Blind-zone target discrimination method and system for road vehicle radar

• US 5,530,447 A
• Filed: 01/13/1995
• Issued: 06/25/1996
• Est. Priority Date: 01/13/1995
• Status: Expired due to Fees

• Current Assignee: Delco Electronics Corporation (Motors Liquidation Co. GUC Trust)
• Original Assignee: Delco Electronics Corporation (Motors Liquidation Co. GUC Trust)
• Inventors: Reed, John C., May, Phillip A., Zhang, Zhaohong, Henderson, Mark F.
• Primary Examiner(s): JOHNSON, STEPHEN
• Application Number:
  US08/372,259
• Time in Patent Office: 529 Days
• Field of Search: 342/70, 342/71, 342/72, 340/904, 340/905, 340/936, 340/943, 340/933, 340/441, 340/466
• US Class Current: 342/70
• CPC Class Codes: G01S 13/931 of land vehicles
• CPC Class Codes: G01S 2013/932 using own vehicle data, e.g. ground speed, steering wheel direction
• CPC Class Codes: G01S 2013/93274 on the side of the vehicles
• CPC Class Codes: G01S 7/2883 using FFT processing
• CPC Class Codes: G01S 7/2886 using I/Q processing

Abstract

A method and system for discriminating a target which presents a hazard to a motor vehicle moving in a first lane of traffic from a target moving in a second adjacent lane of traffic which does not present a hazard to the vehicle. The method includes the steps of utilizing an antenna mounted flush to a side of the vehicle to produce a radar beam having a beamwidth greater than 5-10 degrees to illuminate the target. At least a portion of the radar beam is produced along a first axis which is perpendicular to the direction of motion of the vehicle. The reflected signal is received from the illuminated target and a velocity of the illuminated target is estimated with a Kalman filter relative to the velocity of the vehicle in the direction of a second axis which is parallel to the direction of motion of the vehicle based on the reflected signal. The method also includes the steps of measuring the velocity of the vehicle using at least one velocity sensor and determining that the illuminated target is hazardous if the sum of the measured vehicle velocity and the estimated parallel target velocity is greater than a predetermined threshold. The illuminated target is determined not to be hazardous if the sum of the measured vehicle velocity and the estimated parallel target velocity is less than a predetermined threshold.

Claims

1. In a road vehicle radar system capable of detecting the presence of one or more targets in proximity to a vehicle moving at a velocity in a first lane of traffic, a method for discriminating a target which presents a hazard to the vehicle from a target which does not present a hazard to the vehicle, the method comprising:

producing a radar beam having a sufficient beamwidth to illuminate a target in a second lane which is adjacent to the first lane, at least a portion of the radar beam being produced along a first axis which is perpendicular to the direction of motion of the vehicle;

receiving a reflected signal from the illuminated target;

estimating a velocity of the illuminated target, relative to the velocity of the vehicle, in the direction of a second axis which is parallel to the direction of motion of the vehicle based on the reflected signal;

measuring the velocity of the vehicle using at least one velocity sensor;

determining that the illuminated target is hazardous if the sum of the measured vehicle velocity and the estimated parallel target velocity is greater than a first predetermined threshold; and

determining that the illuminated target is not hazardous if the sum of the measured vehicle velocity and the estimated parallel target velocity is less than a second predetermined threshold.

2. The method of claim 1 wherein the beamwidth of the radar beam is greater than 5-10 degrees.

3. The method of claim 1 wherein the vehicle has a front, a back and two sides and wherein the step of producing a radar beam uses a radar antenna which is mounted flush to at least one of the two sides of the vehicle.

4. The method of claim 1 wherein the step of estimating includes using a Kalman filter.

5. The method of claim 4 wherein the Kalman filter is an extended nonlinear Kalman filter.

6. The method of claim 5 wherein the Kalman filter includes the step of calculating an initial estimate for one or more state variables which describe the motion of the target at a time t0, based on a measured value from the received signal at time t0.

7. The method of claim 6 wherein the Kalman filter further includes predicting a value for the one or more states at a time tn+1, based on an estimate for the one or more state variables at a previous time tn, wherein the estimate for the one or more state variables at time tn is calculated from a measured value from the received signal at time tn and from a prediction of a value of the one or more states at time tn.

8. The method of claim 1 further comprising the step of generating an alarm signal if the target is determined to be hazardous.

9. The method of claim 8 further comprising the step of providing an indication to the driver if the alarm signal is generated.

10. A road vehicle radar system for detecting the presence of one or more targets in proximity to a vehicle moving at a velocity in a first lane of traffic, and for discriminating a target which presents a hazard to the vehicle from a target which does not present a hazard to the vehicle, the system comprising:

a radar signal generator;

an antenna, coupled to the radar signal generator, for producing a radar beam having a sufficient beamwidth to illuminate a target in a second lane which is adjacent to the first lane, at least a portion of the radar beam being produced along a first axis which is perpendicular to the direction of motion of the vehicle;

a receiver, coupled to the antenna, for receiving a reflected signal from the illuminated target;

estimating means for estimating the velocity of the illuminated target in the direction of a second axis which is parallel to the direction of motion of the vehicle based on the reflected signal;

a sensor for measuring the velocity of the vehicle; and

a comparator, coupled to the estimating means and the sensor, for determining that the illuminated target is hazardous if the sum of the measured vehicle velocity and the estimated parallel target velocity is greater than a first predetermined threshold and for determining that the illuminated target is not hazardous if the sum of the measured vehicle velocity and the estimated parallel target velocity is less than a second predetermined threshold.

11. The system of claim 10 wherein the beamwidth of the radar beam is greater than 5-10 degrees.

12. The system of claim 10 wherein the vehicle has a front, a back and two sides and wherein the antenna is mounted flush to at least one of the two sides of the vehicle.

13. The system of claim 10 wherein the estimating means includes a Kalman filter.

14. The system of claim 13 wherein the Kalman filter is an extended nonlinear Kalman filter.

15. The system of claim 14 wherein the Kalman filter includes means for calculating an initial estimate for one or more state variables which describe the motion of the target at a time t0, based on a measured value from the received signal at time t0.

16. The system of claim 15 wherein the Kalman filter further includes means for predicting a value for the one or more states at a time tn+1, based on an estimate for the one or more state variables at a previous time tn, wherein the estimate for the one or more state variables at time tn is calculated from a measured value from the received signal at time tn and from a prediction of a value of the one or more states at time tn.

17. The system of claim 10 further comprising means for generating an alarm signal if the target is determined to be hazardous.

18. The system of claim 17 further comprising means for providing an indication to the driver if the alarm signal is generated.