103826299 A CN103826299 A CN 103826299A
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Abstract
The invention discloses a wireless signal sensation based indoor augmented reality realizing method. According to the method, wireless fingerprint is used as the basis for system position judgment, the system calculation amount is reduced by using a kd tree and a BBF (Best Bin First) method, the scanning interval is optimized based on attitude estimation, the weight KNN (K Nearest Neighbor) is calculated based on a previous distance and a direction, and the weight is displayed based on a display method of POI (Point of Interest) distance and direction. By adopting the method, augmented reality service can be realized in an indoor large-scale scene, and the limit caused by augmented reality in an indoor labeling mode is overcome.
Description
Technical field
The present invention relates to wireless communication field and virtual reality field, be specifically related to a kind of indoor augmented reality implementation method.
Background technology
Along with the develop rapidly of mobile Internet, augmented reality is not only only for the professional domain such as industrial, military, and the life that will serve more ordinary people.Augmented reality system based on customer location is to compare at present a kind of form of main flow.
Its relevant technology comprises augmented reality and wireless fingerprint location technology.Existing location-based augmented reality mainly relies on GPS, electronic compass, gyroscope etc. as information support, but GPS cannot normally work under indoor enclosed environment, and GPS also can not meet the accuracy of augmented reality service under indoor environment in the precision of 10 meters of left and right, thereby causes technology to run into bottleneck.At present, indoor main targeting scheme is still take wireless location as main.Wherein wireless fingerprint location technology has anti-multipath propagation effect, is applicable to the advantages such as complicated geographical environment, but relatively low than the equidistant method of TOA, TDOA in positioning precision, in the high-dimensional lower problem that operand is larger that exists.
Summary of the invention
For existing augmented reality, under indoor environment, owing to cannot passing through the accurate perception customer location of GPS, augmented reality service is often restricted; In addition, using the terminal of augmented reality is user mobile phone, and its electric weight is restricted to a certain extent; Technical problem to be solved by this invention is to provide the augmented reality based on wireless signal cognition technology under a kind of indoor environment, to overcome the existing defect of existing augmented reality.
In order to solve the problems of the technologies described above, the present invention adopts following technical scheme:
Based on the indoor augmented reality implementation method of wireless signal perception, the method adopts the basis of wireless fingerprint data as position judgment, weights KNN computational methods based on last positional distance and orientation are determined final position simultaneously, and the last display packing based on POI range-azimuth shows.
In the preferred version of this programme, described method is specifically drawn together following steps:
(1) choose reference point according to indoor map, corresponding map is chosen to the POI(Pointof interest information point needing simultaneously);
(2) obtain the wireless fingerprint data of each reference point;
(3) step (2) acquisition wireless fingerprint data and actual geographic position are bound mutually, in full map, complete collection, and form corresponding wireless map;
(4) method of setting (k-dimensional tree abbreviation) by KD is carried out structurized processing to wireless map, and signal domain is divided into different regions.
(5) enter the real time scan stage, the kd tree that step (4) is formed adopts the method for BBF inquiry (Priority Queues inquiry) to inquire about, and K that searches out current wireless fingerprint is closed on reference point most;
(6) K step (5) being produced closes on reference point most, calculates corresponding weights by analyzing it with the range-azimuth angle of previous moment position, finally carries out the individual point of proximity of weights KNN(K) calculating, obtain the estimated value of current location;
(7) position of the POI of typing in the final position that integrating step (6) obtains and step (1), calculates the range-azimuth angle of POI and current location;
(8), by POI actual position coordinate, be converted to the position coordinates on screen, and according to the angular field of view of user terminal camera, the POI after screening is presented in user terminal screen the most at last.
Further, the spacing between the reference point of choosing in described step (1) is 3-5 rice.
Further, institute's step (2) is in the time obtaining the wireless fingerprint data of each reference point, and by gather some groups of wireless signal data in each reference point, and generating probability distribution map, then the data of choosing maximum probability are as final wireless fingerprint data.
