CN105547319A - Route planning implementation method adopting image recognition for live-action navigation - Google Patents
Route planning implementation method adopting image recognition for live-action navigation Download PDFInfo
- Publication number
- CN105547319A CN105547319A CN201510920567.5A CN201510920567A CN105547319A CN 105547319 A CN105547319 A CN 105547319A CN 201510920567 A CN201510920567 A CN 201510920567A CN 105547319 A CN105547319 A CN 105547319A
- Authority
- CN
- China
- Prior art keywords
- navigation
- carry out
- image recognition
- real scene
- implementation method
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G01C21/3626—Details of the output of route guidance instructions
- G01C21/3647—Guidance involving output of stored or live camera images or video streams
Abstract
The invention discloses a route planning implementation method adopting image recognition for live-action navigation; the method mainly comprises that with combination of the image recognition technology, a live-action picture in the live-action navigation is treated, a live-action crossing is accurately found out, and when navigation information releases a turning prompt, the prompt content is accurately marked in a live-action navigation interface. The method provided by the invention is mainly used for solving the accuracy problem of a live-action navigation device currently used on the market during prompting.
Description
Technical field
The present invention relates to technical field of vehicle, particularly relate to a kind of route planning implementation method utilizing image recognition to carry out real scene navigation.
Background technology
Auto navigation has GPS Global Positioning System (GPS) function, allows you know the accurate location of oneself whenever and wherever possible when driving a car.The function Rang Nin mono-road shortcut such as automatic speech navigation, optional path searching that auto navigation has, advance freely, integrated office, amusement function allow you easily travel, efficiently go on a journey!
Automobile satellite navigation system needs to rely on GPS (GPS) to determine the position of automobile.The most basic, GPS needs longitude and the latitude of knowing automobile.At some in particular cases, GPS also will know that sea level elevation could accurately be located.Had this three groups of data, the accuracy of GPS location often just can reach 2 ~ 3 meters.
Because GPS needs auto-navigation system could work within the direct sight line of synchronous satellite, tunnel, bridge or high-rise all can block this direct sight line, and navigational system cannot be worked.Moreover navigational system utilizes the rule of triangle, geometry to calculate automobile position, so automobile is at least wanted, simultaneously under the sight line of three synchronous satellites, could determine position.Synchronous satellite in the direct visual line of sight of navigational system is more, and it is more accurate to locate.Certainly, most synchronous satellite is all in densely populated metropolitan overhead, so when you are away from city, the effect of navigational system would not excellently even not can work.
The principle of work of gps system resolves the signal received from synchronous satellite there.Be projected in vertical plane, these signals can be expressed as infundibulate of falling one by one visually.When the latter half of these " funnels " have certain overlapping time, the analysis program of GPS just can calculate the coordinate of automobile position.In the process of running car, one be similar to aircraft or steamer navigation gyrostatic device, the position of automobile can be provided continuously.But when satellite-signal is interrupted to some extent, the data that speed counter provides just are used for the blank filled up wherein, and be used for recording running time.
The signal that GPS receives and the information that speed counting device provides, pass through receiver, be supplied to auto-navigation system, and by software system analysis process, on the map overlapping storage.
The way of current real scene navigation is: when waiting needs to occur prompting when occurring turning, be all generally indicate in outdoor scene preview interface with arrow is symbolistic, not accurate enough.User can not be very clear to prompting.The principle that realizes of current real scene navigation method is exactly the outdoor scene route combining true camera at navigation interface, but all reminding turnings are all that information is pointed out in resource according to the map, roughly can only carry out one at navigation interface simply to indicate, can not accurately accurately indicate in conjunction with the real route in outdoor scene.
Summary of the invention
In view of this, the invention provides a kind of route planning implementation method utilizing image recognition to carry out real scene navigation, mainly combine image recognition technology, real picture in real scene navigation is identified, accurately find, when map Information issued reminding turning, real scene navigation interface marks accurately.This method provided by the invention mainly solves the accuracy problem of equipment when pointing out of the real scene navigation used on the market at present.
Technical scheme of the present invention is:
Utilize image recognition to carry out the route planning implementation method of real scene navigation, comprise the following steps:
Obtain the concrete road conditions view data that real scene navigation photographed;
To the view data obtained, carry out data processing, to obtain in picture route frame position accurately;
Turn to requirement and the frame position of map prompting are done and mated;
Carry out Data Synthesis;
The view data of synthesis is outputted to navigation display interface again.
