CN106373415A - Lane guiding method and apparatus - Google Patents
Lane guiding method and apparatus Download PDFInfo
- Publication number
- CN106373415A CN106373415A CN201610919702.9A CN201610919702A CN106373415A CN 106373415 A CN106373415 A CN 106373415A CN 201610919702 A CN201610919702 A CN 201610919702A CN 106373415 A CN106373415 A CN 106373415A
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- Prior art keywords
- vehicle
- lane
- crossing
- default crossing
- track
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096855—Systems involving transmission of navigation instructions to the vehicle where the output is provided in a suitable form to the driver
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- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
The invention discloses a lane guiding method. The method comprises: whether a vehicle is going to arrive at a preset interaction is determined; if so, a traffic image of the preset intersection is obtained; the traffic image of the preset intersection is parsed; and a current optimal driving lane is obtained based on the parsed preset intersection traffic image and the vehicle is guided to drive to the current optimal driving lane. In addition, the invention also discloses a lane guiding apparatus. According to the technical scheme, the road condition of the lane of the preset intersection is checked in real time and the driver is guided to select a proper lane for driving, so that the traffic pressure is alleviated and thus vehicle can be driven on the road smoothly.
Description
Technical field
The invention mainly relates to track guiding field, specifically, it is related to a kind of track guidance method and device.
Background technology
Vehicle is one of common vehicles such as trip in daily life, carrying, plays very important effect.Mesh
In motion, typically all driver selects track according to custom or by eye observation to vehicle in front, but due to sight line
Viewing is limited in scope, and the road conditions for default crossing are it is difficult to judge, it is impossible to effectively guiding vehicle travels, to cause traffic pressure.
Content of the invention
The main object of the present invention is to provide a kind of track guidance method and device it is intended to can not have in solution prior art
Effect guiding vehicle travels, and causes the defect of traffic pressure.
For achieving the above object, track proposed by the present invention guidance method comprises the following steps:
Judge whether vehicle will reach default crossing;
If vehicle will reach default crossing, obtain the traffic image at described default crossing;
Parse the traffic image at described default crossing;
Currently optimum traveling lane is drawn according to the described default crossing traffic image of parsing, guiding vehicle travels to described
Currently optimum traveling lane.
Preferably, described judge whether vehicle will reach the step at default crossing and include:
Detection vehicle and the distance at described default crossing;
Relatively vehicle and the distance at described default crossing and the magnitude relationship of predeterminable range, if vehicle and described default crossing
Distance be less than predeterminable range, then be judged as that vehicle will reach default crossing.
Preferably, the step of the described traffic image obtaining described default crossing includes:
Obtain the traffic image of described default crossing Through Lane, left turn lane and right-turn lane.
Preferably, the described traffic image obtaining described default crossing Through Lane, left turn lane and right-turn lane
Step include:
Shoot the traffic image of described default crossing Through Lane, left turn lane and right-turn lane;Described default road
The image information of mouth Through Lane is shot by least one photographic head being arranged on vehicle frontal region, the image of left turn lane
Information is shot by least one photographic head being arranged on vehicle left front region, and the image information of right-turn lane is by being arranged on car
At least one photographic head in right front region shoots.
Preferably, the described described default crossing traffic image according to parsing draws currently optimum traveling lane, guide car
Travel and to include to the step of described current optimum traveling lane:
The road letter of the current current optimum traveling lane of the traffic image of optimum traveling lane and/or voice broadcast of display
Breath.
Additionally, for achieving the above object, the present invention also provides a kind of track guider, described track guider bag
Include:
Judge module, for judging whether vehicle will reach default crossing;
Acquisition module, for when vehicle will reach default crossing, obtaining the traffic image at described default crossing;
Image analysis module, for parsing the traffic image at described default crossing;
Guiding module, for drawing currently optimum traveling lane, guiding according to the described default crossing traffic image of parsing
Vehicle travels to described current optimum traveling lane.
