Camera Based Auto Drive Auto Charge

US2021402924A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2021402924-A1
Application numberUS-202117463925-A
CountryUS
Kind codeA1
Filing dateSep 1, 2021
Priority dateMar 31, 2016
Publication dateDec 30, 2021
Grant date

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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.

A vehicle control system for moving a vehicle to a target location is disclosed. According to examples of the disclosure, a camera captures one or more images of a known object corresponding to the target location. An on-board computer having stored thereon information about the known object can process the one or more images to determine vehicle location with respect to the known object. The system can use the vehicle's determined location and a feedback controller to move the vehicle to the target location.

First claim

Opening claim text (preview).

1 - 22 . (canceled) 23 . A method of moving a vehicle to a target location, the method comprising: capturing, with a camera of the vehicle, one or more images of an object having a plurality of visual features; performing image processing on the one or more images to identify one or more visual indicators associated with the object; determining a distance error, heading error, and lateral error using the one or more visual indicators; providing the distance error, heading error, and lateral error to a vehicle control system of the vehicle; and moving the vehicle to reducing one or more of the distance error, heading error, and lateral error if at least one of the distance error, heading error, and lateral error is outside of a predefined error threshold. 24 . The method of claim 23 , wherein the object comprises a cylindrical portion. 25 . The method of claim 24 , wherein performing image processing on the one or more images further comprises identifying visual indicators comprising a left edge, center edge, and right edge of the cylindrical portion. 26 . The method of claim 25 , wherein identifying a left edge, center edge, and right edge of the cylindrical portion further comprises determining where the left edge and the right edge of the cylindrical portion fall within each of the one or more images. 27 . The method of claim 26 , wherein identifying a left edge, center edge, and right edge of the cylindrical portion further comprises determining where the center edge of the cylindrical portion is located within each of the one or more images. 28 . The method of claim 27 , further comprising determining a distance at which the vehicle located with respect to the object by mapping an amount by which a size of the cylindrical portion in one of the images differs from a calibration size. 29 . The method of claim 26 , wherein performing image processing on the one or more images further comprises detecting a relative location of the center edge within one of the images to determine a vehicle heading angle. 30 . The method of claim 26 , wherein performing image processing on the one or more images further comprises comparing a position of the center edge in at least one of the images to a calibration position of the center edge. 31 . The method of claim 30 , further comprises determining a heading angle of the vehicle with respect to the object by mapping an amount by which the position of the center edge differs from the calibration position to an absolute heading angle. 32 . The method of claim 26 , further comprises detecting a relative sizes of each half of the cylindrical portion of the object. 33 . The method of claim 32 , further comprises determining a lateral angle of the vehicle from a ration of the relative sizes of the each half of the cylindrical portion of the object. 34 . The method of claim 32 , further comprises determining a lateral angle of the vehicle by mapping the positions of the left edge, right edge, and center edge to an absolute lateral angle. 35 . The method of claim 34 , further comprises capturing the absolute lateral angle when the vehicle is in the target location. 36 . A vehicle position calibration method comprising: positioning a vehicle in a desired location; capturing an image of an object using a camera of the vehicle; performing imaging processing on the captured image; locating a left edge, a center edge, and a right edge of a portion of the object; and storing locations of the left edge, center edge, and right edge. 37 . The vehicle position calibration method, wherein performing imaging processing on the captured image comprises calculating a vertical projection. 38 . The vehicle position calibration method of claim 36 , wherein the portion of the object is cylindrical. 39 . The vehicle position calibration method of claim 36 , further comprises calculating one or more of a baseline distance, heading angle, and lateral angle using the stored locations of the left edge, center edge, and right edge.

Assignees

Inventors

Classifications

  • B60Q9/005Primary

    using a video camera · CPC title

  • B60L53/37Primary

    using optical position determination, e.g. using cameras · CPC title

  • Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components · CPC title

  • Energy storage systems for electromobility, e.g. batteries · CPC title

  • Auto pilot mode · CPC title

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Frequently asked questions

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What does patent US2021402924A1 cover?
A vehicle control system for moving a vehicle to a target location is disclosed. According to examples of the disclosure, a camera captures one or more images of a known object corresponding to the target location. An on-board computer having stored thereon information about the known object can process the one or more images to determine vehicle location with respect to the known object. The s…
Who is the assignee on this patent?
Faraday&Future Inc
What technology area does this patent fall under?
Primary CPC classification B60Q9/005. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Thu Dec 30 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). 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).