公开(公告)号：US20220375134A1

公开(公告)日：2022-11-24

申请号：US17734858

申请日：2022-05-02

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Qi ZHAO ,  Yi LI ,  Xin TIAN ,  Genshe CHEN ,  Erik BLASCH ,  Khanh PHAM

IPC: G06T9/00 ,  G06T3/00 ,  G06V10/25 ,  G01S17/89

Abstract: A method for point cloud compression of an intelligent cooperative perception (iCOOPER) for autonomous air vehicles (AAVs) includes: receiving a sequence of consecutive point clouds; identifying a key point cloud (K-frame) from the sequence of consecutive point clouds; transforming each of the other consecutive point clouds (P-frames) to have the same coordinate system as the K-frame; converting each of the K-frame and P-frames into a corresponding range image; spatially encoding the range image of the K-frame by fitting planes; and temporally encoding each of the range images of the P-frames using the fitting planes.

公开(公告)号：US20220172122A1

公开(公告)日：2022-06-02

申请号：US17563014

申请日：2021-12-27

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Dan SHEN ,  Peter ZULCH ,  Marcello DISASIO ,  Erik BLASCH ,  Genshe CHEN

IPC: G06N20/00 ,  H04N5/33 ,  G06K9/62

Abstract: The present disclosure provide a system, a method, and a storage medium for distributed joint manifold learning (DJML) based heterogeneous sensor data fusion. The system includes a plurality of nodes; and each node includes at least one camera; one or more sensors; at least one memory configured to store program instructions; and at least one processor, when executing the program instructions, configured to obtain heterogeneous sensor data from the one or more sensors to form a joint manifold; determine one or more optimum manifold learning algorithms by evaluating a plurality of manifold learning algorithms based on the joint manifold; compute a contribution of the node based on the one or more optimum manifold learning algorithms; update a contribution table based on the contribution of the node and contributions received from one or more neighboring nodes; and broadcast the updated contribution table to the one or more neighboring nodes.

公开(公告)号：US11323177B2

公开(公告)日：2022-05-03

申请号：US17021289

申请日：2020-09-15

Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.

Inventor： Lun Li ,  Yi Li ,  Sixiao Wei ,  Dan Shen ,  Genshe Chen

IPC: H04B10/077 ,  H04B10/11 ,  G06N3/04 ,  G06K9/62 ,  G06N3/08

Abstract: Various embodiments provide a method for free space optical communication performance prediction method. The method includes: in a training stage, collecting a large number of data representing FSOC performance from external data sources and through simulation in five feature categories; dividing the collected data into training datasets and testing datasets to train a prediction model based on a deep neural network (DNN); evaluating a prediction error by a loss function and adjusting weights and biases of hidden layers of the DNN to minimize the prediction error; repeating training the prediction model until the prediction error is smaller than or equal to a pre-set threshold; in an application stage, receiving parameters entered by a user for an application scenario; retrieving and preparing real-time data from the external data sources for the application scenario; and generating near real-time FSOC performance prediction results based on the trained prediction model.

公开(公告)号：US20220092420A1

公开(公告)日：2022-03-24

申请号：US17480999

申请日：2021-09-21

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Jingyang LU ,  Erik BLASCH ,  Roman ILIN ,  Hua-mei CHEN ,  Dan SHEN ,  Nichole SULLIVAN ,  Genshe CHEN

IPC: G06N3/08 ,  G06K9/62 ,  G06K9/00

Abstract: Embodiments of the present disclosure provide a method, a device, and a storage medium for domain adaptation for efficient learning fusion (DAELF). The method includes acquiring data from a plurality of data sources of a plurality of sensors; for each of the plurality of sensors, training an auxiliary classifier generative adversarial network (AC-GAN) by a hardware processor with data from each data source of the plurality of data sources, thereby obtaining a trained feature extraction network and a trained label prediction network for each data source; forming a decision-level fusion network or a feature-level fusion network; and training the decision-level fusion network or the feature-level fusion network with a source-only mode or a generate to adapt (GTA) mode; and applying the trained decision-level fusion network or the trained feature-level fusion network to detect a target of interest.

公开(公告)号：US20220085878A1

公开(公告)日：2022-03-17

申请号：US17021289

申请日：2020-09-15

Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.

Inventor： Lun LI ,  Yi LI ,  Sixiao WEI ,  Dan SHEN ,  Genshe CHEN

IPC: H04B10/077 ,  G06N3/04 ,  H04B10/11 ,  G06K9/62 ,  G06N3/08

Abstract: Various embodiments provide a method for free space optical communication performance prediction method. The method includes: in a training stage, collecting a large number of data representing FSOC performance from external data sources and through simulation in five feature categories; dividing the collected data into training datasets and testing datasets to train a prediction model based on a deep neural network (DNN); evaluating a prediction error by a loss function and adjusting weights and biases of hidden layers of the DNN to minimize the prediction error; repeating training the prediction model until the prediction error is smaller than or equal to a pre-set threshold; in an application stage, receiving parameters entered by a user for an application scenario; retrieving and preparing real-time data from the external data sources for the application scenario; and generating near real-time FSOC performance prediction results based on the trained prediction model.

