CN104677367A - Path predication-based interest point searching method - Google Patents
Path predication-based interest point searching method Download PDFInfo
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- CN104677367A CN104677367A CN201310608164.8A CN201310608164A CN104677367A CN 104677367 A CN104677367 A CN 104677367A CN 201310608164 A CN201310608164 A CN 201310608164A CN 104677367 A CN104677367 A CN 104677367A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3476—Special cost functions, i.e. other than distance or default speed limit of road segments using point of interest [POI] information, e.g. a route passing visible POIs
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3679—Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities
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- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Navigation (AREA)
Abstract
A path predication-based interest point searching method comprises the following steps: acquiring the current state information of a vehicle; predicating the subsequent travel path of the vehicle based on the current state information of the vehicle; and carrying out way interest point searching according to the predicted travel path. Path predication is carried out according to the real-time information in the vehicle travel process, so the predicated travel path approaches to a user's trip expectation. The way interest point search based on the predicted path allows obtained interest points to approach to the circumferential area in the forward travel direction of the user. Accurate interest point service convenient for subsequent route program operation is provided for the user.
Description
Technical field
The present invention relates to application and the exploitation of navigation and route service, particularly based on the interest point search method of Trace predict.
Background technology
Nowadays, the continually developing and improve as traveler provides online service on a lot of helpful road of navigational system.These navigational system not only can carry out programme path according to the setting of user to stroke, can also provide the point of interest service that (POI, Point of interest) searches for further to user.Such as, the information such as number, intersection, neighboring area that these navigational system can provide according to user carries out point of interest search, and Search Results is supplied to user.Thus, make user can determine destination rapidly, to carry out route planning pointedly when going on a journey.
Along with further developing of technology, some navigational system also possesses the function along guidance path searching for point of interest, and this will provide interest point information more timely for user, determine suitable point of interest and be easy to carry out route adjustment to facilitate user in navigation procedure.
Summary of the invention
The problem that the present invention solves is to provide a kind of interest point search method, and it is not when user carries out navigation path planning, can provide point of interest search service to user yet.
In order to solve the problem, the interest point search method based on Trace predict provided by the invention comprises: the current state information obtaining vehicle; Based on the subsequent rows inbound path of the current state information prediction vehicle of vehicle; Point of interest search is on the way carried out according to the travel path doped.
Compared with prior art, such scheme has the following advantages: owing to being the Trace predict carried out according to the real-time information in vehicular motion, thus predicted travel path is by expection when going on a journey closer to user.And based on the point of interest search on the way that the path of predicting is carried out, the neighboring area also will obtained point of interest being made more closely to be positioned at user front direct of travel.Thus, will provide for user more accurately and be easier to carry out the point of interest service of subsequent route program operation.
Accompanying drawing explanation
Fig. 1 is a kind of embodiment schematic flow sheet of the interest point search method that the present invention is based on Trace predict;
Fig. 2 is a kind of software simulating schematic diagram of the interest point search method for realizing the present invention is based on Trace predict;
Fig. 3 is the schematic diagram that in a kind of embodiment of the interest point search method that the present invention is based on Trace predict, Trace predict and point of interest search realize;
Fig. 4 is the schematic diagram that in the another kind of embodiment of the interest point search method that the present invention is based on Trace predict, Trace predict and point of interest search realize;
Fig. 5 is the schematic diagram that in another embodiment of the interest point search method that the present invention is based on Trace predict, Trace predict and point of interest search realize.
Embodiment
In the following description, many details have been set forth to make person of ordinary skill in the field more fully understand the present invention.But be apparent that for the technician in art, realization of the present invention can not have some in these details.In addition, should be understood that, the present invention is not limited to introduced specific embodiment.On the contrary, can consider to implement the present invention by the combination in any of characteristic sum key element below, and no matter whether they relate to different embodiments.Therefore, aspect below, feature, embodiment and advantage use for illustrative purposes only and should not be counted as key element or the restriction of claim, unless clearly proposed in the claims.