Preferably, described judge module includes:
Detector unit, for detecting the distance of vehicle and described default crossing;
Comparison and judging unit, for comparing vehicle and the distance at described default crossing and the magnitude relationship of predeterminable range,
If vehicle is less than predeterminable range with the distance at described default crossing, it is judged as that vehicle will reach default crossing.
Preferably, described acquisition module includes:
Acquiring unit, for obtaining the communication chart of described default crossing Through Lane, left turn lane and right-turn lane
Picture.
Preferably, described acquiring unit includes:
Shooting subelement, for shooting the traffic of described default crossing Through Lane, left turn lane and right-turn lane
Image;The image information of described default crossing Through Lane is shot by least one photographic head being arranged on vehicle frontal region,
The image information of left turn lane is shot by least one photographic head being arranged on vehicle left front region, the figure of right-turn lane
As information is shot by least one photographic head being arranged on vehicle right front region.
Preferably, described guiding module includes:
Display unit and/or voice broadcast unit, for show described current optimum traveling lane traffic image and/or
The road information of the current optimum traveling lane of voice broadcast.
The invention discloses a kind of track guidance method and device, when vehicle will reach default crossing, obtain described
Default crossing traffic image, parses to default crossing traffic image, is drawn according to the default crossing traffic image after parsing
Currently optimum traveling lane, guiding vehicle travels to current optimum traveling lane.Technical scheme can be to default crossing
Road conditions accurately judge, can effectively guide vehicle travel, alleviate traffic pressure, make road vehicle travel unobstructed.
Brief description
Fig. 1 is the schematic flow sheet of track of the present invention guidance method first embodiment;
Fig. 2 is the schematic flow sheet of track of the present invention guidance method second embodiment;
Fig. 3 is the schematic flow sheet of track of the present invention guidance method 3rd embodiment;
Fig. 4 is the high-level schematic functional block diagram of track of the present invention guider first embodiment;
Fig. 5 is the refinement high-level schematic functional block diagram of judge module in the guider second embodiment of track of the present invention;
Fig. 6 is the refinement high-level schematic functional block diagram of guiding module in the guider 3rd embodiment of track of the present invention.
The realization of the object of the invention, functional characteristics and advantage will be described further in conjunction with the embodiments referring to the drawings.
Specific embodiment
It should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
The present invention provides a kind of track guidance method, and with reference to Fig. 1, in one embodiment, this track guidance method includes:
Step s10, judges whether vehicle will reach default crossing;
Track provided in an embodiment of the present invention guidance method is mainly used in guiding vehicle to travel.Specifically, in an embodiment
In, predetermined paths are set by Vehicular navigation system, when vehicle travels according to predetermined paths, the crossing in predetermined paths is
The distance between default crossing, navigation system real-time detection vehicle and default crossing, judge that vehicle with the distance at default crossing is
No in the range of predeterminable range, if in the range of predeterminable range, be judged as that vehicle will reach default crossing.Navigation system
System can round-the-clock, continuous, adjust the distance in real time and detected, positioning precision is high, but is not limited to only this detection mode, is similar to
Can apply in radar range finding, infrared distance measurement etc..
Step s20, if vehicle will reach default crossing, obtains the traffic image at described default crossing;
In the present invention program, vehicle and the distance at default crossing, in preset range, illustrate that vehicle will reach default road
Mouthful, set up, by installation photographic head on vehicle or by photographic head between vehicle and crossing, the friendship that the modes such as communication obtain default crossing
Logical image.The default crossing traffic image obtaining includes the friendship of default crossing Through Lane, left turn lane and right-turn lane
Logical image.
