CN104537873A - Micro-map reverse vehicle finding method based on WiFi positioning - Google Patents
Micro-map reverse vehicle finding method based on WiFi positioning Download PDFInfo
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- CN104537873A CN104537873A CN201410855202.4A CN201410855202A CN104537873A CN 104537873 A CN104537873 A CN 104537873A CN 201410855202 A CN201410855202 A CN 201410855202A CN 104537873 A CN104537873 A CN 104537873A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
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Abstract
The invention discloses a micro-map reverse vehicle finding method based on WiFi positioning. The method comprises the following steps that firstly, a map is drawn, wherein information of buildings in a parking lot is collected, the map is drawn and provided with longitudes and latitudes, and then the map is converted into a map database stored in a parking lot server; secondly, a WiFI fingerprint database is established; thirdly, stall memorizing is carried out, wherein a positioning client side is used for reading the map data of the parking lot server, after a vehicle is parked, the current position of the vehicle is obtained through WiFi fingerprint positioning, and then the current stall information is stored into a local database of the positioning client side; fourthly, reverse vehicle finding is carried out, wherein the current position of a user is obtained through the positioning client side and WiFi fingerprint positioning, the stored stall information is read from the local database of the positioning client side, the shortest path is found through Dijkstra, and the navigation path is displayed on the map of the positioning client side. By means of the WiFi fingerprint positioning method, the parking position is accurately positioned, and the parked vehicle is quickly found through the map navigation path.
Description
Technical field
The invention belongs to intelligent parking lot administrative skill field, be specifically related to a kind of micro-map based on WiFi location and oppositely seek car method.
Background technology
Along with developing rapidly of economy, the raising of people's living standard, the quantity of automobile gets more and more, corresponding area of parking lots is also increasing, and people is difficult to distinguish present orientation and position in parking lot, and people are when stopping, random searching empty parking space stops, when people are when picking up the car, because position and orientation are all difficult to distinguish, therefore require a great deal of time to look for car.And be applicable to outdoor GPS location navigation arrived after in parking lot, because signal is blocked, cause GPS to be suitable for.
What current use was the most general seeks car method is distinguished by the road sign travel direction in parking lot and located.In the method, by placing direction board in parking lot, and be numbered parking stall, people carry out parking stall when seeking car by direction board and search.But for just going the people in parking lot, the label of road markings and parking stall is not be familiar with very much, therefore seeks car still very difficult.
Another kind method is in parking lot, place a large amount of RFID sensor, utilizes corresponding electronic location hardware to position when seeking car.Owing to lacking map denotation, even if navigate to current location, also cannot understand the layout in parking lot, vehicle cannot be found fast.And this kind of method needs a large amount of hardware device of dependence to realize, therefore cost is higher.
Summary of the invention
The object of the invention is to: for the problem of the parking lot car searching difficulty of prior art, provide a kind of micro-map based on WiFi location oppositely to seek car method, can fast searching to stop, and registration, equipment cost is low.
To achieve these goals, the technical solution used in the present invention is:
A car method oppositely sought by micro-map based on WiFi location, comprises the following steps:
A. mapping: gather inner part of parking lot architecture information, map making, converts map data base to after being equipped with longitude and latitude, stored in the server of parking lot;
B.WiFi fingerprint database is set up: determine several fingerprint points in the map drawn in step a, then carries out fingerprint collecting in parking lot according to the fingerprint point selected, stored in the server of parking lot after formation fingerprint database;
Wherein, described fingerprint collecting is the positioning client terminal utilizing band WiFi function, in fingerprint point position, scanning is distributed in the mac address information of the WiFi signal generator of inner part of parking lot and the signal strength values corresponding with this WiFi signal generator, gathers mac address information and signal strength values;
C. parking stall memory: the map datum being read parking lot server by positioning client terminal, after parking, is utilized WiFi fingerprint location, obtain current position, parking stall, then by current parking space information stored in the local data base of positioning client terminal;
D. oppositely car is sought: pass through positioning client terminal, and utilize WiFi fingerprint location, obtain user's current location, and read the parking space information of storage from the local data base of positioning client terminal, Dijkstra is utilized to find shortest path, then show navigator path on the map of positioning client terminal.
Preferably, described WiFi fingerprint location is after utilizing positioning client terminal to scan WiFi signal, send the MAC Address of corresponding signal strength values and the WiFi signal generator corresponding with this WiFi signal to parking lot server, after parking lot server obtains data, in conjunction with data with existing in WiFi fingerprint database, carry out matching treatment, obtain position location.
Preferably, that described matching treatment adopts is nearest neighbor method NN, obtains position location.
