Samsung Electronics Co., Ltd.

University of Pennsylvania

Ani Hsieh

Ibrahim Volkan Isler

Camillo Jose Taylor

Dae Won Lee

Konstantinos Daniilidis

Ziyun Wang

Anthony Robert Bisulco

Fernando Cladera Ojeda

Provided is a method for predicting a location of a fast-moving object. The method includes receiving event information from an event camera, the event information corresponding to an event detected by the event camera, generating a Binary Event History Image (BEHI) based on the event information, providing the BEHI as an input to an event-based neural network, obtaining, as an output of the event-based neural network, a first predicted location of the fast-moving object, a normal distribution indicating prediction uncertainty of the predicted location, and a predicted time-to-collision (TTC). The method further includes estimating a second predicted location of the fast-moving object based on the first predicted location, the normal distribution, and the predicted TTC output by the event-based neural network, and actuating a mechanical catching device to be at the second predicted location.

Systems and methods for real-time state estimation of fast-moving objects

Growing community of inventors

Marlton, NJ, United States of America

Ani Hsieh