NAVIGATION SYSTEM WITH VEHICLE POSITION MECHANISM AND METHOD OF OPERATION THEREOF

• US 20200132497A1
• Filed: 10/26/2018
• Published: 04/30/2020
• Est. Priority Date: 10/26/2018
• Status: Active Grant

• Current Assignee: TeleNav Incorporated
• Original Assignee: TeleNav Incorporated
• Inventors: Glebov, Alexander G., Shinkar, Manuj, Koh, Kok Wei, Aist, Gregory Stewart, Jin, HaiPing, Devi, Sarvesh Bansilal, Grover, Shalu, Ren, Jinghai, Chao, Yi-Chung
• Granted Patent: US 11,933,626 B2
• Time in Patent Office: Days
• CPC Class Codes: G01C 21/16 by integrating acceleration or speed, i.e. inertial navigation
• CPC Class Codes: G01C 21/3602 Input other than that of destination using image analysis, e.g. detection of road signs, lanes, buildings, real preceding vehicles using a camera
• CPC Class Codes: G01C 21/3658 Lane guidance
• CPC Class Codes: G01C 21/38 Electronic maps specially adapted for navigation; Updating thereof
• CPC Class Codes: G05D 1/0088 characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours using knowledge based models G06N5/00
• CPC Class Codes: G05D 1/81 Handing over between on-board automatic and on-board manual control
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06V 20/588 Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G08G 1/167 Driving aids for lane monitoring, lane changing, e.g. blind spot detection

Abstract

A navigation system includes: a communication unit configured to receive vehicle environment information of a user vehicle, the vehicle environment information including proximate vehicle information representing proximately located vehicles relative to the user vehicle; and a control unit, coupled to the communication unit, configured to: determine lane reference vehicles from the proximately located vehicles based on a vehicle type of the proximately located vehicles; monitor the relative location of the lane reference vehicles; generate a road lane model including a lane delineation estimation based on the relative location of the lane reference vehicles; and calculate a lane position of the user vehicle according to the lane delineation estimation based on a lateral position shift of the user vehicle.

Claims

1. A navigation system comprising:

a communication unit configured to receive vehicle environment information of a user vehicle, the vehicle environment information including proximate vehicle information representing proximately located vehicles relative to the user vehicle; and

a control unit, coupled to the communication unit, configured to;

determine lane reference vehicles from the proximately located vehicles based on a vehicle type of the proximately located vehicles;

monitor the relative location of the lane reference vehicles;

generate a road lane model including a lane delineation estimation based on the relative location of the lane reference vehicles; and

calculate a lane position of the user vehicle according to the lane delineation estimation based on a lateral position shift of the user vehicle.

2. The system as claimed in claim 1 wherein the control unit is configured to:

determine an initial roadway position of the user vehicle upon entry of the user vehicle onto a current roadway; and

calculate the lane position of the user vehicle based on the lateral position shift of the user vehicle relative to the initial roadway position.

3. The system as claimed in claim 1 wherein the control unit is configured to:

identify a vehicle lane artifact from the vehicle environment information; and

generate the road lane model based on the vehicle lane artifact.

4. The system as claimed in claim 1 wherein the control unit is configured to:

identify a static roadway element from the vehicle environment information; and

generate the road lane model based on the static roadway element.

5. The system as claimed in claim 1 wherein the control unit is configured to generate the road lane model based on map information.

6. The system as claimed in claim 1 wherein the control unit is configured to calculate the lateral position shift from an inertial measurement received from an inertial measurement unit integrated with the user vehicle.

7. The system as claimed in claim 1 wherein the control unit is configured to generate the road lane model during autonomous operation of the user vehicle.

8. A method of operation of a navigation system comprising:

receiving vehicle environment information of a user vehicle, the vehicle environment information including proximate vehicle information representing proximately located vehicles relative to the user vehicle;

determining lane reference vehicles from the proximately located vehicles based on a vehicle type of the proximately located vehicles;

monitoring the relative location of the lane reference vehicles;

generating a road lane model including a lane delineation estimation based on the relative location of the lane reference vehicles; and

calculating a lane position of the user vehicle according to the lane delineation estimation based on a lateral position shift of the user vehicle.

9. The method as claimed in claim 8 further comprising:

determining an initial roadway position of the user vehicle upon entry of the user vehicle onto a current roadway; and

calculating the lane position of the user vehicle based on the lateral position shift of the user vehicle relative to the initial roadway position.

10. The method as claimed in claim 8 further comprising:

identifying a vehicle lane artifact from the vehicle environment information; and

wherein;

generating the road lane model includes generating the road lane model based on the vehicle lane artifact.

11. The method as claimed in claim 8 further comprising:

identifying a static roadway element from the vehicle environment information; and

wherein;

generating the road lane model includes generating the road lane model based on the static roadway element.

12. The method as claimed in claim 8 wherein generating the road lane model includes generating the road lane model based on map information.

13. The method as claimed in claim 8 further comprising calculating the lateral position shift from an inertial measurement received from an inertial measurement unit integrated with the user vehicle.

14. The method as claimed in claim 8 wherein generating the road lane model includes generating the road lane model during autonomous operation of the user vehicle.

15. A non-transitory computer readable medium including instructions executable by a control circuit for a navigation system, the instructions comprising:

receiving vehicle environment information of a user vehicle, the vehicle environment information including proximate vehicle information representing proximately located vehicles relative to the user vehicle;

determining lane reference vehicles from the proximately located vehicles based on a vehicle type of the proximately located vehicles;

monitoring the relative location of the lane reference vehicles;

generating a road lane model including a lane delineation estimation based on the relative location of the lane reference vehicles; and

calculating a lane position of the user vehicle according to the lane delineation estimation based on a lateral position shift of the user vehicle.

16. The non-transitory computer readable medium as claimed in claim 15,

wherein the instructions include:

determining an initial roadway position of the user vehicle upon entry of the user vehicle onto a current roadway; and

calculating the lane position of the user vehicle based on the lateral position shift of the user vehicle relative to the initial roadway position.

17. The non-transitory computer readable medium as claimed in claim 15,

wherein the instructions include:

identifying a vehicle lane artifact from the vehicle environment information; and

generating the road lane model includes generating the road lane model based on the vehicle lane artifact.

18. The non-transitory computer readable medium as claimed in claim 15,

wherein the instructions include:

identifying a static roadway element from the vehicle environment information; and

generating the road lane model includes generating the road lane model based on the static roadway element.

19. The non-transitory computer readable medium as claimed in claim 15, wherein the instructions include calculating the lateral position shift from an inertial measurement received from an inertial measurement unit integrated with the user vehicle.

20. The non-transitory computer readable medium as claimed in claim 15, wherein the instructions include generating the road lane model includes generating the road lane model during autonomous operation of the user vehicle.