Preferably, in step c, comprise position, parking stall and floor information stored in the parking space information in the local data base of positioning client terminal; In steps d, when utilizing Dijkstra to find path, first find the shortest path of position, parking stall and nearest elevator, then find the shortest path of nearest elevator and current location, thus obtain the shortest path of position, parking stall and current location, then show navigator path on the map of positioning client terminal.
Preferably, what described positioning client terminal adopted is mobile phone or the panel computer of being with WiFi function.
Preferably, in step c, while obtaining current position, parking stall utilizing WiFi fingerprint location, utilize positioning client terminal to take pictures and fill in parking space information remarks, then by position, parking stall, pictorial information and parking space information remarks simultaneously stored in the local data base of positioning client terminal.
Owing to have employed technique scheme, the invention has the beneficial effects as follows:
Car method oppositely sought by a kind of micro-map based on WiFi location of the present invention, by setting up micro-map and WiFi fingerprint database, when stopping by WiFi fingerprint location, and vehicle positioning stop position, and the information remembering parking spot; When seeking car, also by WiFi fingerprint location, location current location, then finds shortest path by Dijkstra, and by digital map navigation, and fast searching stops, and WiFi fingerprint location can the higher location of degree of accuracy; And when there is no WiFi signal, can also by the data such as pictorial information, parking space information remarks find to stop.
Accompanying drawing explanation
Fig. 1 is the step block diagram that car method oppositely sought by micro-map of the present invention.
The FB(flow block) of WiFi fingerprint location of the present invention during Fig. 2.
Embodiment
With reference to Fig. 1, car method oppositely sought by a kind of micro-map based on WiFi location of the present invention, comprises the following steps:
A. mapping: gather inner part of parking lot architecture information, map making, converts map data base to after being equipped with longitude and latitude, stored in the server of parking lot;
B.WiFi fingerprint database is set up: determine several fingerprint points in the map drawn in step a, then carries out fingerprint collecting in parking lot according to the fingerprint point selected, stored in the server of parking lot after formation fingerprint database;
Wherein, described fingerprint collecting is the positioning client terminal utilizing band WiFi function, in fingerprint point position, scanning is distributed in the mac address information of the WiFi signal generator of inner part of parking lot and the signal strength values corresponding with this WiFi signal generator, gathers mac address information and signal strength values;
C. parking stall memory: the map datum being read parking lot server by positioning client terminal, after parking, is utilized WiFi fingerprint location, obtain current position, parking stall, then by current parking space information stored in the local data base of positioning client terminal;
D. oppositely car is sought: pass through positioning client terminal, and utilize WiFi fingerprint location, obtain user's current location, and read the parking space information of storage from the local data base of positioning client terminal, Dijkstra is utilized to find shortest path, then show navigator path on the map of positioning client terminal.
With reference to Fig. 2, described WiFi fingerprint location is after utilizing positioning client terminal to scan WiFi signal, send the MAC Address of corresponding signal strength values and the WiFi signal generator corresponding with this WiFi signal to parking lot server, after parking lot server obtains data, in conjunction with data with existing in WiFi fingerprint database, carry out matching treatment, that matching treatment adopts is nearest neighbor method NN, assuming that the RSS observed reading that tested point receives is S=[SS
1, SS
2..., SS
n], existing in database is recorded as S
i=[SS
1, SS
2..., SS
n], wherein, n represents the different AP numbers that tested point detects; I ∈ [1, N], N are the record number in database; SS
irepresent i-th record, then NN algorithm can be expressed as following form
L＝arg min
i∈[1,N]||S-S
i||
Wherein, || S-S
i|| represent S and S
ibetween Euclidean distance.
L is the current position location obtained.
If the position of stopping and the position at current place, not when same floor, in step c, comprise position, parking stall and floor information stored in the parking space information in the local data base of positioning client terminal; In steps d, when utilizing Dijkstra to find path, first find the shortest path of position, parking stall and nearest elevator, then find the shortest path of nearest elevator and current location, thus obtain the shortest path of position, parking stall and current location, then show navigator path on the map of positioning client terminal.
What positioning client terminal of the present invention adopted is mobile phone or the panel computer of being with WiFi function, is all carry day electronic articles for use eaily.
In described step c, utilize WiFi fingerprint location and while obtaining current position, parking stall, utilize positioning client terminal to take pictures and fill in parking space information remarks, then by position, parking stall, pictorial information and parking space information remarks simultaneously stored in the local data base of positioning client terminal.If the parking lot at place does not have WiFi signal, or when WiFi signal goes wrong, car can also be sought by information such as the pictorial information that prestores and parking space information remarks, realize the double insurance seeking car mode.
Micro-map of the present invention is oppositely sought car method and is adopted the real-time navigation services of locating based on WiFi, and seek vehicle speed fast, positioning precision is high.