Step s30, parses the traffic image at described default crossing;
The traffic image in each track in default crossing is parsed, removes smudgy, the second-rate image such as deceptive movement,
Analysis high definition, the wide image of coverage, to road traffic situation, the jam situation of vehicle, road evenness etc. enter
Screening and sequencing after row analysis, selections crossing is green light, and vehicle fleet size is few, the road not congestion and good track of flatness is as current
Optimum traveling lane guiding vehicle travels it is also possible to by the road conditions track of next alternately traveling lane, and currently optimum
Indicate on the traffic image of traveling lane or alternative traveling lane the specifically front image in track, left turn lane image also
It is the image of right-turn lane, to inform that currently optimum traveling lane or alternative track are Through Lane, left turning vehicle to driver
Road or right-turn lane, human oriented design, Consumer's Experience is more preferable.
Step s40, draws currently optimum traveling lane according to the described default crossing traffic image of parsing, guides vehicle row
Sail to current optimum traveling lane.
The currently optimum traveling lane parsing is sent to display unit show to guide vehicle to travel to currently
Excellent traveling lane, or with the vehicle fleet size on the travel route of the optimum traveling lane of language report and travel route, from road
Mouthful the information such as distance guiding vehicle to travel it is also possible to the mode combining display and voice broadcast to guide vehicle to travel.
In conjunction with the predetermined paths of initial Vehicular navigation system setting, in time predetermined paths are modified, guiding vehicle travels.
Further, with reference to Fig. 2, based on track of the present invention guidance method first embodiment, in track of the present invention guiding side
In method second embodiment, above-mentioned steps s10 include:
Step s11, the distance at detection vehicle and described default crossing;
Step s12, compares vehicle and the distance at described default crossing and the magnitude relationship of predeterminable range, if vehicle with described
The distance at default crossing is less than predeterminable range, then be judged as that vehicle will reach default crossing.
In this embodiment, the distance of vehicle and default crossing is detected, specifically, set in advance by navigation system
Predetermined paths are put, vehicle travels according to predetermined paths, the crossing in predetermined paths is default crossing.Navigation system detects car
Real-time and default crossing between is apart from d1, and is compared with the predeterminable range d1 pre-setting, and when d1 is more than d1, sentences
Break and also do not reach predeterminable range scope for vehicle, do not process, and when d1 is less than d1, be judged as that vehicle reaches predeterminable range model
In enclosing, carry out the image of crossing acquisition, judge road conditions etc..
It should be noted that in embodiments of the invention, the step bag of the described traffic image obtaining described default crossing
Include:
Obtain the traffic image of described default crossing Through Lane, left turn lane and right-turn lane.
In embodiments of the present invention, when vehicle will reach default crossing, will obtain Through Lane, left turn lane and
The traffic image of right-turn lane, as the foundation subsequently judging road conditions.
Further, in the embodiment of the present invention, described acquisition described default crossing Through Lane, left turn lane and the right side
The step of the traffic image of turning roadway includes:
Shoot the traffic image of described default crossing Through Lane, left turn lane and right-turn lane;Described default road
The image information of mouth Through Lane is shot by least one photographic head being arranged on vehicle frontal region, the image of left turn lane
Information is shot by least one photographic head being arranged on vehicle left front region, and the image information of right-turn lane is by being arranged on car
At least one photographic head in right front region shoots.
In vehicle, the road to default crossing Through Lane, left turn lane and right-turn lane at least three photographic head is set
Condition is shot, and one of them is arranged on vehicle frontal region, and in order to shoot the traffic image of Through Lane, one is arranged on car
Left front region, in order to shoot the traffic image of left turn lane, also one is arranged on vehicle right front region, in order to clap
Take the photograph the traffic image of right-turn lane.360 degree of full-view cameras can also be installed on vehicle top, will reach for vehicle pre-
If shooting vehicle front track, the traffic image of left turn lane and right-turn lane during crossing;Or by default crossing
Through Lane photographic head, set up communication, each track between left turn lane photographic head and right-turn lane photographic head and vehicle
Different addresses are set between photographic head and vehicle, triggering communication before vehicle reaches default crossing, each track is imaged
Traffic image captured by head is sent to the guider of the present embodiment, with the real-time traffic feelings understanding the default each track in crossing
Condition.