As introduced in aforementioned background art, the partial navigation system of prior art can provide the service of point of interest search on the way in navigation procedure to user.But the prerequisite that this service realizes is that user has carried out footpath planning of passing by one's way before navigation, and advances according to the path of planning.And when user does not plan guidance path, due to do not have can be for reference driving path, the described navigational system of prior art just cannot provide the service of point of interest search on the way for user.Now, the described navigational system of prior art only can carry out common point of interest search.But the point of interest obtained by this kind of search is usually not accurate enough, cannot be even that user is used.Such as, these points of interest may be some users just past or at user's direct of travel rear apart from far place.
In view of this, the invention provides a kind of interest point search method based on Trace predict, it can when user plan guidance path, and the routing information provided by Trace predict carries out point of interest search.With reference to shown in Fig. 1, according to one embodiment of the present invention, the described interest point search method based on Trace predict comprises: step S100, obtains the current state information of vehicle; Step S200, based on the subsequent rows inbound path of the current state information prediction vehicle of vehicle; Step S300, carries out point of interest search on the way according to the travel path doped.
In above-mentioned embodiment, by obtaining the various status informations of vehicle in real time, for carrying out Trace predict.Vehicle of today can be provided with various sensing equipment and measuring equipment, and due to vehicle bus (CAN, Controller Area Network) introducing, the real-time information of the state in associated vehicle operational process all can for be obtained easily.Therefore, the possible travel path of user can be obtained by Trace predict more exactly based on these information.And the point of interest search carried out according to the path doped will closer to ensuing actual traffic route, think that user provides really available and interest point information accurately.
The present invention is based on the interest point search method of Trace predict by software or hardware implementing.Further, for software simulating, namely can carry out function interpolation or revise to realize on the framework of existing navigation application, also can re-establish new functional module and realize to coordinate with existing navigation application.
Be added to example to carry out function on the framework of existing navigation application below, describe the interest point search method that be the present invention is based on Trace predict by software simulating in detail.
Figure 2 shows that a kind of software architecture example of the navigation application of the interest point search method for realizing the present invention is based on Trace predict, this example is optimized design for the functional module of point of interest search in the software architecture of existing navigation application.With reference to shown in Fig. 2, the software architecture of the navigation application of this example comprises: the functional module 10 providing navigation application interactive interface to user; Realize the functional module 20 of point of interest search; The functional module 30 of navigation hint is provided to user; For the functional module 40 that path planning and point of interest search provide map datum to support; The functional module 50 of realizing route prediction; The functional module 60 of realizing route planning.Wherein, the functional module 20 realizing point of interest search comprises again further: realize along the route searching point of interest planned functional module 21, realize functional module 22 along predicted path searching for point of interest and the functional module 23 that realizes along location finding point of interest.
Wherein, navigation application interactive interface, navigation hint, map datum support, along the route searching point of interest, same as the prior art along the functional realiey mode of location finding point of interest and path planning planned, with reference to the design of prior art, can repeat no more herein.In the driving process of vehicle, the status information in the functional module 50 meeting Real-time Obtaining vehicle travel process of realizing route prediction.Described status information includes but not limited to the direction information of the speed of a motor vehicle, vehicle, the current location etc. of vehicle.Such as, the speed of a motor vehicle can obtain from the wheel speed sensors be installed on wheel; The steering angle that the direction information of vehicle both can have been measured from the steering angle sensor be connected with bearing circle obtains, and also can calculate based on the speed between each wheel of vehicle and obtain; And positional information not only can obtain from vehicle-mounted gyroscope apparatus, also can obtain from the locating module of onboard system (such as GPS device).And the status information of the vehicle that it all can obtain by these above-mentioned sensors and measuring equipment is put on CAN.By reading CAN, the functional module 50 of described realizing route prediction just can obtain these information in real time.After these information of acquisition, the functional module 50 of described realizing route prediction can carry out Trace predict (at set intervals, such as 10 minutes) at the driving process intermittent of vehicle; Or, also when the demand of user by navigation application interactive interface input point of interest search, the path having and endlessly planned can be detected, if the path of endlessly having planned, then starts to carry out Trace predict; Or, Trace predict can also be carried out in real time when vehicle starts to travel.Any mode of concrete selection, can need to determine according to the application of reality.