Claims (6)
1. a car method oppositely sought by the micro-map based on WiFi location, it is characterized in that, comprises the following steps:
A. mapping: gather inner part of parking lot architecture information, map making, converts map data base to after being equipped with longitude and latitude, stored in the server of parking lot;
B.WiFi fingerprint database is set up: determine several fingerprint points in the map drawn in step a, then carries out fingerprint collecting in parking lot according to the fingerprint point selected, stored in the server of parking lot after formation fingerprint database;
Wherein, described fingerprint collecting is the positioning client terminal utilizing band WiFi function, in fingerprint point position, scanning is distributed in the mac address information of the WiFi signal generator of inner part of parking lot and the signal strength values corresponding with this WiFi signal generator, gathers mac address information and signal strength values;
C. parking stall memory: the map datum being read parking lot server by positioning client terminal, after parking, is utilized WiFi fingerprint location, obtain current position, parking stall, then by current parking space information stored in the local data base of positioning client terminal;
D. oppositely car is sought: pass through positioning client terminal, and utilize WiFi fingerprint location, obtain user's current location, and read the parking space information of storage from the local data base of positioning client terminal, Dijkstra is utilized to find shortest path, then show navigator path on the map of positioning client terminal.
2. car method oppositely sought by micro-map according to claim 1, it is characterized in that, described WiFi fingerprint location is after utilizing positioning client terminal to scan WiFi signal, send the MAC Address of corresponding signal strength values and the WiFi signal generator corresponding with this WiFi signal to parking lot server, after parking lot server obtains data, in conjunction with data with existing in WiFi fingerprint database, carry out matching treatment, obtain position location.
3. car method oppositely sought by micro-map according to claim 2, it is characterized in that, that described matching treatment adopts is nearest neighbor method NN, obtains position location.
4. car method oppositely sought by the micro-map according to claim 1,2 or 3, it is characterized in that, in step c, comprises position, parking stall and floor information stored in the parking space information in the local data base of positioning client terminal; In steps d, when utilizing Dijkstra to find path, first find the shortest path of position, parking stall and nearest elevator, then find the shortest path of nearest elevator and current location, thus obtain the shortest path of position, parking stall and current location, then show navigator path on the map of positioning client terminal.
5. car method oppositely sought by the micro-map according to claim 1,2 or 3, it is characterized in that, what described positioning client terminal adopted is mobile phone or the panel computer of being with WiFi function.
6. car method oppositely sought by the micro-map according to claim 1,2 or 3, it is characterized in that, in step c, utilizing WiFi fingerprint location while obtaining current position, parking stall, utilize positioning client terminal to take pictures and fill in parking space information remarks, then by position, parking stall, pictorial information and parking space information remarks simultaneously stored in the local data base of positioning client terminal.
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Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104916156A (en) * | 2015-06-26 | 2015-09-16 | 深圳市车米云图科技有限公司 | Method for acquiring vehicle parking position information and device thereof |
| CN105120426A (en) * | 2015-07-16 | 2015-12-02 | 青岛海信网络科技股份有限公司 | Vehicle finding method and device |
| CN105160926A (en) * | 2015-08-20 | 2015-12-16 | 成都市微泊科技有限公司 | Wireless location technology-based micro map reverse automobile seeking system |
| CN105390019A (en) * | 2015-11-06 | 2016-03-09 | 湖州师范学院 | Intelligent parking lot system implementation method based on Wi-Fi fingerprint positioning and indoor navigation technology |
| CN105405312A (en) * | 2015-11-19 | 2016-03-16 | 惠州Tcl移动通信有限公司 | Method and system of location and navigation in underground garage |
| CN105931481A (en) * | 2016-05-23 | 2016-09-07 | 王�华 | Wireless sensor and radio signal positioning-based intelligent reverse vehicle seeking system |
| CN106846876A (en) * | 2017-03-14 | 2017-06-13 | 广东数相智能科技有限公司 | A kind of car searching method based on video identification and Quick Response Code, system and device |