Further, with reference to Fig. 3, based on track of the present invention guidance method second embodiment, in track of the present invention guiding side
In method 3rd embodiment, above-mentioned steps s40 include:
Step s41, the display currently traffic image of optimum traveling lane and/or voice broadcast currently optimum traveling lane
Road information.
The currently optimum traveling lane parsing is sent to display unit show to guide vehicle to travel to currently
Excellent traveling lane, or with the vehicle fleet size on the travel route of the optimum traveling lane of language report and travel route, from road
Mouthful the information such as distance guiding vehicle to travel it is also possible to the mode combining display and voice broadcast to guide vehicle to travel.
Or current optimum traveling lane and alternative traveling lane are all sent to display unit and show, and guides driver
Select optimum traveling lane or alternative traveling lane to travel in conjunction with the driving habit of oneself and hobby, after selected travel route, lead to
Cross and travel route is carried out with navigation display and/or to the vehicle fleet size on travel route and travel route, with a distance from crossing
The mode carrying out voice broadcast etc. information to guide vehicle to travel.Simultaneously the size of voice broadcast sound and tone color be set to permissible
Adjust, can need to adjust size or the male voice female voice of sound according to driver, if think that voice broadcast interference is driven thought
Voice broadcast can also be turned off as needed in road, guides vehicle to travel in the way of hommization.And combine initial automobile navigation
Predetermined paths are modified by the predetermined paths of system setting.Predetermined paths as started setting up are that the default crossing of arrival is backward
Turn left, after parsing by the image of crossing, find that left turn lane occurs vehicle accident to cause a large amount of vehicle congestions, and straight traffic
Preferably, then, after guiding driver straight trip, predetermined paths are modified to and first keep straight on stretch more to the left road road conditions by navigation system
Turn and reach the original road needing left-hand bend, specifically also need to navigation system and road is again planned according to traffic roadmap
Line.
Using the method for the present embodiment, driver can select most suitable road row according to the lane information of display
Sail, the time of driver can be saved, effectively guiding vehicle travels, and alleviates traffic pressure simultaneously, so that road vehicle is travelled
Unimpeded.
The present invention also provides a kind of track guider, and with reference to Fig. 4, in one embodiment, the track that the present invention provides is led
Include to device:
Judge module 10, for judging whether vehicle will reach default crossing;
Track provided in an embodiment of the present invention guidance method is mainly used in guiding vehicle to travel.Specifically, in an embodiment
In, predetermined paths are set by Vehicular navigation system, when vehicle travels according to predetermined paths, the crossing in predetermined paths is
The distance between default crossing, navigation system real-time detection vehicle and default crossing, judge that vehicle with the distance at default crossing is
No in the range of predeterminable range, if in the range of predeterminable range, be judged as that vehicle will reach default crossing.Navigation system
System can round-the-clock, continuous, adjust the distance in real time and detected, positioning precision is high, but is not limited to only this detection mode, is similar to
Can apply in radar range finding, infrared distance measurement etc..
Acquisition module 20, for when vehicle will reach default crossing, obtaining the traffic image at described default crossing;
In the present invention program, vehicle and the distance at default crossing, in preset range, illustrate that vehicle will reach default road
Mouthful, set up, by installation photographic head on vehicle or by photographic head between vehicle and crossing, the friendship that the modes such as communication obtain default crossing
Logical image.The default crossing traffic image obtaining includes the friendship of default crossing Through Lane, left turn lane and right-turn lane
Logical image.
Image analysis module 30, for parsing the traffic image at described default crossing;
The traffic image in each track in default crossing is parsed, removes smudgy, the second-rate image such as deceptive movement,
Analysis high definition, the wide image of coverage, to road traffic situation, the jam situation of vehicle, road evenness etc. enter
Screening and sequencing after row analysis, selections crossing is green light, and vehicle fleet size is few, the road not congestion and good track of flatness is as current
Optimum traveling lane guiding vehicle travels it is also possible to by the road conditions track of next alternately traveling lane, and currently optimum
Indicate on the traffic image of traveling lane or alternative traveling lane the specifically front image in track, left turn lane image also
It is the image of right-turn lane, to inform that currently optimum traveling lane or alternative track are Through Lane, left turning vehicle to driver
Road or right-turn lane, human oriented design, Consumer's Experience is more preferable.
