IP Library › Granted Patent US 11,327,155
Granted Patent B2
US 11,327,155 · App. 16/704,562 · Granted May 10, 2022

Radar sensor misalignment detection for a vehicle

Inventors: Alireza Nemati (Novi, MI); Aghapi Mordovanakis (Ann Arbor, MI)
Assignee: Robert Bosch GmbH
G01S7/4026G01S13/86G01S13/931G01S7/403
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Quick Facts
Patent No.
US 11,327,155
App. No.
16/704,562
Granted
May 10, 2022
Kind
B2
Abstract

A system and method for detecting a level of misalignment of a vehicle sensor, such as a radar sensor, compared to a reference sensor also associated with the vehicle. The reference sensor may comprise a different type of sensor, such as an optical sensor, motion sensor, or position sensor. One or more reference sensors may be utilized in detecting a level of misalignment.

Claims (36)

1. A vehicle sensor system comprising:

a vehicle processor disposed at least in part within a predetermined distance of the body of the vehicle;

a radar sensor in data communication with the vehicle processor and disposed within a predetermined distance of the vehicle processor;

a reference sensor in data communication with the vehicle processor and disposed within a predetermined distance of the vehicle processor; and

a memory in data communication with the vehicle processor and storing a high-density radar-sensor map and at least one high-density reference-sensor map,

wherein the vehicle processor is operable to receive radar-sensor data from the radar sensor and generate radar-position data indicating a location of the vehicle, the vehicle processor is further operable to receive reference-sensor data from the reference sensor and generate reference-position data indicating a lane localization of the vehicle, and the vehicle processor is further operable to generate alignment data indicating the alignment status of the radar sensor and whether the alignment status is within a predetermined threshold based upon a comparison of the radar-position data and the reference-position data.

2. The system of claim 1 , wherein the reference sensor comprises an optical sensor.

3. The system of claim 1 , wherein the reference sensor comprises a motion sensor.

4. The system of claim 1 , wherein:

the reference sensor is a first reference sensor,

the system further comprises a second reference sensor disposed within a predetermined distance of the vehicle processor, the second reference sensor is in data communication with the vehicle processor,

the second reference sensor is operable to generate second reference and

the vehicle processor is further operable to generate second reference-position data and generate alignment data based upon a comparison of the radar-position data and the second reference-position data in view of a predetermined threshold.

5. The system of claim 4 , wherein the first reference sensor comprises a radar sensor and the second reference sensor comprises a motion sensor.

6. The system of claim 1 , wherein the vehicle processor is further configured to generate a radar-position confidence indicating a confidence level of the location indicated by the radar-position data and a reference-position confidence indicating a confidence level of the location indicated by the reference-position data.

7. A method of detecting misalignment of a radar sensor associated with a vehicle, the method comprising:

generating radar-position data using the radar sensor, the radar-position data indicating a location of the vehicle with respect to the environment;

generating reference-position data using at least one reference sensor, the reference-position data indicating a location of the vehicle with respect to the environment;

generating alignment status data indicating whether the radar-position data matches the reference-position data within a threshold value; and

generating an alignment indication when the alignment status data does not indicate that the radar-position data matches the reference-position data within the threshold value, wherein

the radar-position data is generated using high-density radar-sensor map data indicating environmental features detectable by the radar sensor and the reference-position data is generated using high-density reference-sensor map data indicating environmental features detectable by the reference sensor.

8. The method of claim 7 , wherein the at least one reference sensor comprises an optical sensor.

9. The method of claim 8 , wherein the at least one reference sensor further comprises a motion sensor different from the optical sensor.

10. The method of claim 7 , further comprising updating the alignment status data in response to a change in the value of the radar-position data or the reference-position data, and generating consistency data indicating a consistent historical trend of the alignment status data.

11. The method of claim 10 , further comprising adjusting the alignment indication based upon the value of the consistency data.

12. A non-transitory computer-readable medium comprising instructions stored thereon that when executed by a processor cause the processor to perform the steps of:

receiving radar-sensor data from a radar sensor associated with a vehicle;

generating radar-position data based upon the radar-sensor data, the radar-position data indicating a location of the vehicle with respect to an environment in which the vehicle is disposed;

receiving reference-sensor data from at least one reference sensor associated with the vehicle;

generating reference-position data based upon the reference-sensor data, the reference-position data indicating a location of the vehicle with respect to the environment;

generating alignment status data indicating whether the radar-position data matches the reference-position data within a threshold value; and

generating an alignment indication when the alignment status data does not indicate that the radar-position data matches the reference-position data within the threshold value, wherein

the radar-position data is generated using high-density radar-sensor map data indicating environmental features detectable by the radar sensor and the reference-position data is generated using high-density reference-sensor map data indicating environmental features detectable by the reference sensor.

13. The non-transitory computer-readable medium of claim 12 , wherein the at least one reference sensor comprises a first reference sensor and a second reference sensor and wherein the reference-sensor data comprises first reference-sensor data generated by the first reference sensor and second reference-sensor data generated by the second reference sensor.

14. The non-transitory computer-readable medium of claim 13 , wherein the first reference sensor comprises an optical sensor and the first reference-sensor data comprises optical-sensor data.

15. The non-transitory computer-readable medium of claim 14 , wherein the second sensor comprises a motion sensor and the second reference-sensor data comprises motion-sensor data.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 12, 2020
From: NEMATI, ALIREZA; MORDOVANAKIS, AGHAPI
To: ROBERT BOSCH GMBH
Reel/Frame 052634/0674 →
Continuity (2)
Provisional Application 62783674 · Dec 21, 2018
Related Publication 20200200870A1 · Jun 25, 2020
Cited By (2)
US 12,228,681 US 12,608,001