LIDAR system that generates a point cloud having multiple resolutions

US11467287B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11467287-B2
Application numberUS-201916586080-A
CountryUS
Kind codeB2
Filing dateSep 27, 2019
Priority dateSep 27, 2019
Publication dateOct 11, 2022
Grant dateOct 11, 2022

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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 mounted thereon or incorporated therein is described. The LIDAR system has N channels, with each channel being a light emitter/light detector pair. A computing system identifies M channels that are to be active during a scan of the LIDAR system, wherein M is less than N. The computing system transmits a command signal to the LIDAR system, and the LIDAR system performs a scan with the M channels being active (and N-M channels being inactive). The LIDAR system constructs a point cloud based upon the scan, and the computing system controls the autonomous vehicle based upon the point cloud.

First claim

Opening claim text (preview).

What is claimed is: 1. An autonomous vehicle, comprising: a LIDAR system that comprises N channels; 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: for a scan of the LIDAR system, identifying M channels that are to be active during the scan and N-M channels that are to be inactive during the scan, where N is greater than M; and transmitting a command signal to the LIDAR system that causes the M channels to be active and the N-M channels to be inactive during the scan, wherein the LIDAR system generates a point cloud based upon the M channels being active and the N-M channels being inactive. 2. The autonomous vehicle of claim 1 , wherein N is 32 and M is 16. 3. The autonomous vehicle of claim 1 , wherein the point cloud comprises a first horizontal band and a second horizontal band that is non-overlapping with the first horizontal band, wherein the first horizontal band has a first resolution and the second horizontal band has a second resolution that is different from the first resolution. 4. The autonomous vehicle of claim 3 , the acts further comprising controlling a mechanical system of the autonomous vehicle based upon the point cloud. 5. The autonomous vehicle of claim 1 , wherein at least two of the M channels are vertically adjacent to one another on a spindle of the LIDAR system. 6. The autonomous vehicle of claim 1 , the acts further comprising: identifying a region of interest in a field of view of the LIDAR system; identifying an angular range in elevation with respect to the LIDAR system, wherein the angular range encompasses the region of interest, wherein the M channels are identified based upon the angular range in elevation with respect to the LIDAR system. 7. The autonomous vehicle of claim 6 , the acts further comprising: identifying an object in the field of view of the LIDAR system based upon output of a sensor system of the autonomous vehicle, wherein the region of interest is identified based upon a location of the object identified in the field of view of the LIDAR system. 8. The autonomous vehicle of claim 1 , wherein the M channels are identified based upon a tilt of the LIDAR system relative to a horizontal plane. 9. The autonomous vehicle of claim 1 , wherein the M channels are identified based upon content of a three-dimensional map of an environment of the autonomous vehicle. 10. A method performed by a computing system of an autonomous vehicle, the method comprising: for a scan of an N-channel LIDAR system of the autonomous vehicle, identifying M channels that are to be active during the scan and N-M channels that are to be inactive during the scan, where N is greater than M; and transmitting a command signal to the N-channel LIDAR system that causes the M channels to be active and the N-M channels to be inactive during the scan, wherein the N-channel LIDAR system generates a point cloud based upon the M channels being active and the N-M channels being inactive. 11. The method of claim 10 , wherein N is 32 and M is 16. 12. The method of claim 10 , wherein the point cloud comprises a first horizontal band and a second horizontal band that is non-overlapping with the first horizontal band, wherein the first horizontal band has a first resolution and the second horizontal band has a second resolution that is different from the first resolution. 13. The method of claim 12 , further comprising controlling a mechanical system of the autonomous vehicle based upon the point cloud, the mechanical system being one of a propulsion system, a braking system, or a steering system. 14. The method of claim 10 , wherein at least two of the M channels are vertically adjacent to one another on a spindle of the N-channel LIDAR system. 15. The method of claim 10 , the acts further comprising: identifying a region of interest in a field of view of the N-channel LIDAR system; identifying an angular range in elevation with respect to the N-channel LIDAR system, wherein the angular range encompasses the region of interest, wherein the M channels are identified based upon the angular range in elevation with respect to the N-channel LIDAR system. 16. The method of claim 15 , further comprising: identifying an object in the field of view of the N-channel LIDAR system based upon output of a sensor system of the autonomous vehicle, wherein the region of interest is identified based upon a location of the object identified in the field of view of the N-channel LIDAR system. 17. The method of claim 10 , wherein the M channels are identified based upon a tilt of the N-channel LIDAR system relative to a horizontal plane. 18. The method of claim 10 , wherein the M channels are identified based upon content of a three-dimensional map of an environment of the autonomous vehicle. 19. A spinning LIDAR system mounted on or incorporated in an autonomous vehicle, the spinning LIDAR system comprising: N channels, wherein each channel is a light emitter/light detector pair, wherein the spinning LIDAR system is configured to: receive a command signal from a computing system that is in communication with the LIDAR system, wherein the command signal includes identities of M channels in the N channels that are to be active during a scan of the LIDAR system; performing the scan based upon the command signal, wherein during the scan the M channels identified in the command signal are active and remaining N-M channels are inactive; and generating a point cloud for the scan, wherein the point cloud includes a first horizontal band and a second horizontal band, wherein the first horizontal band has a first resolution and the second horizontal band has a second resolution that is different from the first resolution. 20. The spinning LIDAR system of claim 19 , wherein N is 32 and M is 16.

Assignees

Inventors

Classifications

  • using transmission of interrupted, pulse-modulated waves (determination of distance by phase measurements G01S17/32) · CPC title

  • relating to scanning · CPC title

  • using multiple transmitters · CPC title

  • Evaluating distance, position or velocity data · CPC title

  • G01S17/89Primary

    for mapping or imaging · CPC title

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What does patent US11467287B2 cover?
An autonomous vehicle having a LIDAR system mounted thereon or incorporated therein is described. The LIDAR system has N channels, with each channel being a light emitter/light detector pair. A computing system identifies M channels that are to be active during a scan of the LIDAR system, wherein M is less than N. The computing system transmits a command signal to the LIDAR system, and the LIDA…
Who is the assignee on this patent?
Gm Cruise Holdings Llc
What technology area does this patent fall under?
Primary CPC classification G01S17/89. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 11 2022 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 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).