VEHICLE LOCALIZATION USING SURFACE PENETRATING RADAR

• US 20140121964A1
• Filed: 03/13/2013
• Published: 05/01/2014
• Est. Priority Date: 10/25/2012
• Status: Active Grant

• Current Assignee: Massachusetts Institute of Technology
• Original Assignee: Massachusetts Institute of Technology
• Inventors: Cornick, Matthew Tyler, Zhang, Beijia, Stanley, Byron McCall, Coldwell, Charles Michael, Koechling, Jeffrey Charles
• Granted Patent: US 8,949,024 B2
• Time in Patent Office: Days
• US Class Current: 701/514
• CPC Class Codes: G01C 21/30 Map- or contour-matching
• CPC Class Codes: G01S 13/06 Systems determining position data of a target
• CPC Class Codes: G01S 13/605 using a pattern, backscattered from the ground, to determine speed or drift by measuring the time required to cover a fixed distance
• CPC Class Codes: G01S 13/87 Combinations of radar systems, e.g. primary radar and secondary radar
• CPC Class Codes: G01S 13/885 for ground probing prospecting or detecting using electromagnetic waves G01V3/12
• CPC Class Codes: G01S 13/89 for mapping or imaging
• CPC Class Codes: G05D 1/0257 using a radar radar systems designed for anti-collision purposes between land vehicles or between land vehicle and fixed obstacles G01S13/931
• CPC Class Codes: G05D 1/0268 using internal positioning means

Abstract

Described are a method and a system for localization of a vehicle. The method includes the acquisition of SPR images of a subsurface region along a vehicle track. Acquired SPR images are compared to SPR images previously acquired for a subsurface region that at least partially overlaps the subsurface region along the vehicle track. In some embodiments, the comparison includes an image correlation procedure. Location data for the vehicle are determined based in part on location data for the SPR images previously acquired for the second subsurface region. Location data can be used to guide the vehicle along a desired path. The relatively static nature of features in the subsurface region provides the method with advantages over other sensor-based navigation systems that may be adversely affected by weather conditions, dynamic features and time-varying illumination. The method can be used in a variety of applications, including self-driving automobiles and autonomous platforms.

Claims

1. A method for localization of a vehicle, the method comprising:

acquiring surface penetrating radar (SPR) images of a first subsurface region along a vehicle track;

comparing the SPR images and SPR images previously acquired for a second subsurface region that at least partially overlaps the first subsurface region; and

determining location data for the vehicle based on location data for the SPR images previously acquired for the second subsurface region.

2. The method of claim 1 wherein the SPR is a ground penetrating radar (GPR), the subsurface regions are underground regions and the SPR images are GPR images.

3. The method of claim 1 wherein the comparing comprises performing an image correlation of the SPR images and SPR images previously acquired for the second subsurface region.

4. The method of claim 1 further comprising processing the location data to determine at least one of velocity, acceleration, orientation, angular velocity and angular acceleration for the vehicle.

5. The method of claim 1 wherein the location data are global location data.

6. The method of claim 1 wherein the SPR images include image data for the surfaces of the first and second subsurface regions.

7. A method for guidance of a vehicle, comprising:

acquiring surface penetrating radar (SPR) images of a first subsurface region along a vehicle track;

comparing the SPR images and SPR images previously acquired for a second subsurface region that at least partially overlaps the first subsurface region;

determining location data for the vehicle based on location data for the SPR images previously acquired for the second subsurface region; and

guiding the vehicle in response to the determined location data.

8. The method of claim 7 wherein the SPR is a ground penetrating radar (GPR), the subsurface regions are underground regions and the SPR images are GPR images.

9. The method of claim 7 wherein the comparing comprises performing an image correlation of the SPR images and SPR images previously acquired for the second subsurface region.

10. The method of claim 7 further comprising acquiring GPS data along the vehicle track.

11. A vehicle navigation system, comprising:

a mobile surface penetrating radar (SPR) system configured for attachment to a vehicle and having an array of antenna elements each configured to transmit a radar signal into a first subsurface region and to receive a return radar signal from the first subsurface region;

a radar processor in communication with the mobile SPR system and configured to generate SPR images of the first subsurface region;

a registration module in communication with the radar processor and configured to receive SPR images of the first subsurface region, the registration module determining location data for the vehicle based on location data for previously acquired SPR images for a second subsurface region that overlaps at least a portion of the first subsurface region; and

a control module in communication with the registration module and configured to generate one or more control signals to guide the movement of the vehicle in response to the location data.

12. The vehicle navigation system of claim 11 wherein the mobile SPR system is a ground penetrating radar (GPR) system, the subsurface regions are underground regions and the SPR images are GPR images.

13. A method for localization of a vehicle, comprising:

acquiring, from a first surface penetrating radar (SPR) system fixed in position relative to a vehicle, a first plurality of SPR images of a subsurface region along a vehicle track;

acquiring, from a second SPR system fixed in position relative to the vehicle, a second plurality of SPR images of at least a portion of the subsurface region along the vehicle track;

comparing the SPR images from the first SPR system and the SPR images from the second SPR system; and

determining location data for the vehicle.

14. The method of claim 13 wherein the SPR systems are ground penetrating radar (GPR) systems, the subsurface region is an underground region and the SPR images are GPR images.

15. The method of claim 13 further comprising processing the location data to determine at least one of velocity, acceleration, orientation, angular velocity and angular acceleration for the vehicle.

16. A system for determining location data for a vehicle, comprising:

a first mobile surface penetrating radar (SPR) system having an array of antenna elements each configured to transmit a radar signal into a subsurface region and to receive a return radar signal from the subsurface region, the first SPR system configured to be fixed in a first position relative to a vehicle;

a first radar processor in communication with the first mobile SPR system and configured to generate a SPR image of the subsurface region;

a second mobile SPR system having an array of antenna elements each configured to transmit a radar signal into the subsurface region and to receive a return radar signal from the subsurface region, the second SPR system configured to be fixed in a second position relative to the vehicle and separated from the first mobile SPR system;

a second radar processor in communication with the second mobile SPR system and configured to generate a SPR image of the subsurface region;

and a registration module configured to receive SPR images from the first and second radar processors, the registration module determining location data for the second mobile SPR system relative to the first mobile SPR system as the vehicle moves along a vehicle track.

17. The method of claim 16 wherein the mobile SPR systems are ground penetrating radar (GPR) systems, the subsurface region is an underground region and the SPR images are GPR images.

18. The system of claim 16 wherein the registration module is configured to determine at least one of velocity, acceleration, orientation, angular velocity and angular acceleration for the vehicle from the location data.

19. The system of claim 16 wherein the first radar processor and the second radar processor are integrated as a single radar processor.