NAVIGATION SYSTEM WITH DYNAMIC MAPPING MECHANISM AND METHOD OF OPERATION THEREOF

• US 20180033300A1
• Filed: 07/27/2016
• Published: 02/01/2018
• Est. Priority Date: 07/27/2016
• Status: Active Grant

• Current Assignee: TeleNav Incorporated
• Original Assignee: TeleNav Incorporated
• Inventors: Hansen, Karl C.
• Granted Patent: US 10,176,715 B2
• Time in Patent Office: Days
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/0145 for active traffic flow control
• CPC Class Codes: G08G 1/015 with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
• CPC Class Codes: G08G 1/017 identifying vehicles G08G1/015, G08G1/054 take precedence
• CPC Class Codes: G08G 1/0962 having an indicator mounted inside the vehicle, e.g. giving voice messages
• CPC Class Codes: G08G 1/0965 responding to signals from another vehicle, e.g. emergency vehicle
• CPC Class Codes: G08G 1/096716 where the received information does not generate an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096741 where the source of the transmitted information selects which information to transmit to each vehicle
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station
• CPC Class Codes: G08G 1/096791 where the origin of the information is another vehicle
• CPC Class Codes: G08G 1/096811 where the route is computed offboard
• CPC Class Codes: G08G 1/096827 where the route is computed onboard
• CPC Class Codes: G08G 1/096844 where the complete route is dynamically recomputed based on new data
• CPC Class Codes: G08G 1/162 event-triggered
• CPC Class Codes: G08G 1/167 Driving aids for lane monitoring, lane changing, e.g. blind spot detection
• CPC Class Codes: H04B 1/3822 specially adapted for use in vehicles H04B1/3827 takes precedence
• CPC Class Codes: H04W 4/024 Guidance services
• CPC Class Codes: H04W 4/027 : using movement velocity, acceleration information
• CPC Class Codes: H04W 4/029 : Location-based management or tracking services
• CPC Class Codes: H04W 4/40 : for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 4/46 : for vehicle-to-vehicle communication [V2V]

Abstract

A method of operation of a navigation system includes: identifying a first-device location for representing a smart vehicle; identifying a unintelligent-vehicle location associated with the first-device location, the unintelligent-vehicle location for representing an unintelligent vehicle; determining a smart vehicle data for representing the smart vehicle data from an environmental sensors of the smart vehicle; and generating with a vehicle control circuit, an area profile for the unintelligent-vehicle location, based on the smart vehicle data for representing geographic relationship between the unintelligent vehicle and the smart vehicle, a further vehicle, or a combination thereof.

Claims

1. A method of operation for a navigation system comprising:

identifying a first-device location for representing a smart vehicle;

identifying an unintelligent-vehicle location associated with the first-device location, the unintelligent-vehicle location for representing an unintelligent vehicle;

determining a smart vehicle data for representing the smart vehicle data from an environmental sensors of the smart vehicle; and

generating with a vehicle control circuit an area profile for the unintelligent-vehicle location based on the smart vehicle data for representing geographic relationship between the unintelligent vehicle and the smart vehicle, a further vehicle, or a combination thereof.

2. The method as claimed in claim 1 wherein:

identifying the first-device location includes receiving the first-device location at a second device;

identifying the unintelligent-vehicle location includes determining the unintelligent-vehicle location with the second device;

determining the smart vehicle data includes receiving the smart vehicle data at the second device; and

further comprising;

generating a current driving profile based on the area profile for controlling the unintelligent vehicle according to the current driving profile sent from the second device to a fourth device associated with the unintelligent vehicle.

3. The method as claimed in claim 1 wherein:

identifying the first-device location includes calculating the first-device location with a first device;

identifying the unintelligent-vehicle location includes determining the unintelligent- vehicle location with the first device; and

further comprising;

generating a current driving profile based on the area profile for controlling the unintelligent vehicle according to the current driving profile sent from the first device to a fourth device associated with the unintelligent vehicle.

4. The method as claimed in claim 1 further comprising:

identifying a fourth-device location for representing the further vehicle;

generating a current driving profile based on the smart vehicle data and the fourth-device location for controlling the unintelligent vehicle in response to the further vehicle observed by the smart vehicle; and

wherein;

determining the smart vehicle data includes determining the smart vehicle data for representing the further vehicle sensed by the smart vehicle.

5. The method as claimed in claim 1 further comprising generating an area management profile for collectively controlling the smart vehicle, the unintelligent vehicle, the further vehicle, or a combination thereof to optimize a traffic condition corresponding to the area profile.

6. The method as claimed in claim 1 wherein generating the area profile includes:

determining a relevant vehicle area based on the first-device location, the unintelligent-vehicle location, or a combination thereof; and

generating the area profile including a lane-level relationship for representing the geographic relationship the unintelligent vehicle, the smart vehicle, the further vehicle, or a combination thereof according to one or more traffic lane.

7. The method as claimed in claim 6 further comprising generating a current driving profile including an adjacent lane status, a proximity status, a sudden stop status, an emergency-vehicle notice, an accessory control, or a combination thereof based on the smart vehicle data for controlling the smart vehicle, the unintelligent vehicle, the further vehicle, or a combination thereof.

