公开(公告)号：US12299899B2

公开(公告)日：2025-05-13

申请号：US17978873

申请日：2022-11-01

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  The Trustees of the University of Pennsylvania

Inventor： Ziyun Wang ,  Fernando Cladera Ojeda ,  Anthony Robert Bisulco ,  Dae Won Lee ,  Camillo J. Taylor ,  Konstantinos Daniilidis ,  Ani Hsieh ,  Ibrahim Volkan Isler

IPC: G06T7/20 ,  A63B65/12 ,  G06V10/82 ,  G06V20/40

Abstract: 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.

公开(公告)号：US11871156B2

公开(公告)日：2024-01-09

申请号：US17129018

申请日：2020-12-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Anthony Robert Bisulco ,  Fernando Cladera Ojeda ,  Ibrahim Volkan Isler ,  Daniel Dongyuel Lee

IPC: H04N19/00 ,  H04N19/169 ,  H04N19/14 ,  G06V20/40 ,  H04N7/18 ,  G06T9/00 ,  H04L43/04 ,  H04L43/028 ,  G06V20/52 ,  G06V40/20 ,  G06F18/21 ,  G06V10/10 ,  G06V10/764 ,  G06V10/147 ,  H04N25/47

CPC classification number: H04N7/188 ,  G06F18/2193 ,  G06T9/002 ,  G06V10/10 ,  G06V10/147 ,  G06V10/764 ,  G06V20/44 ,  G06V20/52 ,  G06V40/25 ,  H04L43/028 ,  H04L43/04 ,  H04N7/181 ,  H04N19/00 ,  H04N19/14 ,  H04N19/188 ,  H04N25/47

Abstract: A detection system includes a filter and a detector. The filter receives input packets from one or more dynamic vision sensors (DVSs) deployed in an area. The filter reduces the bandwidth of the input packets to produce compressed data packets while maintaining good end-to-end detection capability. The compressed data packets are transmitted to a detector in a low bandwidth transmission. The detector may collect compressed data packets from many filters. The detector determines if an object of interest is represented in the information of the input packets. If an object of interest is present, the detector activates an alarm, sends a notification to a person associated with the area and/or stores an indication in a database.