| CN107172583A (en) * | 2017-03-31 | 2017-09-15 | 捷开通讯(深圳)有限公司 | Storage device, mobile terminal and its localization method and car searching method |
| CN107680409A (en) * | 2017-11-22 | 2018-02-09 | 成都市微泊科技有限公司 | A kind of City-level intelligence curb parking management method based on perceptron |
| CN107833481A (en) * | 2017-09-27 | 2018-03-23 | 杭州分数科技有限公司 | Car searching method, device and vehicle location searching system |
| CN108806311A (en) * | 2018-05-04 | 2018-11-13 | 北京车和家信息技术有限公司 | A kind of vehicle positioning method and relevant device |
| CN110186462A (en) * | 2019-07-23 | 2019-08-30 | 恒大智慧充电科技有限公司 | A kind of cloud platform, air navigation aid, computer equipment and computer readable storage medium |
| CN110471066A (en) * | 2019-07-25 | 2019-11-19 | 东软睿驰汽车技术（沈阳）有限公司 | A kind of location determining method and device |
| CN110533232A (en) * | 2019-08-15 | 2019-12-03 | 哈尔滨工程大学 | A method of calculating the most short evacuation path of passenger boat personnel |
| CN110730421A (en) * | 2019-10-25 | 2020-01-24 | 浙江吉利汽车研究院有限公司 | Intelligent vehicle searching method and system |
| CN111816002A (en) * | 2020-09-04 | 2020-10-23 | 浙江创泰科技有限公司 | Indoor vehicle searching method based on combination of high-level video and Beidou and 5G technologies |
| CN113194412A (en) * | 2021-04-30 | 2021-07-30 | 湖南大学 | Parking lot vehicle searching method and system based on WiFi indoor positioning technology |
| CN113888778A (en) * | 2021-09-22 | 2022-01-04 | 江西昌河汽车有限责任公司 | Automobile Bluetooth key system and calibration method |
| CN114333410A (en) * | 2021-12-30 | 2022-04-12 | 中国联合网络通信集团有限公司 | Vehicle searching method, device, terminal, server and storage medium |
| CN114743400A (en) * | 2022-03-21 | 2022-07-12 | 上海电机学院 | Parking space navigation method of underground garage |
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Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104916156A (en) * | 2015-06-26 | 2015-09-16 | 深圳市车米云图科技有限公司 | Method for acquiring vehicle parking position information and device thereof |
| CN105120426A (en) * | 2015-07-16 | 2015-12-02 | 青岛海信网络科技股份有限公司 | Vehicle finding method and device |
| CN105160926A (en) * | 2015-08-20 | 2015-12-16 | 成都市微泊科技有限公司 | Wireless location technology-based micro map reverse automobile seeking system |
| CN105390019A (en) * | 2015-11-06 | 2016-03-09 | 湖州师范学院 | Intelligent parking lot system implementation method based on Wi-Fi fingerprint positioning and indoor navigation technology |
| CN105405312A (en) * | 2015-11-19 | 2016-03-16 | 惠州Tcl移动通信有限公司 | Method and system of location and navigation in underground garage |
| CN105931481A (en) * | 2016-05-23 | 2016-09-07 | 王�华 | Wireless sensor and radio signal positioning-based intelligent reverse vehicle seeking system |
| CN106846876A (en) * | 2017-03-14 | 2017-06-13 | 广东数相智能科技有限公司 | A kind of car searching method based on video identification and Quick Response Code, system and device |
| CN107172583A (en) * | 2017-03-31 | 2017-09-15 | 捷开通讯(深圳)有限公司 | Storage device, mobile terminal and its localization method and car searching method |
| CN107833481A (en) * | 2017-09-27 | 2018-03-23 | 杭州分数科技有限公司 | Car searching method, device and vehicle location searching system |
| CN107680409A (en) * | 2017-11-22 | 2018-02-09 | 成都市微泊科技有限公司 | A kind of City-level intelligence curb parking management method based on perceptron |
| CN108806311A (en) * | 2018-05-04 | 2018-11-13 | 北京车和家信息技术有限公司 | A kind of vehicle positioning method and relevant device |
| CN110186462A (en) * | 2019-07-23 | 2019-08-30 | 恒大智慧充电科技有限公司 | A kind of cloud platform, air navigation aid, computer equipment and computer readable storage medium |
| CN110471066A (en) * | 2019-07-25 | 2019-11-19 | 东软睿驰汽车技术（沈阳）有限公司 | A kind of location determining method and device |
| CN110533232A (en) * | 2019-08-15 | 2019-12-03 | 哈尔滨工程大学 | A method of calculating the most short evacuation path of passenger boat personnel |
| CN110730421A (en) * | 2019-10-25 | 2020-01-24 | 浙江吉利汽车研究院有限公司 | Intelligent vehicle searching method and system |
| CN111816002A (en) * | 2020-09-04 | 2020-10-23 | 浙江创泰科技有限公司 | Indoor vehicle searching method based on combination of high-level video and Beidou and 5G technologies |
| CN113194412A (en) * | 2021-04-30 | 2021-07-30 | 湖南大学 | Parking lot vehicle searching method and system based on WiFi indoor positioning technology |
| CN113888778A (en) * | 2021-09-22 | 2022-01-04 | 江西昌河汽车有限责任公司 | Automobile Bluetooth key system and calibration method |
| CN114333410A (en) * | 2021-12-30 | 2022-04-12 | 中国联合网络通信集团有限公司 | Vehicle searching method, device, terminal, server and storage medium |
| CN114743400A (en) * | 2022-03-21 | 2022-07-12 | 上海电机学院 | Parking space navigation method of underground garage |
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