The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 01, 2020

Filed:

Feb. 26, 2019
Applicant:

Fedex Corporate Services, Inc., Collierville, TN (US);

Inventors:

John E. Ball, Starkville, MS (US);

Reuben F. Burch, V, Columbus, MS (US);

Lucas D. Cagle, Starkville, MS (US);

Collin S. Davenport, Vicksburg, MS (US);

James R. Gafford, Charlotte, NC (US);

Tyler J. Hannis, Starkville, MS (US);

Andrew R. Hegman, Carmel, IN (US);

Andrew M. LeClair, Starkville, MS (US);

Yucheng Liu, Starkville, MS (US);

Michael S. Mazzola, Mint Hill, NC (US);

Howard G. McKinney, Bartlett, TN (US);

Tasmia Reza, Central, SC (US);

Jian Shi, Starkville, MS (US);

Pan Wei, Cambridge, MA (US);

Dennison W. Iacomini, Pensacola, FL (US);

Assignee:

FEDEX CORPORATE SERVICES, INC., Collierville, TN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/70 (2006.01); G05D 1/02 (2020.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01); G01S 17/931 (2020.01);
U.S. Cl.
CPC ...
G05D 1/0223 (2013.01); G01S 17/931 (2020.01); G05D 1/0221 (2013.01); G05D 1/0236 (2013.01); G05D 1/0248 (2013.01); G06N 3/08 (2013.01); G06N 5/046 (2013.01);
Abstract

Enhanced systems and methods for collision avoidance of a high value asset with reflective beacons around it using multi-sensor data fusion on a mobile industrial vehicle. The system has a sensing processing system with a LiDAR and camera sensors, and a multi-processor module responsive to the different sensors. The sensing processing system fuses the different sensor data to locate the reflective beacons. A model predictive controller on the vehicle determines possible control solutions where each defines a threshold allowable speed for the vehicle at discrete moments based upon an estimated path to a breaching point projected from the reflective beacons, and then identifies an optimal one of the control solutions based upon a performance cost function and associated with an optimal threshold allowable speed. The system has a vehicle actuator configured to respond and alter vehicle movement to avoid a collision when the vehicle exceeds the optimal threshold allowable speed.


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