Guiding module 40, for drawing currently optimum traveling lane according to the described default crossing traffic image of parsing, draws
Guide-car travels to described current optimum traveling lane.
The currently optimum traveling lane parsing is sent to display unit show to guide vehicle to travel to currently
Excellent traveling lane, or with the vehicle fleet size on the travel route of the optimum traveling lane of language report and travel route, from road
Mouthful the information such as distance guiding vehicle to travel it is also possible to the mode combining display and voice broadcast to guide vehicle to travel.
In conjunction with the predetermined paths of initial Vehicular navigation system setting, in time predetermined paths are modified, guiding vehicle travels.
Further, with reference to Fig. 5, based on track of the present invention guider first embodiment, guide dress in track of the present invention
Put in second embodiment, above-mentioned judge module 10 includes:
Detector unit 11, for detecting the distance of vehicle and described default crossing;
Comparison and judging unit 12, are closed with the distance at described default crossing and the size of predeterminable range for comparing vehicle
System, if vehicle is less than predeterminable range with the distance at described default crossing, is judged as that vehicle will reach default crossing.
In the present embodiment, the distance of vehicle and default crossing is detected, specifically, pre-set by navigation system
Good predetermined paths, vehicle travels according to predetermined paths, and the crossing in predetermined paths is default crossing.Navigation system detects vehicle
Real-time and default crossing between is apart from d1, and is compared with the predeterminable range d1 pre-setting, and when d1 is more than d1, judges
Also do not reach predeterminable range scope for vehicle, do not process, and when d1 is less than d1, be judged as that vehicle reaches predeterminable range scope
Interior, carry out the image of crossing acquisition, judge road conditions etc..
It should be noted that in embodiments of the invention, described acquisition module includes:
Acquiring unit, for obtaining the communication chart of described default crossing Through Lane, left turn lane and right-turn lane
Picture.
In embodiments of the present invention, when vehicle will reach default crossing, will obtain Through Lane, left turn lane and
The traffic image of right-turn lane, as the foundation subsequently judging road conditions.
Further, in the embodiment of the present invention, described acquiring unit includes:
Shooting subelement, for shooting the traffic of described default crossing Through Lane, left turn lane and right-turn lane
Image;The image information of described default crossing Through Lane is shot by least one photographic head being arranged on vehicle frontal region,
The image information of left turn lane is shot by least one photographic head being arranged on vehicle left front region, the figure of right-turn lane
As information is shot by least one photographic head being arranged on vehicle right front region.
In vehicle, the road to default crossing Through Lane, left turn lane and right-turn lane at least three photographic head is set
Condition is shot, and one of them is arranged on vehicle frontal region, and in order to shoot the traffic image of Through Lane, one is arranged on car
Left front region, in order to shoot the traffic image of left turn lane, also one is arranged on vehicle right front region, in order to clap
Take the photograph the traffic image of right-turn lane.360 degree of full-view cameras can also be installed on vehicle top, will reach for vehicle pre-
If shooting vehicle front track, the traffic image of left turn lane and right-turn lane during crossing;Or by default crossing
Through Lane photographic head, set up communication, each track between left turn lane photographic head and right-turn lane photographic head and vehicle
Different addresses are set between photographic head and vehicle, triggering communication before vehicle reaches default crossing, each track is imaged
Traffic image captured by head is sent to the guider of the present embodiment, with the real-time traffic feelings understanding the default each track in crossing
Condition.