Further, in the concrete road conditions photo that described step acquisition real scene navigation photographed, the mode obtaining concrete road conditions photo is carried out the collection of outdoor scene, and carry out image technique process.
Further, described step is to the view data obtained, carry out data identification, to obtain in picture accurately in route frame position, institute to the process that the view data obtained carries out data processing is: by carrying out multiple tracks that Canny algorithm and Hough algorithm process may exist with acquisition to the view data collected.Further, what described step pointed out map turns to requirement and frame position to do and mate, the method of described coupling comprises: first according to the prompting of navigation, multiple tracks that previous step detects are screened, as turned left according to navigation hint, then in multiple track, filter out the most left track, to obtain the track of mating most.
Further, described step is carried out in Data Synthesis, and the data of synthesizing in described Data Synthesis refer to: the track of drawing track and the navigation information coupling detected; Then Data Synthesis is carried out to both.
The invention has the beneficial effects as follows:
1, road image recognition technology is carried out.Utilize the present road real picture collected in video camera, carry out image recognition, accurately find four crossway during road turning, the outdoor scene road junctions such as lower ring road.
2, at real scene navigation interface, utilize image processing techniques, when appearance needs prompting, accurately suggestion content is indicated the interface of real scene navigation.User is facilitated accurately to understand map information.
Embodiment
Be clearly and completely described the technical scheme in the embodiment of the present invention below, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The route planning implementation method utilizing image recognition to carry out real scene navigation provided by the invention, comprises the following steps:
Obtain the concrete road conditions photo that real scene navigation photographed;
To the photo obtained, carry out data identification, to obtain in picture route frame position accurately;
Turn to requirement and the frame position of map prompting are done and mated;
Carry out Data Synthesis;
The view data of synthesis is outputted to navigation display interface again.
One as technical solution of the present invention is improved, and in the concrete road conditions photo that described step acquisition real scene navigation photographed, the mode obtaining concrete road conditions photo is carried out the collection of outdoor scene, and carry out image technique process.
One as technical solution of the present invention is improved, described step is to the photo obtained, carry out data identification, to obtain in picture accurately in route frame position, institute to the process that the photo obtained carries out data identification is: by carrying out multiple tracks that Canny algorithm and Hough algorithm process may exist with acquisition to the view data collected.
One as technical solution of the present invention is improved, what described step pointed out map turns to requirement and frame position to do and mate, the method of described coupling comprises: first according to the prompting of navigation, multiple tracks that previous step detects are screened, as turned left according to navigation hint, then in multiple track, filter out the most left track, to obtain the track of mating most.
One as technical solution of the present invention is improved, and described step is carried out in Data Synthesis, and the data of synthesizing in described Data Synthesis refer to: the track of drawing track and the navigation information coupling detected; Then Data Synthesis is carried out to both.
Specifically, the data of synthesis mainly two: be first draw the track detected, secondly draw arrow on the track of mating with navigation information and point out to do direction; Track and direction arrow are the data needing synthesis.
One of ordinary skill in the art will appreciate that all or part of flow process realized in above-described embodiment method, that the hardware that can carry out instruction relevant by computer program has come, described program can be stored in a computer read/write memory medium, this program, when performing, can comprise the flow process of the embodiment as above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-OnlyMemory, ROM) or random store-memory body (RandomAccessMemory, RAM) etc.
The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications are also considered as protection scope of the present invention.
Claims (5)
1. utilize image recognition to carry out the route planning implementation method of real scene navigation, it is characterized in that, comprise the following steps:
Obtain the concrete road conditions view data that real scene navigation photographed;
To the view data obtained, carry out data processing, to obtain in picture route frame position accurately;
Turn to requirement and the frame position of map prompting are done and mated;
Carry out Data Synthesis;
The view data of synthesis is outputted to navigation display interface again.
2. utilize image recognition to carry out the route planning implementation method of real scene navigation as claimed in claim 1, it is characterized in that, in the concrete road conditions photo that described step acquisition real scene navigation photographed, the mode obtaining concrete road conditions photo is carried out the collection of outdoor scene, and carry out image technique process.
3. utilize image recognition to carry out the route planning implementation method of real scene navigation as claimed in claim 1, it is characterized in that, described step is to the view data obtained, carry out data identification, to obtain in picture accurately in route frame position, institute to the process that the view data obtained carries out data processing is: by carrying out multiple tracks that Canny algorithm and Hough algorithm process may exist with acquisition to the view data collected.
