公开(公告)号：US20210157968A1

公开(公告)日：2021-05-27

申请号：US17107444

申请日：2020-11-30

Applicant: Intel Corporation

Inventor： Javier Sebastián Turek ,  Javier Felip Leon ,  Alexander Heinecke ,  Evangelos Georganas ,  Luis Carlos Maria Remis ,  Ignacio Javier Alvarez ,  David Israel Gonzalez Aguirre ,  Shengtian Zhou ,  Justin Gottschlich

IPC: G06F30/398 ,  G06N3/04 ,  G06N3/08

Abstract: Systems and methods for determining a configuration for a microarchitecture are described herein. An example system includes a proposal generator to generate a first candidate configuration of parameters for the microarchitecture, a machine learning model to process the first candidate configuration of parameters to output estimated performance indicators for the microarchitecture, an uncertainty checker to determine whether the estimated performance indicators are reliable, and a performance checker. In response to a determination that the estimated performance indicators are reliable, the performance checker is to determine whether the estimated performance indicators have improved toward a target. Further, if the estimated performance indicators have improved, the performance checker is to store the first candidate configuration of parameters in a memory as a potential solution for a microarchitecture without performing a full simulation on the first candidate configuration of parameters.

公开(公告)号：US10990570B2

公开(公告)日：2021-04-27

申请号：US16326878

申请日：2016-12-22

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：US20200223443A1

公开(公告)日：2020-07-16

申请号：US16830413

申请日：2020-03-26

Applicant: Intel Corporation

Inventor： David Gonzalez Aguirre ,  Ignacio Alvarez ,  Maria Soledad Elli ,  Javier Felip Leon ,  Javier Turek

IPC: B60W40/068 ,  B60W50/00 ,  B60W40/10

Abstract: A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

公开(公告)号：US20200149898A1

公开(公告)日：2020-05-14

申请号：US16728849

申请日：2019-12-27

Applicant: Intel Corporation

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

IPC: G01C21/32 ,  G01C21/16 ,  G05D1/02 ,  G05D1/00

Abstract: In an autonomous vehicle system, data received from one or more autonomous vehicles (AVs) can be aggregated to generate aggregated data. From this aggregated data, a vector-field map can be generated that includes a plurality of cells. Each of the cells can include a corresponding vector. The vector field map can be analyzed to identify one or more vectors of the plurality of cells that exceed one or more predetermined threshold values. The analysis can include a magnitude analysis and/or a frequency analysis. Based on the analysis, traffic and/or road conditions can be determined, which can provide prior knowledge about the driving behavior of other vehicles. Advantageously, aspects of the disclosure improve predictive motion models and enhance navigation algorithms.

公开(公告)号：US20190324977A1

公开(公告)日：2019-10-24

申请号：US16457167

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： David Israel Gonzalez Aguirre ,  Javier Felip Leon ,  Maria Soledad Elli ,  Luis Carlos Maria Remis ,  Javier Sebastian Turek

IPC: G06F16/29 ,  G06F16/21 ,  G06F16/22

Abstract: Technologies for management of data layers in a heterogeneous geographic information system (GIS) map are disclosed. A compute device may maintain a GIS database that includes geo-quads that represent physical locations of various scales. Data layers and layer tracks may be dynamically added to the GIS database at different scales, allowing for an extensible framework that enables a mechanism for integrating additional functionality. In the illustrative embodiment, a graph database is used to store the GIS database, allowing for a flexible structure. In some embodiments, entries in layer tracks may include binary large objects that may have properties and associated methods, allowing for application-specific functionality.

公开(公告)号：US10455222B2

公开(公告)日：2019-10-22

申请号：US15473930

申请日：2017-03-30

Applicant: Intel Corporation

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

IPC: G06T17/00 ,  H04N13/296 ,  G01L5/00 ,  B25J13/08 ,  H04N13/106 ,  H04N13/207 ,  G01G19/52 ,  G01B11/24 ,  B25J9/00 ,  B25J9/04 ,  B25J15/10 ,  B25J19/02 ,  H04N13/271

Abstract: An autonomous object modeler includes a modeling table, a controllable arm, a depth camera attached to the controllable arm, and a controller to control operation of the modeling table, the controllable arm, and the depth camera. The modeling table may be movable and includes a mass sensor to produce mass sensor data indicative of a mass of an object positioned on the modeling table. The controllable arm includes a force-torque sensor to produce force-torque sensor data indicative of an inertia of the object while the object is moved by the controllable arm. The controller is configured to control operation of the controllable arm to reposition the object on the modeling table to generate three-dimensional models of the object. The three-dimensional models include the mass data and the inertia data.