公开(公告)号：US10951304B2

公开(公告)日：2021-03-16

申请号：US16275859

申请日：2019-02-14

Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.

Inventor： Khanh Pham ,  Dan Shen ,  Xin Tian ,  Genshe Chen

IPC: H04B7/185 ,  H04L12/813 ,  H04L12/24 ,  H04L12/863 ,  H04W28/02

Abstract: A satellite communication framework includes a satellite system controller; at least one satellite transponder; and a plurality of remote terminals, each including a modem, a router, and a terminal agent. The terminal agent is configured to, based on a current allowable data rate and measurements of a current router queue size and a current router packet arrival rate, use a delayed uplink resource assignment for each modem and an MCV-based flow-control policy to forecast a future router queue size and a future router packet arrival rate and further update the delayed uplink resource request for a time after an uplink allocation delay. The modem is configured to communicate with the router and also with the satellite system controller through the satellite transponder, perform modulation and demodulation, and manage packet loss and delay according to the future router queue size and the future router packet arrival rate.

公开(公告)号：US20190356053A1

公开(公告)日：2019-11-21

申请号：US15983266

申请日：2018-05-18

Applicant: Intelligent Fusion Technology, Inc

Inventor： Xingping LIN ,  Zhonghai WANG ,  Genshe CHEN ,  Erik BLASCH ,  Khanh PHAM

IPC: H01Q9/28 ,  H01Q5/378 ,  H01Q1/38

Abstract: A cone-based multi-layer wide band antenna is provided, including a cone-based member having a multi-layer structure. The multi-layer structure includes a first layer conical structure, and the first layer conical structure has a height and a base radius configured to provide a desired impedance of the antenna.

公开(公告)号：US10476678B2

公开(公告)日：2019-11-12

申请号：US15469667

申请日：2017-03-27

Applicant: Intelligent Fusion Technology, Inc

Inventor： Yiran Xu ,  Gang Wang ,  Sixiao Wei ,  Genshe Chen ,  Khanh Pham ,  Erik Blasch

IPC: H04L9/32 ,  H04L29/06 ,  H04W12/04 ,  H04W28/04 ,  H03K9/00 ,  H04L27/00 ,  H03K7/00

Abstract: Methods and systems for cyber secure data communications are provided. In some embodiments, a method for transmitting data comprises: performing a marker-based data encoding process to embed a digital watermark into each of a plurality of original data flows to be transmitted to a plurality of receivers; performing a non-orthogonal multiple access process to allocate transmission powers to the plurality of original data flows, such that the plurality of original data flows are simultaneously superposed on a carrier frequency to generate a superposed signal; performing a noise modulation process to modulate the superposed signal to generate a noise-like signal and a reference noise signal; transmitting the noise-like signal and the reference noise signal through orthogonally polarized antennas; and performing a portal-based data integrity analysis process to check whether a receiver in the plurality of receivers is compromised or manipulated.

公开(公告)号：US10348362B2

公开(公告)日：2019-07-09

申请号：US16169640

申请日：2018-10-24

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Xin Tian ,  Genshe Chen ,  Khanh Pham ,  Erik Blasch

IPC: H04B1/71 ,  H04B1/719 ,  H04B17/318 ,  H04B17/345 ,  H04B1/715 ,  H04B7/185 ,  H04B1/7156

Abstract: The present disclosure provides a method for fusion and inference with per-hop link quality measurements in frequency hopping satellite communication (SATCOM) systems. The method includes: grouping hops having a same SATCOM link set into one hop group such that the one hop group contains a plurality of same SATCOM link sets; grouping the measurement sets into one or more first measurement groups, based on a link identification; in the each first measurement group having the same link identification, further grouping the measurement sets having a same range of the signal amplitude measurements into one or more second measurement groups; obtaining interference conditions by associating second measurement groups of all links in each hop group based on hop identifications belonging to the second measurement groups.

公开(公告)号：US10249047B2

公开(公告)日：2019-04-02

申请号：US15914868

申请日：2018-03-07

Applicant: Intelligent Fusion Technology, Inc

Inventor： Bin Jia ,  Sixiao Wei ,  Zhijiang Chen ,  Genshe Chen ,  Carolyn Sheaff ,  Khanh Pham ,  Erik Blasch

IPC: G06T7/20 ,  G06T1/20 ,  G06F9/54 ,  G06F17/30 ,  H04L29/08

Abstract: Method and system for detecting and tracking multiple moving targets based on wide-area motion imagery are provided. The method includes receiving a task request from a client; sending the task request to a local agent; acquiring to-be-processed images from the client, in response to the task request; calling an Hadoop API and checking a running status of a Hadoop system for an available resource in the Hadoop system; when a resource in the Hadoop system is available, pushing the to-be processed images to a back-end Hadoop distributed file system (HDFS); running tracking algorithms of multiple moving objects associated with the to-be-processed images to provide tracking results of the multiple moving objects; when the Hadoop system is completed in running the tracking algorithms, generating and sending a message to the local agent; and sending the tracking results of the multiple moving objects from the HDFS to the front-end database.