IP Library › Granted Patent US 10,793,091
Granted Patent B2
US 10,793,091 · App. 15/886,006 · Granted Oct 6, 2020

Dynamic bandwidth adjustment among vehicle sensors

Inventors: Yasen Hu (Warren, MI); Shuqing Zeng (Sterling Heights, MI); Wei Tong (Troy, MI); Mohannad Murad (Troy, MI); David R. Petrucci (Warren, MI); Gregg R. Kittinger (Oakland Township, MI)
Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
B60R16/0231H04Q9/02G05D1/024G05D1/0238G05D1/0248G05D1/0255G05D1/0257G05D2201/0201G05D2201/0202G05D2201/0213G05D2201/0216H04Q2209/86H04Q2213/054
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Quick Facts
Patent No.
US 10,793,091
App. No.
15/886,006
Granted
Oct 6, 2020
Kind
B2
Abstract

A system and method to perform dynamic bandwidth adjustment among two or more vehicle sensors includes receiving input. The input includes data from each of the two or more vehicle sensors. The two or more vehicle sensors include a camera, an audio detector, a radar system, or a lidar system. The method also includes determining a bandwidth at which each of the two or more vehicle sensors should provide the data, and providing a control signal to each of the two or more vehicle sensors to adjust the bandwidth based on the determining.

Claims (23)

1. A method of performing dynamic bandwidth adjustment among two or more vehicle sensors, the method comprising:

receiving input at a processor, the input including data from each of the two or more vehicle sensors, wherein the two or more vehicle sensors include a camera, an audio detector, a radar system, or a lidar system;

determining, using the processor, a bandwidth at which each of the two or more vehicle sensors should provide the data; and

providing, by the processor, a control signal to each of the two or more vehicle sensors to adjust the bandwidth based on the determining, wherein the determining the bandwidth includes decreasing the bandwidth from a default bandwidth for one or more of the two or more vehicle sensors that fail to detect an object that is detected by another one or more of the two or more vehicle sensors.

2. The method according to claim 1 , wherein the receiving the input includes receiving information about environmental conditions.

3. The method according to claim 2 , wherein the receiving the information about the environmental conditions includes receiving weather information.

4. The method according to claim 1 , wherein the receiving the input includes receiving information about the vehicle.

5. The method according to claim 4 , wherein the receiving the information about the vehicle includes receiving location information, direction of travel, or vehicle dynamics information.

6. The method according to claim 1 , wherein the determining the bandwidth includes increasing the bandwidth from a default bandwidth for one or more of the two or more vehicle sensors that detect an object.

7. The method according to claim 1 , wherein the determining the bandwidth is based on a direction of travel of the vehicle and a location of the two or more sensors on the vehicle.

8. The method according to claim 1 , wherein the determining the bandwidth is based on an event, wherein the event is a detection by at least one of the two or more vehicle sensors or a change in movement by the vehicle.

9. The method according to claim 1 , wherein the determining the bandwidth includes implementing a machine learning algorithm.

10. A system to perform dynamic bandwidth adjustment, the system comprising:

two or more vehicle sensors, wherein the two or more vehicle sensors include a camera, an audio detector, a radar system, or a lidar system;

a controller configured to obtain input, the input including data from each of the two or more vehicle sensors, determine a bandwidth at which each of the two or more vehicle sensors should provide the data, and provide a control signal to each of the two or more vehicle sensors to respectively adjust the bandwidth for each of the two or more vehicle sensors, wherein the controller decreases the bandwidth from a default bandwidth for one or more of the two or more vehicle sensors that fail to detect an object that is detected by another one or more of the two or more vehicle sensors.

11. The system according to claim 10 , wherein the input includes information about environmental conditions.

12. The system according to claim 11 , wherein the information about the environmental conditions includes weather information.

13. The system according to claim 10 , wherein the input includes information about the vehicle.

14. The system according to claim 13 , wherein the information about the vehicle includes location information, direction of travel, or vehicle dynamics information.

15. The system according to claim 10 , wherein the controller increases the bandwidth from a default bandwidth for one or more of the two or more vehicle sensors that detect an object.

16. The system according to claim 10 , wherein the controller determines the bandwidth based on a direction of travel of the vehicle and a location of the two or more sensors on the vehicle.

17. The system according to claim 10 , wherein the controller determines the bandwidth based on an event, wherein the event is a detection by at least one of the two or more vehicle sensors or a change in movement by the vehicle.

18. The system according to claim 10 , wherein the controller determines the bandwidth by implementing a machine learning algorithm.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 1, 2018
From: HU, YASEN; ZENG, SHUQING; TONG, WEI; MURAD, MOHANNAD; PETRUCCI, DAVID R.; KITTINGER, GREGG R.
To: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Reel/Frame 044796/0435 →
Continuity (1)
Related Publication 20190232898A1 · Aug 1, 2019