IP Library Granted Patent US 10,699,136
Granted Patent B2
US 10,699,136 · App. 16/073,760 · Granted Jun 30, 2020

System and method for camera-based detection of object heights proximate to a vehicle

Inventors: Paul Alan Theodosis (Rancho Palos Verdes, CA); Oliver Max Jeromin (Torrance, CA)
Assignee: FARADAY & FUTURE INC.
G06K9/00805G06K9/00812
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Quick Facts
Patent No.
US 10,699,136
App. No.
16/073,760
Granted
Jun 30, 2020
Kind
B2
Abstract

The present invention is generally directed to optical data processing or objects in proximity to an optical sensor or camera, such as a camera mounted on a vehicles. Image data is received from a camera mounted on a vehicle, the image data indicative of a motion of the camera with respect to a detected object within a proximity of the camera or the vehicle on which the camera may be mounted. An optical flow of the object in the image data is determined, and a height of the object is determined based on the determined optical flow.

Claims (51)

1. An optical processing system of a vehicle comprising:

one or more processors; and

a memory including instructions, which when executed by the one or more processors, cause the one or more processors to perform a method comprising the steps of:

receiving image data from a first camera of the vehicle, the image data indicative of a motion of the first camera with respect to a first object in proximity to the vehicle and indicative of a motion of the first camera with respect to a second object in proximity to the vehicle;

determining a first optical flow of the first object in the image data;

determining a first height of the first object based on the first optical flow;

determining a second optical flow, different from the first optical flow, of the second object in the image data;

determining a second height of the second object, different from the first height, based on the first optical flow;

identifying the first object in the image data as a curb based on the first optical flow; and

identifying the second object in the image data as an object on the curb based on the second optical flow.

2. The system of claim 1 , wherein said step of determining the first height of the first object based on the first optical flow further comprises the steps of:

comparing the first optical flow to the second optical flow of the second object in the image data;

in accordance with a determination that the first optical flow is less than the second optical flow, determining that the first height of the first object is less than the second height of the second object; and

in accordance with a determination that the first optical flow is greater than the second optical flow, determining that the first height of the first object is greater than the second height of the second object.

3. The system of claim 2 , wherein said step of determining the first height of the first object based on the first optical flow includes

determining the first height of the first object based on a difference between the first optical flow and the second optical flow.

4. The system of claim 1 , wherein said step of determining the first height of the first object based on the first optical flow comprises the steps of:

comparing the first optical flow to a predetermined optical flow, the predetermined optical flow being independent of the image data and corresponding to a predetermined height;

in accordance with a determination that the first optical flow is less than the predetermined optical flow, determining that the first height of the first object is less than the predetermined height; and

in accordance with a determination that the first optical flow is greater than the predetermined optical flow, determining that the first height of the first object is greater than the predetermined height.

5. The system of claim 4 , wherein said step of determining the first height of the first object based on the first optical flow includes

determining the first height of the first object based on a difference between the first optical flow and the predetermined optical flow.

6. The system of claim 1 , wherein the step of identifying the first object comprises the steps of:

comparing the first height of the first object to a predetermined height associated with a particular object, the predetermined height being independent of the image data; and

in accordance with a determination that the first height is within a predetermined height threshold of the predetermined height, identifying the first object as the particular object.

7. The system of claim 1 , wherein the step of identifying the first object comprises the steps of:

comparing the first optical flow of the first object to a predetermined optical flow associated with a particular object, the predetermined optical flow being independent of the image data; and

in accordance with a determination that the first optical flow is within a predetermined optical flow threshold of the predetermined optical flow, identifying the first object as the particular object.

8. The system of claim 1 , said method further comprising the step of determining a first location of the first object relative to the vehicle based on the image data.

9. The system of claim 8 , wherein said step of determining the first location of the first object is based on the image data and data from a second sensor, different from the first camera.

10. The system of claim 9 , wherein the second sensor comprises one of an ultrasonic sensor, a radar sensor, a laser sensor and a LIDAR sensor.

11. The system of claim 1 , said method further comprising the step of performing autonomous driving or parking operations with the vehicle based on the determined first height.