By the navigation application of this example, not only can realize the function of common navigation path planning and navigation hint, and when known vehicle current location, function along location finding point of interest can be provided to user; When existing path planning, function along path planning searching for point of interest can be provided to user; When obtaining predicted path, function along predicted path searching for point of interest can also be provided to user.
Fig. 3, Fig. 4 and Fig. 5 respectively illustrate the prediction of several realizing route and carry out the example of point of interest search along predicted path.Below in conjunction with Fig. 2, Fig. 3, Fig. 4 and Fig. 5, how realizing route is predicted and carries out point of interest search along predicted path to describe example shown in Fig. 2 in detail.In conjunction with reference to shown in Fig. 2 and Fig. 3, in the process that vehicle travels, the functional module 50 of described realizing route prediction calculates the current sense of displacement D relative to starting point of vehicle by the homeposition (starting point) of such as vehicle and current location
m, and by the short time based on the calculating of the speed of a motor vehicle and steering angle or also can obtain the current travel direction D of vehicle by the calculating of change in location in the short time
d.By sense of displacement D
mwith travel direction D
ddirect of travel (the prediction direction D that subsequent vehicle is possible can be simulated
pr).Again according to prediction direction D
prand the speed of a motor vehicle, the travel path just can extrapolating subsequent vehicle possible (predicted path).The functional module 50 of described realizing route prediction can with the current location of vehicle for the center of circle, and arranging the sector region comprising predicted path is region of search.And realize data to carry out point of interest search in this sector region according to the map along the functional module 22 of predicted path searching for point of interest.It should be noted that, above-mentioned about sense of displacement D
m, travel direction D
dand prediction direction D
praccount form be only citing, the present invention does not restrict this.Such as, sense of displacement D
mcalculatings acquisition can also be carried out by any point of vehicle in driving path (certain starting point also can be regarded as in driving path a bit) and current vehicle position.
The point of interest obtained by this kind of mode, thus can when not carrying out path planning for user provides interest point information on the way due to the periphery at predicted path.And, due to predicted path instruction is the follow-up possible travel path of vehicle, thus the point of interest obtained also will be the place that extended meeting is gone to after vehicle, thus avoid by vehicle just past or be supplied to user at vehicle direct of travel rear apart from far place, make to provide the interest point information of user also more accurate.
Shown in reference Fig. 2 and Fig. 4, sense of displacement D
m, travel direction D
dand prediction direction D
pracquisition pattern all identical with above-mentioned explanation, repeat no more herein.Except the point of interest search mode of the sector region shown in Fig. 3, the functional module 50 of described realizing route prediction also can with the current location of vehicle for starting point, and arranging the rectangular area extended along predicted path is region of search.And the functional module 22 realized along predicted path searching for point of interest will carry out point of interest search according to data according to the map in this rectangular area.Equally can when not carrying out path planning for user provides interest point information on the way by this kind of mode.Further, as Such analysis, the interest point information obtained is also more accurate.
Shown in reference Fig. 2 and Fig. 5, sense of displacement D
m, travel direction D
dand prediction direction D
pracquisition pattern all identical with above-mentioned explanation, repeat no more herein.Except the point of interest search mode of the rectangular area shown in the point of interest search mode of the sector region shown in Fig. 3, Fig. 4, the functional module 50 of described realizing route prediction also can with the current location of vehicle for summit, and arranging the delta-shaped region extended along predicted path is region of search.And the functional module 22 realized along predicted path searching for point of interest will carry out point of interest search according to data according to the map in this rectangular area.Equally can when not carrying out path planning for user provides interest point information on the way by this kind of mode.Further, as Such analysis, the interest point information obtained is also more accurate.
The interest point information obtained by several modes shown in Fig. 3, Fig. 4 and Fig. 5 can be presented to user by navigation application interactive interface, or report interest point information by original navigation hint function to user, or both combine, and report during presenting interest point information to user to user.