4. utilize image recognition to carry out the route planning implementation method of real scene navigation as claimed in claim 1, it is characterized in that, what described step pointed out map turns to requirement and frame position to do and mate, the method of described coupling comprises: first according to the prompting of navigation, multiple tracks that previous step detects are screened, as turned left according to navigation hint, then in multiple track, filter out the most left track, to obtain the track of mating most.
5. utilize image recognition to carry out the route planning implementation method of real scene navigation as claimed in claim 1, it is characterized in that, described step is carried out in Data Synthesis, and the data of synthesizing in described Data Synthesis refer to: the track of drawing track and the navigation information coupling detected; Then Data Synthesis is carried out to both.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510920567.5A CN105547319A (en) | 2015-12-11 | 2015-12-11 | Route planning implementation method adopting image recognition for live-action navigation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510920567.5A CN105547319A (en) | 2015-12-11 | 2015-12-11 | Route planning implementation method adopting image recognition for live-action navigation |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105547319A true CN105547319A (en) | 2016-05-04 |
Family
ID=55826673
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510920567.5A Pending CN105547319A (en) | 2015-12-11 | 2015-12-11 | Route planning implementation method adopting image recognition for live-action navigation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105547319A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106092114A (en) * | 2016-06-22 | 2016-11-09 | 江苏大学 | The automobile real scene navigation apparatus of a kind of image recognition and method |
WO2018214079A1 (en) * | 2017-05-24 | 2018-11-29 | 深圳市大疆创新科技有限公司 | Navigation processing method and apparatus, and control device |
CN110164164A (en) * | 2019-04-03 | 2019-08-23 | 浙江工业大学之江学院 | The method for identifying complicated road precision using camera shooting function enhancing Mobile Telephone Gps software |
-
2015
- 2015-12-11 CN CN201510920567.5A patent/CN105547319A/en active Pending
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106092114A (en) * | 2016-06-22 | 2016-11-09 | 江苏大学 | The automobile real scene navigation apparatus of a kind of image recognition and method |
WO2018214079A1 (en) * | 2017-05-24 | 2018-11-29 | 深圳市大疆创新科技有限公司 | Navigation processing method and apparatus, and control device |
CN110164164A (en) * | 2019-04-03 | 2019-08-23 | 浙江工业大学之江学院 | The method for identifying complicated road precision using camera shooting function enhancing Mobile Telephone Gps software |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7928905B2 (en) | Method of using road signs to augment global positioning system (GPS) coordinate data for calculating a current position of a personal navigation device | |
US11604076B2 (en) | Vision augmented navigation | |
CN106441319B (en) | A kind of generation system and method for automatic driving vehicle lane grade navigation map | |
EP3343172B1 (en) | Creation and use of enhanced maps | |
JP2020115348A (en) | Sparse map for autonomous vehicle navigation | |
KR101919366B1 (en) | Apparatus and method for recognizing vehicle location using in-vehicle network and image sensor | |
CN111311902B (en) | Data processing method, device, equipment and machine readable medium | |
JP3958133B2 (en) | Vehicle position measuring apparatus and method | |
WO2015096717A1 (en) | Positioning method and device | |
US20100292895A1 (en) | Driving support device | |
WO2014115563A1 (en) | Driving support device, driving support method, and recording medium storing driving support program | |
RU2016136822A (en) | VEHICLE DRIVING SYSTEM, METHOD OF PERCEPTION AND LOCALIZATION FOR ROAD VEHICLE AND COMPUTER-READABLE MEDIA | |
CN110926487A (en) | Driving assistance method, driving assistance system, computing device, and storage medium | |
CN102889892A (en) | Live-action navigation method and navigation terminal | |
CN110164164B (en) | Method for enhancing accuracy of mobile phone navigation software for identifying complex road by utilizing camera shooting function | |
CN113112524B (en) | Track prediction method and device for moving object in automatic driving and computing equipment | |
CN102012233A (en) | Street view dynamic navigation system and method thereof | |
JP2012155516A (en) | Vehicle behavior recording system | |
CN111739323A (en) | Method and device for acquiring intersection information | |
CN105547319A (en) | Route planning implementation method adopting image recognition for live-action navigation | |
JP2007241468A (en) | Lane change detection device | |
US20190293444A1 (en) | Lane level accuracy using vision of roadway lights and particle filter | |
JP2014173956A (en) | Route guide device and route guide program | |
CN112595335A (en) | Method for generating intelligent traffic stop line and related device | |
US20230136710A1 (en) | Systems and methods for harvesting images for vehicle navigation |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160504 |
|
WD01 | Invention patent application deemed withdrawn after publication |