Fedex Corporate Services, Inc.

Federal Express Corporation

Collin S Davenport

Reuben F Burch, V

Michael S Mazzola

Howard McKinney

Andrew M LeClair

James R Gafford

John E Ball

Tyler J Hannis

Yucheng Liu

Lucas D Cagle

Andrew R Hegman

Tasmia Reza

Jian Shi

Pan Wei

Dennison W Iacomini

V Reuben Burch

Andrew M Leclair

Howard G Mcckinney

Reuben F Burch V

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.

Systems and methods for enhanced collision avoidance on logistics ground support equipment using multi-sensor detection fusion

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Vicksburg, MS, United States of America

Collin S Davenport