Further, in described step (5), in the time scanning, by the attitude judgement (needing equally in augmented reality service) to user terminal, judge the behaviour in service of user terminal with this, and carry out conditioning signal sweep spacing with this.
Further, described step (1) to (4) is the processed offline stage, is undertaken by service provider; Described step (5) to (9) runs on user terminal.
The wireless signal of scheme provided by the invention based under indoor environment, as position judgment foundation, can be realized augmented reality service under indoor large scene, made up and realized by label the limitation that augmented reality produces indoor at present.
Meanwhile, this programme can greatly reduce the operand of user terminal, effectively extends the service time of terminal, and the performance of user terminal and efficiency are promoted greatly.
Accompanying drawing explanation
Further illustrate the present invention below in conjunction with the drawings and specific embodiments.
Fig. 1 block diagram of realizing of the present invention;
Fig. 2 reference point of the present invention is selected and wireless fingerprint data acquisition;
In Fig. 3 the present invention, user terminal, in the time of normal operating condition, is finally realized effect schematic diagram;
Fig. 4 user terminal of the present invention, in the time that level is used state, is finally realized effect schematic diagram.
Embodiment
For technological means, creation characteristic that the present invention is realized, reach object and effect is easy to understand, below in conjunction with concrete diagram, further set forth the present invention.
Due under indoor environment, cannot pass through the accurate perception customer location of GPS, augmented reality service is often restricted; In addition,, because terminal is user mobile phone, its electric weight is restricted to a certain extent.To this, the present invention is in conjunction with characteristic and the wireless location technology of augmented reality, and under the condition of considering mobile terminal self limitation, solution is proposed, this scheme particular content comprises: adopt the basis of wireless fingerprint as alliance judgement, and set with the method for BBF inquiry and reduce system operand by kd, estimate sweep spacing to be optimized based on attitude, weights KNN computational methods based on last positional distance and orientation simultaneously, the last display packing based on POI range-azimuth is carried out result demonstration.
Based on above-mentioned principle, the implementation procedure of the indoor augmented reality implementation method based on wireless signal perception provided by the invention following (referring to Fig. 1):
Step 1, according to the indoor map of reality, chooses some reference points indoor, and reference point adopts and equidistantly chooses, and between them, spacing is generally 3～5 meters of left and right.Corresponding map (being indoor map) is chosen to the POI(Point of interest information point needing simultaneously), for the demonstration of augmented reality.When specific implementation, in the time choosing POI, can adopt technology conventional in existing GIS-Geographic Information System, by the prior typing of corresponding POI data.
Step 2, obtains the wireless fingerprint data of each reference point.
For wireless fingerprint location technology, stable wireless fingerprint data are extremely important, and in actual situation, due to the complicated multipath effect producing of indoor environment, cause the signal strength signal intensity that receives same WAP (wireless access point) on same position constantly to change.The present invention, in each reference point, for guaranteeing the stability of implementation process, gathers some groups of wireless signal data for this reason, and generating probability distribution map, finally chooses the data of maximum probability as final wireless fingerprint data.
In this step in the time gathering wireless signal data, by the data such as MAC Address, SSID, RSSI of wireless terminal scanning imaging system Real-time Obtaining wireless signal; Due at same position, the RSS value of wireless signal, always in fluctuation status, is drawn basic probability distribution graph by gathering a large amount of RSS numerical value.
Step 3, the method for shining upon by address, bind mutually wireless fingerprint data and actual geographic position (i.e. position when this data acquisition) that step (2) is obtained, in full map, completes collection, forms final wireless map.
The method of binding by numbering in this step is bound the wireless fingerprint data of acquisition and actual geographic position, makes the wireless fingerprint data of binding have identical numbering with actual geographic position;
Accordingly all reference points in full map (being indoor map) are completed to the collection of data and the binding of corresponding actual geographic position.
