Autonomous vehicle navigation based on recognized landmarks

Patent metadata

Field	Value
Publication number	US-9623905-B2
Application number	US-201615273030-A
Country	US
Kind code	B2
Filing date	Sep 22, 2016
Priority date	Feb 10, 2015
Publication date	Apr 18, 2017
Grant date	Apr 18, 2017

Abstract

A system for autonomously navigating a vehicle along a road segment is disclosed. The system may have at least one processor. The processor may be programmed to receive from an image capture device at least one image representative of an environment of the vehicle. The processor may also be programmed to analyze the at least one image to identify at least one recognized landmark. Further, the processor may be programmed to determine a current location of the vehicle relative to a predetermined road model trajectory associated with the road segment based, at least in part, on a predetermined location of the recognized landmark. In addition, the processor may be programmed to determine an autonomous steering action for the vehicle based on a direction of the predetermined road model trajectory at the determined current location of the vehicle relative to the predetermined road model trajectory.

First claim

What is claimed is:

1. A system for autonomously navigating a vehicle along a road segment, the system comprising:
at least one processor programmed to:
receive from an image capture device at least one image representative of an environment of the vehicle;
analyze the at least one image to identify at least one recognized landmark;
determine a current location of the vehicle relative to a predetermined road model trajectory associated with the road segment based, at least in part, on a predetermined location of the recognized landmark; and
determine an autonomous steering action for the vehicle based on a direction of the predetermined road model trajectory at the determined current location of the vehicle relative to the predetermined road model trajectory.

2. The system of claim 1 , wherein the recognized landmark includes at least one of a traffic sign, an arrow marking, a lane marking, a dashed lane marking, a traffic light, a stop line, a directional sign, a reflector, a landmark beacon, or a lamppost.

3. The system of claim 1 , wherein the recognized landmark includes a change in spacing of lines on the road segment.

4. The system of claim 1 , wherein the recognized landmark includes a sign for a business.

5. The system of claim 1 , wherein the predetermined road model trajectory includes a three-dimensional polynomial representation of a target trajectory along the road segment.

6. The system of claim 1 , wherein navigation between recognized landmarks includes integration of vehicle velocity to determine a location of the vehicle along the predetermined road model trajectory.

7. The system of claim 1 , wherein the processor is further programmed to adjust a steering system of the vehicle based on the autonomous steering action to navigate the vehicle.

8. The system of claim 1 , wherein the processor is further programmed to:
determine a distance of the vehicle from the at least one recognized landmark; and
determine whether the vehicle is positioned on the predetermined road model trajectory associated with the road segment based on the distance.

9. The system of claim 8 , wherein the processor is further programmed to adjust the steering system of the vehicle to move the vehicle from a current position of the vehicle to a position on the predetermined road model trajectory when the vehicle is not positioned on the predetermined road model trajectory.

10. A vehicle, comprising:
a body;
at least one image capture device configured to acquire at least one image representative of an environment of the vehicle; and
at least one processor programmed to:
receive from the at least one image capture device the at least one image;
analyze the at least one image to identify at least one recognized landmark;
determine a current location of the vehicle relative to a predetermined road model trajectory associated with the road segment based, at least in part, on a predetermined location of the recognized landmark; and
determine an autonomous steering action for the vehicle based on a direction of the predetermined road model trajectory at the determined current location of the vehicle relative to the predetermined road model trajectory.

11. The vehicle of claim 10 , wherein the recognized landmark includes at least one of a traffic sign, an arrow marking, a lane marking, a dashed lane marking, a traffic light, a stop line, a directional sign, a reflector, a landmark beacon, a lamppost, a change is spacing of lines on the road, or a sign for a business.

12. The vehicle of claim 10 , wherein the predetermined road model trajectory includes a three-dimensional polynomial representation of a target trajectory along the road segment.

13. The vehicle of claim 10 , wherein navigation between recognized landmarks includes integration of vehicle velocity to determine a location of the vehicle along the predetermined road model trajectory.

14. The vehicle of claim 10 , wherein the processor is further programmed to adjust the steering system of the vehicle based on the autonomous steering action to navigate the vehicle.

15. The vehicle of claim 10 , wherein the processor is further programmed to:
determine a distance of the vehicle from the at least one recognized landmark; and
determine whether the vehicle is positioned on the predetermined road model trajectory associated with the road segment based on the distance.

16. The vehicle of claim 15 , wherein the processor is further programmed to adjust the steering system of the vehicle to move the vehicle from a current position of the vehicle to a position on the predetermined road model trajectory when the vehicle is not positioned on the predetermined road model trajectory.

17. A method of navigating a vehicle, comprising:
receiving, from an image capture device associated with the vehicle, at least one image representative of an environment of the vehicle;
analyzing, using a processor associated with the vehicle, the at least one image to identify at least one recognized landmark;
determining a current position of the vehicle relative to a predetermined road model trajectory associated with the road segment based, at least in part, on a predetermined location of the recognized landmark;
determining an autonomous steering action for the vehicle based on a direction of the predetermined road model trajectory at the determined current location of the vehicle relative to the predetermined road model trajectory; and
adjusting a steering system of the vehicle based on the autonomous steering action to navigate the vehicle.

18. The method of claim 17 , further including determining a location of the vehicle along the predetermined road model trajectory by integrating the vehicle velocity.

19. The method of claim 17 , further including:
determining, using the processor, a distance of the vehicle from the at least one recognized landmark; and
determining whether the vehicle is positioned on the predetermined road model trajectory associated with the road segment based on the distance.

20. The method of claim 19 , further including:
determining a transformation required to move the vehicle from a current position of the vehicle to a position on the predetermined road model trajectory; and
adjusting the steering system of the vehicle based on the transformation.

Assignees

• Mobileye Vision Technologies Ltd

Inventors

• Shashua Amnon
• Gdalyahu Yoram
• Springer Ofer
• Reisman Aran
• Braunstein Daniel

Classifications

• G01C21/32

  Structuring or formatting of map data · CPC title

• G01C21/30 Primary

  Map- or contour-matching · CPC title

• B60W2555/60

  Traffic rules, e.g. speed limits or right of way · CPC title

• B60W30/14

  {Adaptive} cruise control · CPC title

• G01C21/36

  Input/output arrangements for on-board computers · CPC title