Dynamic power throttling of spinning LIDAR

US11579304B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11579304-B2
Application numberUS-201916586010-A
CountryUS
Kind codeB2
Filing dateSep 27, 2019
Priority dateSep 27, 2019
Publication dateFeb 14, 2023
Grant dateFeb 14, 2023

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

An autonomous vehicle having a LIDAR system that scans a field of view is described herein. With more specificity, a computing system of the autonomous vehicle defines a region of interest in the field of view for a scan of the field of view by the LIDAR system. The region of interest is a portion of the field of view. Based on the region of interest, the computing system transmits a control signal to the LIDAR system that causes the LIDAR system to emit first light pulses with a first intensity within the region of interest during the scan and second light pulses with a second intensity outside the region of interest during the scan. The first intensity is different from the second intensity to provide different ranges for distance measurements inside and outside the region of interest.

First claim

Opening claim text (preview).

What is claimed is: 1. An autonomous vehicle, comprising: a LIDAR system; and a computing system in communication with the LIDAR system, wherein the computing system comprises: a processor; and memory that stores instructions that, when executed by the processor, cause the processor to perform acts comprising: receiving geolocation data that identifies a location of the autonomous vehicle in an environment; accessing a computer-implemented three-dimensional map of the environment, wherein the computer-implemented three-dimensional map of the environment identifies a location of a stationary object in the environment; determining a distance between the LIDAR system and the stationary object in the environment based on the geolocation data that identifies the location of the autonomous vehicle and the location of the stationary object specified in the computer-implemented three-dimensional map; for a scan of the LIDAR system, defining a region of interest in a field of view of the LIDAR system, wherein the region of interest is a portion of the field of view of the LIDAR system, and wherein the region of interest is defined to include the stationary object at the location specified in the computer-implemented three-dimensional map; and based upon the region of interest, transmitting a control signal to the LIDAR system, wherein the control signal causes the LIDAR system to emit first light pulses with a first intensity in the region of interest during the scan, wherein the first intensity is set to control a range of the LIDAR system based on the distance between the LIDAR system and the stationary object in the environment, and further wherein the control signal causes the LIDAR system to emit second light pulses with a second intensity outside of the region of interest during the scan, the first intensity being different from the second intensity. 2. The autonomous vehicle of claim 1 , wherein the stationary object is identified in the three-dimensional map as being a reflective object, and further wherein the region of interest is defined to surround the reflective object. 3. The autonomous vehicle of claim 2 , wherein the first intensity is lower than the second intensity. 4. The autonomous vehicle of claim 1 , further comprising: for the scan of the LIDAR system, defining a second region of interest in the field of view of the LIDAR system, wherein the second region of interest is a second portion of the field of view of the LIDAR system that is non-overlapping with the portion of the field of view of the LIDAR system, wherein the control signal causes the LIDAR system to emit third pulses with a third intensity in the second region of interest during the scan, wherein the third intensity is different from the first intensity and the second intensity. 5. The autonomous vehicle of claim 4 , the acts further comprising: prior to defining the second region of interest, identifying a location of an object in the field of view of the LIDAR system, wherein the location of the object is identified in the field of view of the LIDAR system based upon a point cloud output by the LIDAR system prior to performing the scan, wherein the second region of interest is defined based upon the location of the object in the field of view of the LIDAR system. 6. The autonomous vehicle of claim 5 , wherein the second region of interest is defined to surround the object in the field of view of the LIDAR system. 7. The autonomous vehicle of claim 6 , wherein the third intensity is greater than the second intensity. 8. The autonomous vehicle of claim 5 , the acts further comprising: for a subsequent scan of the LIDAR system and based upon the second region of interest, transmitting a second control signal to the LIDAR system, wherein the second control signal causes the LIDAR system to emit fourth light pulses with a fourth intensity in the second region of interest during the subsequent scan, wherein the fourth intensity is different from the third intensity; and disambiguating whether the object in the second region of interest is at least one of steam or fog based on outputs of the LIDAR system corresponding to the scan and the subsequent scan. 9. The autonomous vehicle of claim 1 , wherein the region of interest has a rectangular profile. 10. The autonomous vehicle of claim 1 , wherein the region of interest has an irregular profile. 11. The autonomous vehicle of claim 1 , wherein the region of interest is updated over time as the location of the stationary object changes relative to the location of the autonomous vehicle. 12. A method performed by a computing system of an autonomous vehicle, the method comprising: receiving geolocation data that identifies a location of the autonomous vehicle in an environment; accessing a computer-implemented three-dimensional map of the environment, wherein the computer-implemented three-dimensional map of the environment identifies a location of a stationary object in the environment; determining a distance between a LIDAR system of the autonomous vehicle and the stationary object in the environment based on the geolocation data that identifies the location of the autonomous vehicle and the location of the stationary object specified in the computer-implemented three-dimensional map; for a scan of the LIDAR system, defining a region of interest in a field of view of the LIDAR system, wherein the region of interest is a portion of the field of view of the LIDAR system, and wherein the region of interest is defined to include the stationary object at the location specified in the computer-implemented three-dimensional map; and based upon the region of interest, transmitting a control signal to the LIDAR system, wherein the control signal causes the LIDAR system to emit first light pulses with a first intensity in the region of interest during the scan, wherein the first intensity is set to control a range of the LIDAR system based on the distance between the LIDAR system and the stationary object in the environment, and further wherein the control signal causes the LIDAR system to emit second light pulses with a second intensity outside of the region of interest during the scan, the first intensity being different from the second intensity. 13. The method of claim 12 , wherein the LIDAR system is a spinning LIDAR system that has a 360 degree horizontal field of view. 14. The method of claim 12 , wherein the LIDAR system is a scanning LIDAR system that has less than a 360 degree horizontal field of view. 15. The method of claim 12 , further comprising: identifying a type of the stationary object in the field of view of the LIDAR system; and defining the region of interest based upon the type of the stationary object in the field of view of the LIDAR system. 16. The method of claim 15 , wherein the type of the stationary object is a reflective traffic sign. 17. An autonomous vehicle comprising: a computer-readable storage medium that comprises instructions that, when executed by a processor, cause the processor to perform acts comprising: receiving geolocation data that identifies a location of the autonomous vehicle in an environment; accessing a computer-implemented three-dimensional map of the environment, wherein the computer-implemented three-dimensional map of the environment identifies a location of a stationary object in the environment; determining a distance between a spinning LIDAR system of the autonomous vehicle and the stationary object in the environment based on the geolocation data that identifies the location of the auton

Assignees

Inventors

Classifications

  • Controlling received signal intensity or exposure of sensor · CPC title

  • combining image information with other obstacle sensor information, e.g. using RADAR/LIDAR/SONAR sensors for estimating risk of collision · CPC title

  • Transmitters · CPC title

  • G01S17/931Primary

    of land vehicles · CPC title

  • using analysis of echo signal for target characterisation; Target signature; Target cross-section · CPC title

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What does patent US11579304B2 cover?
An autonomous vehicle having a LIDAR system that scans a field of view is described herein. With more specificity, a computing system of the autonomous vehicle defines a region of interest in the field of view for a scan of the field of view by the LIDAR system. The region of interest is a portion of the field of view. Based on the region of interest, the computing system transmits a control si…
Who is the assignee on this patent?
Gm Cruise Holdings Llc
What technology area does this patent fall under?
Primary CPC classification G01S17/931. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 14 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).