公开(公告)号：US20220274251A1

公开(公告)日：2022-09-01

申请号：US17525785

申请日：2021-11-12

Applicant: INTEL CORPORATION

Inventor： Javier Felip Leon ,  Ignacio Javier Alvarez ,  David Isreal Gonzalez-Aguirre ,  Javier Sabastian Turek ,  Justin Gottschlich

IPC: B25J9/16 ,  G05B13/02 ,  G06N3/04

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for industrial robot code recommendation. Disclosed examples include an apparatus comprising: at least one memory; instructions in the apparatus; and processor circuitry to execute the instructions to at least: generate at least one action proposal for an industrial robot; rank the at least one action proposal based on encoded scene information; generate parameters for the at least one action proposal based on the encoded scene information, task data, and environment data; and generate an action sequence based on the at least one action proposal.

公开(公告)号：US11386157B2

公开(公告)日：2022-07-12

申请号：US16457203

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： Luis Carlos Maria Remis ,  Ignacio Javier Alvarez ,  Li Chen ,  Javier Felip Leon ,  David Israel Gonzalez Aguirre ,  Justin Gottschlich ,  Javier Sebastian Turek

IPC: G06F16/9032 ,  G06F16/2457 ,  G06F16/9038

Abstract: Methods and apparatus to facilitate generation of database queries are disclosed. An example apparatus includes a generator to generate a global importance tensor. The global importance tensor based on a knowledge graph representative of information stored in a database. The knowledge graph includes objects and connections between the objects. The global importance tensor includes importance values for different types of the connections between the objects. The example apparatus further includes an importance adaptation analyzer to generate a session importance tensor based on the global importance tensor and a user query, and a user interface to provide a suggested query to a user based on the session importance tensor.

公开(公告)号：US11345342B2

公开(公告)日：2022-05-31

申请号：US16586665

申请日：2019-09-27

Applicant: Intel Corporation

Inventor： David Gomez Gutierrez ,  Javier Felip Leon ,  Kshitij A. Doshi ,  Leobardo E. Campos Macias ,  Nilesh Amar Ahuja ,  Omesh Tickoo

IPC: B60W30/095 ,  B60W50/14 ,  G06V20/58 ,  G06V40/10

Abstract: An apparatus comprising a memory to store an observed trajectory of a pedestrian, the observed trajectory comprising a plurality of observed locations of the pedestrian over a first plurality of timesteps; and a processor to generate a predicted trajectory of the pedestrian, the predicted trajectory comprising a plurality of predicted locations of the pedestrian over the first plurality of timesteps and over a second plurality of timesteps occurring after the first plurality of timesteps; determine a likelihood of the predicted trajectory based on a comparison of the plurality of predicted locations of the pedestrian over the first plurality of timesteps and the plurality of observed locations of the pedestrian over the first plurality of timesteps; and responsive to the determined likelihood of the predicted trajectory, provide information associated with the predicted trajectory to a vehicle to warn the vehicle of a potential collision with the pedestrian.

公开(公告)号：US11314258B2

公开(公告)日：2022-04-26

申请号：US16727955

申请日：2019-12-27

Applicant: Intel Corporation

Inventor： David Gomez Gutierrez ,  Ranganath Krishnan ,  Javier Felip Leon ,  Nilesh Ahuja ,  Ibrahima Ndiour

IPC: G05D1/02 ,  B60W50/02 ,  B60W30/095 ,  B60W50/00 ,  B60W40/02

Abstract: A safety system for a vehicle may include one or more processors configured to determine uncertainty data indicating uncertainty in one or more predictions from a driving model during operation of a vehicle; change or update one or more of the driving model parameters to one or more changed or updated driving model parameters based on the determined uncertainty data; and provide the one or more changed or updated driving model parameters to a control system of the vehicle for controlling the vehicle to operate in accordance with the driving model including the one or more changed or updated driving model parameters.

公开(公告)号：US20220067012A1

公开(公告)日：2022-03-03

申请号：US17228864

申请日：2021-04-13

Applicant: Intel Corporation

Inventor： David I. Gonzalez Aguirre ,  Ignacio J. Alvarez ,  Javier Felip Leon

IPC: G06F16/22 ,  G06F16/2458 ,  G06F16/23

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve spatial-temporal data management. An example apparatus includes a hypervoxel data structure generator to generate a root hexatree data structure having sixteen hypernodes, an octree manager to improve a spatiotemporal data access efficiency by generating a first degree of symmetry in the root hexatree, the octree manager to assign a first portion of the hypernodes to a positive temporal subspace and to assign a second portion of the hypernodes to a negative temporal subspace, and a quadtree manager to improve the spatiotemporal data access efficiency by generating a second degree of symmetry in the root hexatree, the quadtree manager to assign respective hypernodes of the positive temporal subspace and the negative temporal subspace to respective positive and negative spatial subspaces.