Finally, the wireless fingerprint data that obtain according to all reference points are shone upon and are formed corresponding wireless map.In the time of specific implementation, just each reference point of map, by a wireless fingerprint data representation, realizes mapping thus, then on map, forms corresponding wireless map by corresponding wireless fingerprint data.But concrete scheme is not limited to this, also can adopt alternate manner.
Step 4, the wireless map that step 3 is obtained carries out structurized processing, and signal domain is divided into different regions by the method for setting (abbreviation of k-dimensional tree) by kd, to improve the search efficiency of subscription client.
Step 5, user terminal enter this indoor after, will enter the real time scan stage, i.e. the wireless signal data of real time scan current location, carry out characteristic value with existing wireless fingerprint database and mate, thereby judge user terminal current location.
In real time scan process, judge (in augmented reality service, needing equally) by the attitude to user terminal, carry out the behaviour in service of estimating user terminal according to the attitude of user terminal, the conditioning signal sweep spacing suitable according to the use state of user terminal again, reduces operand.
When the inclination angle of user terminal is between-90 to 90 degree, judge that user terminal normally uses moment or state, suitably reduce user terminal signal surface sweeping interval;
When the inclination angle of user terminal is between-180 to-90 degree and 90 to 180 degree, judge that user terminal is in non-normal use moment or state, suitably improve user terminal signal surface sweeping interval.
Step 6, consider high-dimensional wireless environment, the kd tree in scanning process, step 4 being formed adopts BBF(Best Bin First) method of inquiry (Priority Queues inquiry) replaces traditional kd tree query checking method and inquires about, and according to the inquiry threshold value of setting, K that searches out current wireless fingerprint is closed on reference point (searching out K the reference point nearest with current wireless fingerprint Euclidean distance) most.Wireless fingerprint described here is the set of each wireless signal data of detecting in real time.
Step 7, the K that step 6 is produced closes on reference point most, by analyzing they and their weights of range-azimuth angle calculating of previous moment position, finally carries out weights KNN(K-NearestNeighbors) calculating, obtain the estimated value of current location.In this step, in the time that K of analysis closes on the weights of reference point most, can be undertaken by corresponding function, in the time judging, the nearlyer weights of distance are higher, and the less weights in azimuth are higher.Can set according to actual environment for this function.
Step 8, the physical location of the POI choosing in the final position (being the estimated value of current location) that integrating step 7 obtains and step 1, calculates the range-azimuth angle of POI and current location.This range-azimuth angle specifically can be tried to achieve by the correlation computations in theorem in Euclid space.
Step 9, by POI actual position coordinate, is converted to the position coordinates on screen, and according to the angular field of view of user terminal camera, the POI after screening is presented in user terminal screen the most at last.
In this step, according to the range-azimuth angle of the POI calculating in step 8 and current location, by calculating, POI actual position coordinate is converted to the position coordinates on screen, then obtains the attitude of equipment by equipment gyroscope, the position showing on adjusting screen.Specifically can adopt programmed algorithm to realize, first calculate and judge that POI whether in current phone camera azimuth, if exist, is presented on screen according to concrete angle by algorithm.But concrete implementation method is not limited to this.
Screen according to the angular field of view of user terminal camera, only will in angular field of view, be presented in user terminal screen by POI, only the POI information in display view angle is presented on user's screen.
Such scheme is in the time of specific implementation, step 1 is wherein the processed offline stage to step 4, and the operation of this part is undertaken by service provider, is not present on user terminal, realize a large amount of information processings in early stage by this part, thereby the performance of user terminal and efficiency are promoted greatly; Step 5 to step 9 is carried out at user terminal simultaneously, not only can under indoor large scene, realize like this augmented reality service, the operand that can also reduce greatly user terminal, effectively extends the service time of terminal, and the performance of user terminal and efficiency are promoted greatly.
By an instantiation, scheme provided by the invention is specifically described below.