8. The method as claimed in claim 6 further comprising determining an uploading designation for managing the smart vehicle data from multiple vehicles within a portion of a navigation map.

9. The method as claimed in claim 6 further comprising generating an area management profile including a context-relevant notice or a routing adjustment for the further vehicle corresponding to a portion of the navigation map corresponding to the area profile, a traffic light schedule, a road-external schedule, or a combination thereof for collectively controlling the smart vehicle, the unintelligent vehicle, the further vehicle, or a combination thereof to optimize a traffic condition corresponding to the area profile.

10. The method as claimed in claim 6

determining the relevant vehicle area includes determining the relevant vehicle area based on the first-device location for identifying a portion of a navigation map including the smart vehicle;

determining a device profile based on the smart vehicle data corresponding to the unintelligent-vehicle location for identifying the unintelligent vehicle located at the unintelligent-vehicle location within the relevant vehicle area; and

generating a current driving profile based on the device profile and the lane-level relationship the current driving profile for the controlling the unintelligent vehicle based on the smart vehicle data processed according to the lane-level relationship between the smart vehicle and the unintelligent vehicle.

11. A navigation system comprising:

a control circuit configured to;

identify a first-device location for representing a smart vehicle;

identifying an unintelligent-vehicle location associated with the first-device location, the unintelligent-vehicle location for representing an unintelligent vehicle;

determining a smart vehicle data for representing the smart vehicle data from an environmental sensors of the smart vehicle;

generating an area profile for the unintelligent-vehicle location based on the smart vehicle data for representing geographic relationship between the unintelligent vehicle and the smart vehicle, a further vehicle, or a combination thereof; and

a storage circuit, coupled to the control circuit, configured to store the area profile.

12. The system as claimed in claim 11 wherein the control circuit is configured to:

identify the first-device location based on receiving the first-device location at a second device;

identify the unintelligent-vehicle location based on determining the unintelligent-vehicle location with the second device;

determine the smart vehicle data based on receiving the smart vehicle data at the second device; and

generate a current driving profile based on the area profile for controlling the unintelligent vehicle according to the current driving profile sent from the second device to a fourth device associated with the unintelligent vehicle.

13. The system as claimed in claim 11 wherein the control circuit is configured to:

identify the first-device location based on calculating the first-device location with a first device;

identify the unintelligent-vehicle location based on determining the unintelligent-vehicle location with the first device; and

generate a current driving profile based on the area profile for controlling the unintelligent vehicle according to the current driving profile sent from the first device to a fourth device associated with the unintelligent vehicle.

14. The system as claimed in claim 11 wherein the control circuit is configured to:

identify a fourth-device location for representing the further vehicle;

generate a current driving profile based on the smart vehicle data and the fourth-device location for controlling the unintelligent vehicle in response to the further vehicle observed by the smart vehicle; and

determine the smart vehicle data for representing the further vehicle sensed by the smart vehicle.

15. The system as claimed in claim 11 wherein the control circuit is configured to generate an area management profile for collectively controlling the smart vehicle, the unintelligent vehicle, the further vehicle, or a combination thereof to optimize a traffic condition corresponding to the area profile.

16. A non-transitory computer readable medium including instructions for a navigation system comprising:

identifying a first-device location for representing a smart vehicle;

identifying an unintelligent-vehicle location associated with the first-device location, the unintelligent-vehicle location for representing an unintelligent vehicle;

determining a smart vehicle data for representing the smart vehicle data from an environmental sensors of the smart vehicle; and

generating an area profile for the unintelligent-vehicle location based on the smart vehicle data for representing geographic relationship between the unintelligent vehicle and the smart vehicle, a further vehicle, or a combination thereof.

17. The non-transitory computer readable medium including the instructions as claimed in claim 16 wherein:

identifying the first-device location includes receiving the first-device location at a second device;

identifying the unintelligent-vehicle location includes determining the unintelligent-vehicle location with the second device;

determining the smart vehicle data includes receiving the smart vehicle data at the second device; and

further comprising;

generating a current driving profile based on the area profile for controlling the unintelligent vehicle according to the current driving profile sent from the second device to a fourth device associated with the unintelligent vehicle.

18. The non-transitory computer readable medium including the instructions as claimed in claim 16 wherein:

identifying the first-device location includes calculating the first-device location with a first device;

identifying the unintelligent-vehicle location includes determining the unintelligent-vehicle location with the first device; and

further comprising;

generating a current driving profile based on the area profile for controlling the unintelligent vehicle according to the current driving profile sent from the first device to a fourth device associated with the unintelligent vehicle.

19. The non-transitory computer readable medium including the instructions as claimed in claim 16 further comprising:

identifying a fourth-device location for representing the further vehicle;

generating a current driving profile based on the smart vehicle data and the fourth-device location for controlling the unintelligent vehicle in response to the further vehicle observed by the smart vehicle; and

wherein;

determining the smart vehicle data includes determining the smart vehicle data for representing the further vehicle sensed by the smart vehicle.

20. The non-transitory computer readable medium including the instructions as claimed in claim 16 further comprising generating an area management profile for collectively controlling the smart vehicle, the unintelligent vehicle, the further vehicle, or a combination thereof to optimize a traffic condition corresponding to the area profile.