Dynamic power throttling of spinning LIDAR

US11579306B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11579306-B2
Application numberUS-201916731871-A
CountryUS
Kind codeB2
Filing dateDec 31, 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 defines a region of interest to include a stationary object at a location specified in a computer-implemented three-dimensional map of an environment, wherein the computing system determines a distance between the LIDAR system and the stationary object in the environment based on geolocation data that identifies a location of the autonomous vehicle and the location of the stationary object specified in the computer-implemented three-dimensional map, and wherein the LIDAR system is configured to perform acts comprising: receiving a control signal from the computing system; based upon the control signal and during a scan of the environment by the LIDAR system: emitting first light pulses with a first intensity in the region of interest defined by the computing system, the region of interest being a portion of a field of view of the LIDAR system, the first intensity being set to control a range of the LIDAR system based on the distance between the LIDAR system and the stationary object in the environment; emitting second light pulses with a second intensity outside of the region of interest, wherein the first intensity is different from the second intensity; and generating a return based upon the emitted first light pulses and the emitted second light pulses, wherein the return indicates distances between the LIDAR system and objects in the environment. 2. The autonomous vehicle of claim 1 , wherein the geolocation data is received from a geolocation sensor. 3. 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. 4. The autonomous vehicle of claim 3 , wherein the first intensity is lower than the second intensity. 5. The autonomous vehicle of claim 1 , the acts performed by the LIDAR system further comprising: based upon the control signal and during the scan of the environment by the LIDAR system, emitting third light pulses with a third intensity in a second region of interest defined by the computing system, wherein the second region of interest is non-overlapping with the region of interest, and further wherein the third intensity is different from the first intensity and the second intensity. 6. The autonomous vehicle of claim 5 , wherein the computing system, prior to defining the second region of interest, identifies a location of an object in a field of view of the LIDAR system, wherein the computing system identifies the location of the object based upon a point cloud output by the LIDAR system prior to performing the scan, wherein the computing system defines the second region of interest based upon the location of the object in the field of view of the LIDAR system. 7. The autonomous vehicle of claim 6 , wherein the computing system defines the second region of interest to surround the object in the field of view of the LIDAR system. 8. The autonomous vehicle of claim 7 , wherein the third intensity is greater than the second intensity. 9. The autonomous vehicle of claim 6 , the acts performed by the LIDAR system further comprising: during a subsequent scan of the LIDAR system and based upon the second region of interest, emitting fourth light pulses with a fourth intensity in the second region of interest defined by the computing system, 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 the return corresponding to the scan and a subsequent return corresponding to the subsequent scan. 10. The autonomous vehicle of claim 1 , wherein the region of interest has a rectangular profile. 11. The autonomous vehicle of claim 1 , wherein the region of interest has an irregular profile. 12. 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. 13. A method performed by an autonomous vehicle, the method comprising: by a computing system of the autonomous vehicle: defining a region of interest to include a stationary object at a location specified in a computer-implemented three-dimensional map of an environment; and determining a distance between a LIDAR system of the autonomous vehicle and the stationary object in the environment based on geolocation data that identifies a location of the autonomous vehicle and the location of the stationary object specified in the computer-implemented three-dimensional map; by the LIDAR system of the autonomous vehicle, during a scan of the LIDAR system, and based upon a control signal received from the computing system of the autonomous vehicle: emitting first light pulses with first intensity in the region of interest defined by the computing system of the autonomous vehicle, wherein the region of interest is a portion of a field of view of the LIDAR system, the first intensity being 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 emitting second light pulses with second intensity outside of the region of interest, wherein the first intensity is different from the second intensity; by the LIDAR system, generating a return based upon the emitted first light pulses and the emitted second light pulses, wherein the return includes values that are indicative of distances between the LIDAR system and objects in the field of view of the LIDAR system; and navigating a roadway based upon the return generated by the LIDAR system. 14. The method of claim 13 , wherein the LIDAR system is a spinning LIDAR system that has a 360 degree horizontal field of view. 15. The method of claim 13 , wherein the LIDAR system is a scanning LIDAR system that has less than a 360 degree horizontal field of view. 16. The method of claim 13 , further comprising: by the computing system: 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. 17. The method of claim 16 , wherein the type of the stationary object is a reflective traffic sign. 18. An autonomous vehicle comprising: a LIDAR system; and a computing system that is configured to perform acts comprising: defining a region of interest to include a stationary object at a location specified in a computer-implemented three-dimensional map of an environment; and determining a distance between a LIDAR system of the autonomous vehicle and the stationary object in the environment based on geolocation data that identifies a location of the autonomous vehicle and the location of the stationary object specified in the computer-implemented three-dimensional map; wherein the LIDAR system is configured to perform acts comprising: during a scan of the LIDAR system, and based upon a control signal received from the computing system of the autonomous vehicle: emitting first light pulses with first intensity in a region of interest defined by the computing system of the autonomous vehicle, wherein the region of interest is a portion of a field of view of the LIDAR system, wherein the first intensity is set to control a range of the LIDAR system ba

Assignees

Inventors

Classifications

  • G01S17/931Primary

    of land vehicles · CPC title

  • using 360 degree surveillance camera system · CPC title

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

  • Simultaneous measurement of distance and other co-ordinates (indirect measurement G01S17/46) · CPC title

  • for mapping or imaging · CPC title

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What does patent US11579306B2 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).