Further, with reference to Fig. 6, based on track of the present invention guider second embodiment, guide dress in track of the present invention
Put in 3rd embodiment, above-mentioned guiding module 40 includes:
Display unit 41 and/or voice broadcast unit 42, for showing the traffic image of described current optimum traveling lane
And/or the road information of the current optimum traveling lane of voice broadcast.
The currently optimum traveling lane parsing is sent to display unit show to guide vehicle to travel to currently
Excellent traveling lane, or with the vehicle fleet size on the travel route of the optimum traveling lane of language report and travel route, from road
Mouthful the information such as distance guiding vehicle to travel it is also possible to the mode combining display and voice broadcast to guide vehicle to travel.
Or current optimum traveling lane and alternative traveling lane are all sent to display unit and show, and guides driver
Select optimum traveling lane or alternative traveling lane to travel in conjunction with the driving habit of oneself and hobby, after selected travel route, lead to
Cross and travel route is carried out with navigation display and/or to the vehicle fleet size on travel route and travel route, with a distance from crossing
The mode carrying out voice broadcast etc. information to guide vehicle to travel.Simultaneously the size of voice broadcast sound and tone color be set to permissible
Adjust, can need to adjust size or the male voice female voice of sound according to driver, if think that voice broadcast interference is driven thought
Voice broadcast can also be turned off as needed in road, guides vehicle to travel in the way of hommization.And combine initial automobile navigation
Predetermined paths are modified by the predetermined paths of system setting.Predetermined paths as started setting up are that the default crossing of arrival is backward
Turn left, after parsing by the image of crossing, find that left turn lane occurs vehicle accident to cause a large amount of vehicle congestions, and straight traffic
Preferably, then, after guiding driver straight trip, predetermined paths are modified to and first keep straight on stretch more to the left road road conditions by navigation system
Turn and reach the original road needing left-hand bend, specifically also need to navigation system and road is again planned according to traffic roadmap
Line.
Using the method for the present embodiment, driver can select most suitable road row according to the lane information of display
Sail, the time of driver can be saved, effectively guiding vehicle travels, and alleviates traffic pressure simultaneously, so that road vehicle is travelled
Unimpeded.
The foregoing is only the preferred embodiments of the present invention, not thereby limit the scope of the claims of the present invention, send out for every
Equivalent structure or equivalent flow conversion that bright description and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included in the scope of patent protection of the present invention.
Claims (10)
1. a kind of track guidance method is it is characterised in that described track bootstrap technique comprises the following steps:
Judge whether vehicle will reach default crossing;
If vehicle will reach default crossing, obtain the traffic image at described default crossing;
Parse the traffic image at described default crossing;
Currently optimum traveling lane is drawn according to the described default crossing traffic image of parsing, guiding vehicle travels to described current
Optimum traveling lane.
2. track as claimed in claim 1 guidance method is it is characterised in that described judge whether vehicle will reach default road
The step of mouth includes:
Detection vehicle and the distance at described default crossing;
Relatively vehicle and the distance at described default crossing and the magnitude relationship of predeterminable range, if vehicle and described default crossing away from
From less than predeterminable range, then it is judged as that vehicle will reach default crossing.
3. track as claimed in claim 1 guidance method is it is characterised in that the traffic image at the described default crossing of described acquisition
Step include:
Obtain the traffic image of described default crossing Through Lane, left turn lane and right-turn lane.
4. track as claimed in claim 3 guidance method it is characterised in that described acquisition described default crossing Through Lane,
The step of the traffic image of left turn lane and right-turn lane includes:
Shoot the traffic image of described default crossing Through Lane, left turn lane and right-turn lane;Described default crossing is straight
The image information of runway is shot by least one photographic head being arranged on vehicle frontal region, the image information of left turn lane
Shot by least one photographic head being arranged on vehicle left front region, the image information of right-turn lane is right by being arranged on vehicle
At least one photographic head of front region shoots.
5. track as claimed in claim 1 guidance method it is characterised in that described according to parsing described default crossing traffic
Image draws currently optimum traveling lane, and guiding vehicle travels and includes to the step of described current optimum traveling lane:
The road information of the current current optimum traveling lane of the traffic image of optimum traveling lane and/or voice broadcast of display.
