MOTION-BASED MULTI-SENSOR CALIBRATION

• US 20160137209A1
• Filed: 11/18/2014
• Published: 05/19/2016
• Est. Priority Date: 11/18/2014
• Status: Abandoned Application

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: STAINVAS OLSHANSKY, INNA, BUDA, YOSI
• Application Number:
  US14/546,123
• Publication Number:
  US 20160137209A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 25/00 Manufacturing, calibrating, cleaning, or repairing instruments or devices referred to in the other groups of this subclass testing, calibrating or compensating compasses G01C17/38
• CPC Class Codes: G01D 18/008 with calibration coefficients stored in memory

Abstract

A method is provided for motion-based calibration of multiple sensors. A first estimated motion is determined (e.g., for a vehicle or other object) via one of the sensors while determining a second estimated motion via a second of the sensors. A calibration transform is determined and relates the orientation and position of the first sensor to the orientation and position of the second sensor based on the estimated motions received from each sensor.

Claims

1. A sensor processing module comprising:

a memory for storing computer-readable software instructions therein;

a processor configured to receive a plurality of sensor signals, each associated with an attribute of an environment, and to execute the computer-readable software instructions to;

determine a first estimated motion via a first sensor signal of the plurality of sensor signals while determining a second estimated motion via a second sensor signal of the plurality of sensor signals; and

determine, based on the first estimated motion and the second estimated motion, a calibration transform relating a first orientation and a first position of a first sensor associated with the first sensor signal to a second orientation and a second position of a second sensor associated with the second sensor signal.

2. The sensor processing module of claim 1, wherein the first sensor signal is an odometric sensor signal, and the second sensor signal is a visual sensor signal.

3. The sensor processing module of claim 1, wherein the processor is further configured to estimate a difference between a first clock associated with the first sensor signal and a second clock associated with the second sensor signal.

4. The sensor processing module of claim 1, wherein the calibration transform is stored in the memory as as a rotation matrix and a shift vector.

5. The sensor processing module of claim 4, wherein the processor, executing the software, is configured to determine the calibration transform by iteratively solving a system of equations including the rotation matrix and the shift vector.

6. The sensor processing module of claim 5, wherein the processor, executing the software, is further configured to facilitate obstacle avoidance for a vehicle based on the calibration transform applied to first sensor data from the first sensor and second sensor data from the second sensor.

7. A method of calibrating a plurality of sensors provided on a vehicle, the method comprising:

determining a first estimated motion of the vehicle via a first sensor of the plurality of sensors while determining a second estimated motion of the vehicle via a second sensor of the plurality of sensors, the first sensor having a first orientation and a first position with respect to the vehicle, and the second sensor having a second orientation and a second position with respect to the vehicle; and

determining, via a processor, a calibration transform relating the first orientation and the first position of the first sensor to the second orientation and the second position of the second sensor based on the first estimated motion and the second estimated motion.

8. The method of claim 7, wherein the first sensor is an odometric sensor, and the second sensor is a visual sensor.

9. The method of claim 8, wherein the visual sensor determines the second estimated motion based on observation of a feature of the environment of the vehicle during movement of the vehicle.

10. The method of claim 7, wherein the first sensor includes a first clock, the second sensor includes a second clock, and the method further includes estimating a difference between the first clock and the second clock based on comparing times at a point in a trajectory of the vehicle.

11. The method of claim 7, further including storing, in a memory, the calibration transform as a rotation matrix and a shift vector.

12. The method of claim 11, wherein determining the calibration transform includes iteratively solving a system of equations including the rotation matrix and the shift vector.

13. The method of claim 7, further including providing obstacle avoidance for the vehicle based on the calibration transform applied to first sensor data from the first sensor and second sensor data from the second sensor.

14. A vehicle comprising:

a plurality of sensors, each configured to sense an attribute of an environment of the vehicle;

a sensor processing module communicatively coupled to the plurality of sensors, the sensor processing module configured to;

determine a first estimated motion of the vehicle via a first sensor of the plurality of sensors while determining a second estimated motion of the vehicle via a second sensor of the plurality of sensors, the first sensor having a first orientation and a first position with respect to the vehicle, and the second sensor having a second orientation and a second position with respect to the vehicle; and

determine, via a processor, a calibration transform relating the first orientation and the first position of the first sensor to the second orientation and the second position of the second sensor based on the first estimated motion and the second estimated motion.

15. The vehicle of claim 14, wherein the first sensor is an odometric sensor, and the second sensor is a visual sensor.

16. The vehicle of claim 15, wherein the visual sensor determines the second estimated motion based on observation of a feature of the environment of the vehicle during movement of the vehicle.

17. The vehicle of claim 14, wherein the first sensor includes a first clock, the second sensor includes a second clock, and the sensor processing module is further configured to estimate a difference between the first clock and the second clock based on comparing times at a point in a trajectory of the vehicle.

18. The vehicle of claim 14, wherein the sensor processing module stores, in a memory, the calibration transform as a rotation matrix and a shift vector.

19. The vehicle of claim 18, wherein the sensor processing module determines the calibration transform by iteratively solving a system of equations including the rotation matrix and the shift vector.

20. The vehicle of claim 14, wherein the sensor processing module further facilitates obstacle avoidance for the vehicle based on the calibration transform applied to first sensor data from the first sensor and second sensor data from the second sensor.