The implementation case all adopts android smart mobile phone as operational outfit at service provider and user side two ends, coordinates thus and forms augmented reality service system.
As the android smart mobile phone of service provider, in it, operation has pretreatment system, is mainly used in the collection for indoor wireless data, and is built into wireless map, and this map is carried out to structurized processing.
As the android smart mobile phone of user side, operation has augmented reality computing system in it, and the wireless map that is mainly used in service provider to build scans and calculates, to obtain and to show corresponding POI.
This example is for a certain floor in Mou Dong building, and realizes augmented reality service therein.For this indoor environment, this example is realized the process following (referring to Fig. 1) of augmented reality service:
Step 1, chooses reference point according to the indoor map of reality.
Referring to Fig. 2, this example, according to its actual indoor map, has selected 57 geographical position as position reference point altogether, and the spacing between these 57 position reference point is generally 3～5 meters of left and right; Corresponding map is chosen to the POI needing, for the demonstration of augmented reality simultaneously.
Step 2, in each reference point, gathers 100 groups of wireless datas by the android smart mobile phone as service provider, and generating probability distribution map, finally chooses the data of maximum probability as final wireless fingerprint data.
Step 3, the method for shining upon by address as the android smart mobile phone of service provider, bind mutually wireless fingerprint data and actual geographic position that step 2 is obtained, in full map, completes collection, forms final wireless map.
Step 4, in order to improve the search efficiency of user side, wireless map step 3 being obtained as the android smart mobile phone of service provider carries out structurized processing, and indoor signal domain is divided into different regions by the method for setting by kd.
In this example, set when carrying out structuring and processing by kd, the k in kd tree represents effective WAP (wireless access point) (AP) quantity in indoor environment.First select the maximum AP of a variance as cut-point, all reference points (RP) are sorted according to the signal strength values of this AP, according to median, all reference points (RP) are divided into left subtree and right subtree, then in the subtree of left and right, repeat aforesaid operations successively, until finally complete kd tree.
Step 5, complete after processed offline at the android smart mobile phone as service provider, user terminal is entering into after this indoor environment, to enter the real time scan stage, in order to meet the real-time of service, the sweep spacing that runs on the system of user terminal is set to 500ms, that is to say each second, and this system will be located twice user terminal.If but long-time frequency in one second twice location can suitable power consumption, and under many circumstances, user does not pay special attention to the positional information of oneself.Native system, by judging the attitude of user terminal, suitably regulates sweep spacing.As: in the time that the inclination angle of terminal is between-90 to 90 degree, judge that user terminal is normal operating condition, adopt the sweep spacing of 500ms, and at-180 to-90 degree and 90 to 180 degree etc., user terminal is non-normal use state, adopts the sweep spacing of 2s.Can reduce to a certain extent operand, extend the service time of terminal.
Step 6, considers high-dimensional wireless environment, and the kd tree that user terminal forms step 4 in scanning process adopts the method for BBF inquiry to replace traditional kd tree query.Concrete, in the system that runs on user terminal, add a priority query, more may obtain the separation (obtaining the larger separation of probability of point of proximity) of point of proximity for storing.In the process of retrospective search, system will be set a threshold value, and from priority query, recall successively each preferential separation (separation in being stored in priority query), thereby carry out the inquiry of point of proximity.In the time that inquiry quantity reaches threshold value, poll-final, finally obtains K and closes on reference point most.
Step 7, the K that user terminal produces step 6 closes on reference point most, calculate their weights by the range-azimuth angle (this range-azimuth angle specifically can according to now position and eve position calculation gained) of analyzing they and previous moment position, finally carry out the calculating of weights KNN, obtain the estimated value of user terminal current location.
In addition, because the weights KNN has here considered previous moment position, make position levels of precision first have considerable influence to whole process, therefore this example is in the time locating first, in advance by the wireless fingerprint data of obtaining 6 groups of user terminals collections 3 seconds, by to these 6 groups of data analysis processing, obtain relatively accurately position location first.