12. A non-transitory computer-readable medium including instructions, which when executed by one or more processors, cause the one or more processors to perform a method comprising:

receiving image data from a first camera, the image data indicative of a motion of the first camera with respect to a first object in proximity to the first camera and indicative of a motion of the first camera with respect to a second object in proximity to the first camera;

determining a first optical flow of the first object in the image data; and

determining a first height of the first object relative to the first camera based on the first optical flow

determining a second optical flow, different from the first optical flow, of the second object in the image data;

determining a second height of the second object, different from the first height, based on the first optical flow;

identifying the first object in the image data as a curb based on the first optical flow; and

identifying the second object in the image data as an object on the curb based on the second optical flow.

13. A vehicle comprising:

a first camera;

one or more processors coupled to the first camera; and

a memory including instructions, which when executed by the one or more processors, cause the one or more processors to perform a method comprising:

receiving image data from the first camera, the image data indicative of a motion of the first camera with respect to a first object in an environment of the vehicle and indicative of a motion of the first camera with respect to a second object in the environment of the vehicle;

determining a first optical flow of the first object in the image data; and

determining a first height of the first object based on the first optical flow;

determining a second optical flow, different from the first optical flow, of the second object in the image data;

determining a second height of the second object, different from the first height, based on the first optical flow;

identifying the first object in the image data as a curb based on the first optical flow; and

identifying the second object in the image data as an object on the curb based on the second optical flow.

Assignments (7)
SECURITY INTEREST Recorded Sep 25, 2024
From: FARADAY&FUTURE, INC.
To: SENYUN INTERNATIONAL LTD.
Reel/Frame 069048/0500 →
SECURITY INTEREST Recorded Aug 15, 2022
From: FARADAY&FUTURE INC.
To: FF SIMPLICY VENTURES LLC
Reel/Frame 061176/0756 →
RELEASE OF SECURITY INTEREST RECORDED AT REEL/FRAME 050234/0069 Recorded Jun 8, 2022
From: ARES CAPITAL CORPORATION, AS SUCCESSOR COLLATERAL AGENT
To: CITY OF SKY LIMITED; EAGLE PROP HOLDCO LLC; FARADAY & FUTURE INC.; FARADAY FUTURE LLC; FF EQUIPMENT LLC; FF HONG KONG HOLDING LIMITED; FF INC.; FF MANUFACTURING LLC; ROBIN PROP HOLDCO LLC; SMART KING LTD.; SMART TECHNOLOGY HOLDINGS LTD.; FARADAY SPE, LLC
Reel/Frame 060314/0263 →
ACKNOWLEDGEMENT OF SUCCESSOR COLLATERAL AGENT UNDER INTELLECTUAL PROPERTY SECURITY AGREEMENT Recorded Jul 29, 2021
From: BIRCH LAKE FUND MANAGEMENT, LP, AS RETIRING AGENT
To: ARES CAPITAL CORPORATION, AS SUCCESSOR AGENT
Reel/Frame 057019/0140 →
SECURITY INTEREST Recorded Oct 14, 2020
From: ROYOD LLC
To: BIRCH LAKE FUND MANAGEMENT, LP
Reel/Frame 054076/0157 →
ACKNOWLEDGEMENT OF SUCCESSOR COLLATERAL AGENT UNDER INTELLECTUAL PROPERTY SECURITY AGREEMENT Recorded Mar 5, 2020
From: BIRCH LAKE FUND MANAGEMENT, LP, AS RETIRING AGENT
To: ROYOD LLC, AS SUCCESSOR AGENT
Reel/Frame 052102/0452 →
SECURITY INTEREST Recorded May 1, 2019
From: CITY OF SKY LIMITED; EAGLE PROP HOLDCO LLC; FARADAY FUTURE LLC; FE EQUIPMENT LLC; FF HONG KONG HOLDING LIMITED; FF INC.; FF MANUFACTURING LLC; ROBIN PROP HOLDCO LLC; SMART KING LTD.; SMART TECHNOLOGY HOLDINGS LTD.; FARADAY SPE, LLC; FARADAY & FUTURE INC.
To: BIRCH LAKE FUND MANAGEMENT, LP
Reel/Frame 050234/0069 →
Cited By (1)
US 12,499,690