Misalignment estimation for a vehicle radar system

Patent metadata

Field	Value
Publication number	US-10656246-B2
Application number	US-201615735079-A
Country	US
Kind code	B2
Filing date	Jun 10, 2016
Priority date	Jun 11, 2015
Publication date	May 19, 2020
Grant date	May 19, 2020

Abstract

A vehicle radar system ( 2 ) having a radar detector ( 3 ) arranged to detect at least one stationary object ( 10 ) a plurality of times when a vehicle ( 1 ) moves in relation to it. A plurality of detected positions ( 11, 12, 13 ) are obtained in a local coordinate system ( 15 ), fixed with respect to the radar detector ( 3 ). The object ( 10 ) is stationary with respect to a global coordinate system ( 16 ), fixed with respect to the environment. A position detector ( 14 ) is arranged to detect its present movement conditions with reference to the global coordinate system ( 16 ). Correction factors are applied on each detected position of the object in the local coordinate system ( 15 ). Obtained corrected detected positions are then transformed into the global coordinate system ( 16 ) and an error/cost value is calculated for each correction factor. The correction factor that results in the smallest error/cost value is chosen.

First claim

The invention claimed is:

1. A vehicle radar system arranged to detect at least a stationary object outside a vehicle, the radar system comprising, a radar detector and a processing unit, the radar detector being arranged to detect the stationary object a plurality of times when moving in relation to the stationary object such that a plurality of detected positions is obtained in a local coordinate system that is fixed with respect to the radar detector, where the stationary object is stationary with respect to a global coordinate system that is fixed with respect to the environment outside the vehicle, the radar system further comprises a position detector that is arranged to detect a present movement conditions with reference to the global coordinate system, where the processing unit is arranged to,
apply a plurality of correction factors on the detected positions of the stationary object in the local coordinate system such that a plurality of corrected detected positions is obtained;
transform the corrected detected positions into the global coordinate system;
calculate an error/cost value for each of the correction factors; and
choose the correction factor that results in a smallest error/cost value.

2. A vehicle radar system according to claim 1 , further comprising in that the error/cost value is obtained by adding the distances between a transformed and a corrected detected position of successive radar cycles.

3. A vehicle radar system according to claim 1 , further comprising in that the error/cost value is obtained by a variance or a mean value calculation.

4. A vehicle radar system according to claim 1 , further comprising in that the processing unit is arranged to define an error/cost function and to find a minimum of the error/cost function.

5. A vehicle radar system according to claim 4 , further comprising in that the processing unit is arranged to find a minimum of the error/cost function by use of at least one of an interpolation, a slope analysis, a non-linear optimization techniques or a curve-fitting.

6. A vehicle radar system according to claim 1 , further comprising in that the position detector is constituted by one or more accelerometers, or one or more a vehicle dynamics acquisition arrangements, or one or more cameras, or one or more gyrometers, or a GPS arrangement.

7. A vehicle radar system according to claim 1 , further comprising in that the radar system is able to classify a detected object as the stationary object or a moving object in the global coordinate system.

8. A method for estimating a vehicle radar system misalignment, the vehicle radar system being used for detecting objects outside a vehicle, the method comprising the steps of:
detecting at least one stationary object a plurality of times when moving in relation to the stationary object such that a plurality of detected positions is obtained in a local coordinate system that is fixed with respect to the radar detector, where the stationary object is stationary with respect to a global coordinate system that is fixed with respect to the environment outside the vehicle;
applying a plurality of correction factors on the detected positions of the stationary object in the local coordinate system such that a plurality of corrected detected positions is obtained;
transforming the corrected detected positions into the global coordinate system;
calculating an error/cost value for the correction factor; and
choosing the correction factor that results in a smallest error/cost value.

9. A method according to claim 8 , further comprising in that the error/cost value is obtained by adding the distances between a transformed position and a corrected detected positions of successive radar cycles.

10. A method according to claim 8 , further comprising in that the error/cost value is obtained by a variance or a mean value calculations.

11. A method according to claim 8 , in that the method further comprises defining an error/cost function and finding a minimum of the error/cost function.

12. A method according to claim 11 , in that the method further comprises finding a minimum of the error/cost function by using at least one of an interpolation, a slope analysis, a non-linear optimization techniques or a curve-fitting.

13. A method according to claim 8 , further comprising in that the corrected detected positions are transformed into the global coordinate system by using one or more accelerometers, or one or more vehicle dynamics acquisition arrangements, or one or more cameras, or one or more gyrometers or a GPS, arrangement.

14. A method according to claim 8 , further comprising in that the method further comprises classifying a detected object as the stationary object or a moving object in the global coordinate system.

Assignees

• Marsch Sebastian
• Veoneer Sweden Ab

Inventors

• Marsch Sebastian

Classifications

• G01S2013/93271

  in the front of the vehicles · CPC title

• G01S7/40 Primary

  Means for monitoring or calibrating · CPC title

• G01S13/93

  for anti-collision purposes · CPC title

• G01S13/723

  by using numerical data · CPC title

• G01S2013/9322

  using additional data, e.g. driver condition, road state or weather data · CPC title