Step 8, the position of typing POI in advance in the final position (being the estimated value of user terminal current location) that user terminal integrating step 7 obtains and step 1, calculates the range-azimuth angle of POI and current location.
Step 9, user terminal, by POI actual position coordinate, is converted to the position coordinates on screen, and according to the angular field of view of user terminal camera, the POI after screening is presented in user terminal screen the most at last.
Referring to Fig. 3 and 4, it is depicted as user terminal in this example (mobile phone) and enters in Gai Dong building in respective storey, augmented reality service plan based on above-mentioned, what obtain finally realizes schematic diagram, wherein Figure 3 shows that user terminal is in the time of plumbness, the augmented reality content that it obtains has shown the Azimuth & Range of toilet in the display screen of terminal.When user is flat while holding terminal (mobile phone), system is judged terminal attitude, automatically transfers map mode to, and shows current location, as shown in Figure 4.
Known by above-mentioned example, the augmented reality that this example provides does not access in the situation of any Wi-Fi user terminal, can realize under complex indoor environment, well guides user to arrive destination, more more directly perceived than common digital map navigation.
More than show and described basic principle of the present invention, principal character and advantage of the present invention.The technical staff of the industry should understand; the present invention is not restricted to the described embodiments; that in above-described embodiment and specification, describes just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.The claimed scope of the present invention is defined by appending claims and equivalent thereof.
Claims (6)
1. the indoor augmented reality implementation method based on wireless signal perception, it is characterized in that, described method adopts the basis of wireless fingerprint data as position judgment, weights KNN computational methods based on last positional distance and orientation are determined final position simultaneously, and the last display packing based on POI range-azimuth shows.
2. the indoor augmented reality implementation method based on wireless signal perception according to claim 1, is characterized in that, described method specifically comprises the steps:
(1) choose reference point according to indoor map, corresponding map is chosen to the POI needing simultaneously;
(2) obtain the wireless fingerprint data of each reference point;
(3) step (2) acquisition wireless fingerprint data and actual geographic position are bound mutually, in full map, complete collection, and form corresponding wireless map;
(4) method of setting by KD is carried out structurized processing to wireless map, and signal domain is divided into different regions.
(5) enter the real time scan stage, the kd tree that step (4) is formed adopts the method for BBF inquiry to inquire about, and K that searches out current wireless fingerprint is closed on reference point most;
(6) K step (5) being produced closes on reference point most, calculates corresponding weights by analyzing it with the range-azimuth angle of previous moment position, finally carries out the calculating of weights KNN, obtains the estimated value of current location;
(7) position of the POI of typing in the final position that integrating step (6) obtains and step (1), calculates the range-azimuth angle of POI and current location;
(8), by POI actual position coordinate, be converted to the position coordinates on screen, and according to the angular field of view of user terminal camera, the POI after screening is presented in user terminal screen the most at last.
3. the indoor augmented reality implementation method based on wireless signal perception according to claim 2, is characterized in that, the spacing between the reference point of choosing in described step (1) is 3-5 rice.
4. the indoor augmented reality implementation method based on wireless signal perception according to claim 2, it is characterized in that, institute's step (2) is in the time obtaining the wireless fingerprint data of each reference point, by gather some groups of wireless signal data in each reference point, and generating probability distribution map, then the data of choosing maximum probability are as final wireless fingerprint data.
5. the indoor augmented reality implementation method based on wireless signal perception according to claim 2, it is characterized in that, in described step (5), in the time scanning, judge by the attitude to user terminal, judge the behaviour in service of user terminal with this, and carry out conditioning signal sweep spacing with this.
6. according to the indoor augmented reality implementation method based on wireless signal perception described in any one in claim 2 to 5, it is characterized in that, described step (1) to (4) is the processed offline stage, is undertaken by service provider; Described step (5) to (9) runs on user terminal.
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