Consider the individual demand of user when point of interest search, on the optimized integration of above-mentioned navigation application, also can continue to add the functional module of collecting user preferences, to limit point of interest search condition, obtain the point of interest result more meeting user preferences.User preferences obtains by recording the mode such as the history of point of interest search, the point of interest search requirement of collection user.Such as, what can provide point of interest search requirement by navigation application interactive interface to user arranges interface, to be inputted the point of interest search requirement of collecting user by user.Thus, realizing along the functional module 22 of predicted path searching for point of interest when carrying out point of interest search, if collected the point of interest search requirement of user, then the point of interest that the point of interest search meeting user at the periphery first search of predicted path requires; If have recorded the history of point of interest search, then meet the point of interest of historical record at the periphery first search of predicted path; If the point of interest search having collected user requires and have recorded the history of point of interest search, then the point of interest that the point of interest search meeting user's historical record and user at the periphery first search of predicted path requires.
Although the present invention discloses as above with preferred embodiment, the present invention is not defined in this.Any those skilled in the art, various change done without departing from the spirit and scope of the present invention and amendment, all should include in protection scope of the present invention, and therefore protection scope of the present invention should be as the criterion with claim limited range.
Claims (11)
1. based on an interest point search method for Trace predict, it is characterized in that, comprising: the current state information obtaining vehicle; Based on the subsequent rows inbound path of the current state information prediction vehicle of vehicle; Point of interest search is on the way carried out according to the travel path doped.
2. as claimed in claim 1 based on the point of interest search of Trace predict, it is characterized in that, the current state information of vehicle comprises: one or more in the direction information of the current location of vehicle, the speed of a motor vehicle and vehicle.
3. as claimed in claim 2 based on the point of interest search of Trace predict, it is characterized in that, the subsequent rows inbound path based on the current state information prediction vehicle of vehicle comprises: based on the current location of vehicle and the sense of displacement of driving path calculating vehicle; Current state information based on described sense of displacement and vehicle calculates the follow-up possible direct of travel of vehicle.
4. as claimed in claim 2 based on the point of interest search of Trace predict, it is characterized in that, obtain in any one or combination in the sensor of current state information from the locating module, vehicle of onboard system of vehicle, the gyroscope apparatus in vehicle.
5., as claimed in claim 1 based on the point of interest search of Trace predict, it is characterized in that, the subsequent rows inbound path of described prediction vehicle comprises: vehicle driving process intermittent predict; Or, predict when obtaining the path of the demand of user interest point search and endlessly planning; Or, predict in real time in the driving process of vehicle.
6. as claimed in claim 3 based on the point of interest search of Trace predict, it is characterized in that, carry out point of interest search on the way according to the travel path doped to comprise: with the current location of vehicle for the center of circle, arranging the sector region comprising the travel path doped is region of search; Point of interest search is carried out in described region of search.
7. as claimed in claim 3 based on the point of interest search of Trace predict, it is characterized in that, carry out point of interest search on the way according to the travel path doped to comprise: with the current location of vehicle for starting point, arranging the rectangular area extended along the travel path doped is region of search; Point of interest search is carried out in described region of search.
8. as claimed in claim 3 based on the point of interest search of Trace predict, it is characterized in that, carry out point of interest search on the way according to the travel path doped to comprise: with the current location of vehicle for summit, arranging the delta-shaped region extended along the travel path doped is region of search; Point of interest search is carried out in described region of search.
9. the point of interest search based on Trace predict as described in claim 1 or 3, is characterized in that, also comprise: the point of interest search requirement of collecting user; The travel path that described basis dopes carries out point of interest search on the way and comprises: based on the travel path doped, the point of interest that the point of interest search that first search meets user requires.
10. the point of interest search based on Trace predict as described in claim 1 or 3, is characterized in that, also comprise: the history of record point of interest search and the point of interest search requirement of collection user; The travel path that described basis dopes carries out point of interest search on the way and comprises: based on the travel path doped, the point of interest that the point of interest search that first search meets user's historical record and user requires.