6. a kind of track guider is it is characterised in that described track guider includes:
Judge module, for judging whether vehicle will reach default crossing;
Acquisition module, for when vehicle will reach default crossing, obtaining the traffic image at described default crossing;
Image analysis module, for parsing the traffic image at described default crossing;
Guiding module, for drawing currently optimum traveling lane according to the described default crossing traffic image of parsing, guides vehicle
Travel to described current optimum traveling lane.
7. track as claimed in claim 6 guider is it is characterised in that described judge module includes:
Detector unit, for detecting the distance of vehicle and described default crossing;
Comparison and judging unit, for comparing vehicle and the distance at described default crossing and the magnitude relationship of predeterminable range, if car
It is less than predeterminable range with the distance at described default crossing, then be judged as that vehicle will reach default crossing.
8. track as claimed in claim 6 guider is it is characterised in that described acquisition module includes:
Acquiring unit, for obtaining the traffic image of described default crossing Through Lane, left turn lane and right-turn lane.
9. track as claimed in claim 8 guider is it is characterised in that described acquiring unit includes:
Shooting subelement, for shooting the traffic image of described default crossing Through Lane, left turn lane and right-turn lane;
The image information of described default crossing Through Lane is shot by least one photographic head being arranged on vehicle frontal region, turns left
The image information in track is shot by least one photographic head being arranged on vehicle left front region, the image information of right-turn lane
Shot by least one photographic head being arranged on vehicle right front region.
10. track as claimed in claim 6 guider is it is characterised in that described guiding module includes:
Display unit and/or voice broadcast unit, for showing traffic image and/or the voice of described current optimum traveling lane
Report the road information of currently optimum traveling lane.
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CN201610919702.9A CN106373415A (en) | 2016-10-20 | 2016-10-20 | Lane guiding method and apparatus |
PCT/CN2017/071215 WO2018072354A1 (en) | 2016-10-20 | 2017-01-16 | Lane guide method and device |
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CN201610919702.9A CN106373415A (en) | 2016-10-20 | 2016-10-20 | Lane guiding method and apparatus |
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1719490A (en) * | 2004-07-07 | 2006-01-11 | 株式会社电装 | Vehicular navigation system |
CN103827635A (en) * | 2011-11-02 | 2014-05-28 | 爱信艾达株式会社 | Lane guidance display system, lane guidance display method, and lane guidance display program |
KR20140071174A (en) * | 2012-12-03 | 2014-06-11 | 현대자동차주식회사 | Lane guide device in vehicle and method thereof |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100836677B1 (en) * | 2006-09-19 | 2008-06-10 | 주식회사 레인콤 | Navigation System Equipped with Auxiliary Display |
CN101572005A (en) * | 2008-04-30 | 2009-11-04 | 奥城同立科技开发(北京)有限公司 | Method for displaying and controlling driveway travel directions |
CN103606291B (en) * | 2013-12-03 | 2016-02-03 | 广汽吉奥汽车有限公司 | A kind of information processing method, Apparatus and system |
CN104504924A (en) * | 2014-11-05 | 2015-04-08 | 成都迅德科技有限公司 | Intersection vehicle road condition display system |
-
2016
- 2016-10-20 CN CN201610919702.9A patent/CN106373415A/en active Pending
-
2017
- 2017-01-16 WO PCT/CN2017/071215 patent/WO2018072354A1/en active Application Filing
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1719490A (en) * | 2004-07-07 | 2006-01-11 | 株式会社电装 | Vehicular navigation system |
CN103827635A (en) * | 2011-11-02 | 2014-05-28 | 爱信艾达株式会社 | Lane guidance display system, lane guidance display method, and lane guidance display program |
KR20140071174A (en) * | 2012-12-03 | 2014-06-11 | 현대자동차주식회사 | Lane guide device in vehicle and method thereof |
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