Marquette University

Henry Ponti Medeiros

Chung Hoon Lee

James D O'Rourke

Juan Tapiero Bernal

Spencer M Sebo

Walter Miller McDonald

Andres Echeverri Guevara

Jamir Shariar Jyoti

James Richie

Described here are systems and methods that utilize visual imagery and an optical flow-based computer vision algorithm to measure river velocity in streams or other flowing bodies of water. The systems and methods described in the present disclosure overcome the barriers of conventional flow measurement techniques by providing a fast, non-intrusive, remote method to measure peak flows.

Systems and methods for remote sensing of river velocity using video and an optical flow algorithm

Disclosed are systems and methods of sensor fusion for exemplary use with robotic navigation control. Systems and methods include providing local estimates of a target location from a plurality of expert modules that process sensor data. The local estimates are weighted based upon a Mahalanobis distance from an expected estimated value and based upon a Euclidean distance between the local estimates. The local estimates are fused in a Bayesian fusion center based upon the weight given to each of the local estimates.

Robotic tracking navigation with data fusion

Growing community of inventors

Fox Point, WI, United States of America

Henry Ponti Medeiros