11. point of interest searchs based on Trace predict as described in claim 1 or 3, is characterized in that, also comprise: the history of record point of interest search; The travel path that described basis dopes carries out point of interest search on the way and comprises: based on the travel path doped, first search meets the point of interest of historical record.
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Cited By (12)
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| CN106197456A (en) * | 2016-07-31 | 2016-12-07 | 北京九五智驾信息技术股份有限公司 | The method of automobile navigation |
| CN106708837A (en) * | 2015-08-18 | 2017-05-24 | 高德软件有限公司 | Interest point search method and device |
| CN106767867A (en) * | 2016-12-08 | 2017-05-31 | 努比亚技术有限公司 | Vehicle navigation apparatus and method |
| CN107209015A (en) * | 2015-12-07 | 2017-09-26 | 北京合众思壮科技股份有限公司 | The system and method navigated for land vehicle |
| CN107367287A (en) * | 2016-04-26 | 2017-11-21 | 沃尔沃汽车公司 | User's set on the move is selectively allowed for using the method and system with front entity associated digital content |
| WO2018032632A1 (en) * | 2016-08-19 | 2018-02-22 | 深圳市元征科技股份有限公司 | Early warning method and device for vehicle |
| CN108073727A (en) * | 2018-02-02 | 2018-05-25 | 斑马网络技术有限公司 | The data processing method and device of place search |
| CN109000679A (en) * | 2018-09-21 | 2018-12-14 | 斑马网络技术有限公司 | Path prediction technique, device, system and storage medium |
| CN109839120A (en) * | 2017-11-24 | 2019-06-04 | 北京三快在线科技有限公司 | Stroke planning method, device, medium and electronic equipment |
| CN110542425A (en) * | 2018-05-28 | 2019-12-06 | 百度在线网络技术（北京）有限公司 | navigation path selection method, navigation device, computer equipment and readable medium |
| CN110648546A (en) * | 2018-09-30 | 2020-01-03 | 北京奇虎科技有限公司 | Road condition early warning method and device |
| CN111757265A (en) * | 2020-06-22 | 2020-10-09 | 北京百度网讯科技有限公司 | Method, device, equipment and storage medium for pushing playing content |
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| CN106708837A (en) * | 2015-08-18 | 2017-05-24 | 高德软件有限公司 | Interest point search method and device |
| CN107209015A (en) * | 2015-12-07 | 2017-09-26 | 北京合众思壮科技股份有限公司 | The system and method navigated for land vehicle |
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| CN109839120A (en) * | 2017-11-24 | 2019-06-04 | 北京三快在线科技有限公司 | Stroke planning method, device, medium and electronic equipment |
| CN109839120B (en) * | 2017-11-24 | 2021-05-18 | 北京三快在线科技有限公司 | Route planning method, device, medium and electronic equipment |
| CN108073727A (en) * | 2018-02-02 | 2018-05-25 | 斑马网络技术有限公司 | The data processing method and device of place search |
| CN110542425A (en) * | 2018-05-28 | 2019-12-06 | 百度在线网络技术（北京）有限公司 | navigation path selection method, navigation device, computer equipment and readable medium |
| CN110542425B (en) * | 2018-05-28 | 2021-12-24 | 百度在线网络技术（北京）有限公司 | Navigation path selection method, navigation device, computer equipment and readable medium |
| CN109000679B (en) * | 2018-09-21 | 2021-03-05 | 斑马网络技术有限公司 | Path prediction method, device, system and storage medium |
| CN109000679A (en) * | 2018-09-21 | 2018-12-14 | 斑马网络技术有限公司 | Path prediction technique, device, system and storage medium |
| CN110648546A (en) * | 2018-09-30 | 2020-01-03 | 北京奇虎科技有限公司 | Road condition early warning method and device |
| CN110648546B (en) * | 2018-09-30 | 2021-11-23 | 北京奇虎科技有限公司 | Road condition early warning method and device |
| CN111757265A (en) * | 2020-06-22 | 2020-10-09 | 北京百度网讯科技有限公司 | Method, device, equipment and storage medium for pushing playing content |
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Application publication date: 20150603 |