公开(公告)号：US11214268B2

公开(公告)日：2022-01-04

申请号：US16235917

申请日：2018-12-28

Applicant: Intel Corporation

Inventor： David I. Gonzalez Aguirre ,  Sridhar G. Sharma ,  Javier Felip Leon ,  Javier S. Turek ,  Maria Soledad Elli

IPC: B60W50/02 ,  G05D1/00 ,  G06N20/00 ,  G06N3/08

Abstract: An example includes obtaining first sensor data from a first sensor and second sensor data from a second sensor, the first sensor of a first sensor type different than a second sensor type of the second sensor; generating first encoded sensor data based on the first sensor data and second encoded sensor data based on the second sensor data; generating a contextual fused sensor data representation of the first and second sensor data based on the first and second encoded sensor data; generating first and second reconstructed sensor data based on the contextual fused sensor data representation; determining a deviation estimation based on the first and second reconstructed sensor data, the deviation estimation representative of a deviation between: (a) the first reconstructed sensor data, and (b) the first sensor data; and detecting an anomaly in the deviation estimation, the anomaly indicative of an error associated with the first sensor.

公开(公告)号：US20210407285A1

公开(公告)日：2021-12-30

申请号：US17464485

申请日：2021-09-01

Applicant: Intel Corporation

Inventor： Javier Felip Leon ,  Omar Florez ,  David Gonzalez Aguirre ,  Glen J. Anderson

IPC: G08G1/01 ,  G05D1/00 ,  G08G1/00

Abstract: Various systems and methods for implementing intelligent traffic management for vehicle platoons are described herein. A road controller system includes A road controller system comprising: a data store to store an active traffic policy; a processor subsystem to: determine a speed or platoon size of a vehicle platoon traveling on an area controlled by the road controller system; and determine a change to the speed or platoon size of the vehicle platoon, the change based on the active traffic policy; and a transceiver to transmit a control message to the vehicle platoon to implement the change to the speed or platoon size of the vehicle platoon.

公开(公告)号：US11061650B2

公开(公告)日：2021-07-13

申请号：US16455216

申请日：2019-06-27

Applicant: Intel Corporation

Inventor： Javier Sebastian Turek ,  Javier Felip Leon ,  Luis Carlos Maria Remis ,  David Israel Gonzalez Aguirre ,  Ignacio Javier Alvarez ,  Justin Gottschlich

IPC: G06F8/38 ,  G06F8/10 ,  G06N3/04 ,  G06T7/168 ,  G06F9/451 ,  G06N5/04

Abstract: Methods and apparatus to automatically generate code for graphical user interfaces are disclosed. An example apparatus includes a textual description analyzer to encode a user-provided textual description of a GUI design using a first neural network. The example apparatus further includes a DSL statement generator to generate a DSL statement with a second neural network. The DSL statement is to define a visual element of the GUI design. The DSL statement is generated based on at least one of the encoded textual description or a user-provided image representative of the GUI design. The example apparatus further includes a rendering tool to render a mockup of the GUI design based on the DSL statement.

公开(公告)号：US20210150323A1

公开(公告)日：2021-05-20

申请号：US17133181

申请日：2020-12-23

Applicant: Intel Corporation

Inventor： Javier Sebastian Turek ,  Ignacio J. Alvarez ,  David Israel Gonzalez Aguirre ,  Javier Felip Leon ,  Maria Soledad Elli

IPC: G06N3/063 ,  G06F7/544

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to implement a neural network. An apparatus to implement a neural network, the apparatus comprising memory formed on a substrate, neural network inference logic formed on the same substrate as the memory, the neural network inference logic to load a plurality of neural network parameters in a multiply-accumulate register, and perform a sample-multiply-add operation on the neural network parameter values and input data to generate a neural network inference result, and a memory controller to transfer the neural network inference result to at least one of a host memory external to the substrate or a host processor external to the substrate.

公开(公告)号：US20210001884A1

公开(公告)日：2021-01-07

申请号：US16914298

申请日：2020-06-27

Applicant: Intel Corporation

Inventor： Ignacio J. Alvarez ,  Vy Vo ,  Javier Felip Leon ,  Javier Perez-Ramirez ,  Javier Sebastian Turek ,  Mariano Tepper ,  David Israel Gonzalez Aguirre

IPC: B60W60/00 ,  G06N3/08 ,  G06N5/02 ,  G01C21/34 ,  B60W30/095 ,  B60W40/06 ,  B60W30/09

Abstract: Systems, apparatuses and methods may provide for technology that generates, via a first neural network such as a grid network, a first vector representing a prediction of future behavior of an autonomous vehicle based on a current vehicle position and a vehicle velocity. The technology may also generate, via a second neural network such as an obstacle network, a second vector representing a prediction of future behavior of an external obstacle based on a current obstacle position and an obstacle velocity, and determine, via a third neural network such as a place network, a future trajectory for the vehicle based on the first vector and the second vector, the future trajectory representing a sequence of planned future behaviors for the vehicle. The technology may also issue actuation commands to navigate the autonomous vehicle based on the future trajectory for the vehicle.