Patents by Inventor Ignacio J. Alvarez

Ignacio J. Alvarez has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10936903
    Abstract: Techniques are disclosed herein for collecting annotation data via a gamified user interface in a vehicle control system. According to an embodiment disclosed herein, the vehicle control system detects a trigger to initiate an annotation prompt associated with an object classified from an image. The vehicle control system presents, via a user interface, the annotation prompt. The vehicle control system receives, via the user interface, user input indicative of a response to the annotation prompt by a user and updates a confidence score associated with the classified object as a function of one or more metrics associated with the user.
    Type: Grant
    Filed: March 30, 2019
    Date of Patent: March 2, 2021
    Assignee: Intel Corporation
    Inventors: Domingo Gonzalez, Ignacio J. Alvarez, Mehrnaz Khodam Hazrati, Christopher Lopez-Araiza
  • Publication number: 20210034065
    Abstract: A component of an Autonomous Vehicle (AV) system, the component having at least one processor; and a non-transitory computer-readable storage medium including instructions that, when executed by the at least one processor, cause the at least one processor to decode data encoded in a signal, wherein the data identifies a pattern of protrusions embedded in a driving surface, the signal being received from at least one vehicle sensor resulting from a vehicle driving over the pattern of protrusions in the driving surface.
    Type: Application
    Filed: March 27, 2020
    Publication date: February 4, 2021
    Inventors: Jose Camacho Perez, Ignacio J. Alvarez, Hector Cordourier Maruri, Paulo Lopez Meyer, Francisco Rangel Patino, Edgar Andrei Vega, Andres Viveros Wacher, Julio Zamora Esquivel
  • Publication number: 20210001884
    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.
    Type: Application
    Filed: June 27, 2020
    Publication date: January 7, 2021
    Inventors: Ignacio J. Alvarez, Vy Vo, Javier Felip Leon, Javier Perez-Ramirez, Javier Sebastian Turek, Mariano Tepper, David Israel Gonzalez Aguirre
  • Publication number: 20200326667
    Abstract: Techniques are disclosed for using neural network architectures to estimate predictive uncertainty measures, which quantify how much trust should be placed in the deep neural network (DNN) results. The techniques include measuring reliable uncertainty scores for a neural network, which are widely used in perception and decision-making tasks in automated driving. The uncertainty measurements are made with respect to both model uncertainty and data uncertainty, and may implement Bayesian neural networks or other types of neural networks.
    Type: Application
    Filed: June 24, 2020
    Publication date: October 15, 2020
    Inventors: Nilesh Ahuja, Ignacio J. Alvarez, Ranganath Krishnan, Ibrahima J. Ndiour, Mahesh Subedar, Omesh Tickoo
  • Publication number: 20200324409
    Abstract: Systems, apparatuses and methods may provide for controlling one or more end effectors by generating a semantic labelled image based on image data, wherein the semantic labelled image is to identify a shape of an object and a semantic label of the object, associating a first set of actions with the object, and generating a plan based on an intersection of the first set of actions and a second set of actions to satisfy a command from a user through actuation of one or more end effectors, wherein the second set of actions are to be associated with the command.
    Type: Application
    Filed: June 26, 2020
    Publication date: October 15, 2020
    Inventors: David Israel Gonzalez Aguirre, Javier Felip Leon, Javier Sebastian Turek, Javier Perez-Ramirez, Ignacio J. Alvarez
  • Publication number: 20200327415
    Abstract: Systems, apparatuses and methods may provide for technology that identifies a cognitive space that is to be a compressed representation of activations of a neural network, maps a plurality of activations of the neural network to a cognitive initial point and a cognitive destination point in the cognitive space and generates a first cognitive trajectory through the cognitive space, wherein the first cognitive trajectory traverses the cognitive space from the cognitive initial point to the cognitive destination point
    Type: Application
    Filed: June 26, 2020
    Publication date: October 15, 2020
    Inventors: Javier Felip Leon, Javier Sebastian Turek, David Israel Gonzalez Aguirre, Ignacio J. Alvarez, Javier Perez -Ramirez, Mariano Tepper
  • Patent number: 10803676
    Abstract: According to various embodiments, devices, methods, and computer-readable media for reconstructing a 3D scene are described. A server device, sensor devices, and client devices may interoperate to reconstruct a 3D scene sensed by the sensor devices. The server device may generate one or more models for objects in the scene, including the identification of dynamic and/or static objects. The sensor devices may, provide model data updates based on these generated models, such that only delta changes in the scene may be provided, in addition to raw sensor data. Models may utilize semantic knowledge, such as knowledge of the venue or identity of one or more persons in the scene, to further facilitate model generation and updating. Other embodiments may be described and/or claimed.
    Type: Grant
    Filed: February 25, 2019
    Date of Patent: October 13, 2020
    Assignee: Intel Corporation
    Inventors: Ignacio J. Alvarez, Ranganath Krishnan
  • Patent number: 10769849
    Abstract: Techniques for three-dimensional (3D) reconstruction of a dynamic scene as a set of voxels are provided. One technique includes: receiving, by a processor, image data from each of two or more spatially-separated sensors observing the scene from a corresponding two or more vantage points; fusing, by the processor, the image data into the set of voxels on a frame-by-frame basis; segmenting, by the processor, the image data into objects that constitute the scene; detecting, by the processor, which of the objects remain static from frame to frame, remaining ones of the objects being dynamic; filtering, by the processor, the set of voxels to remove those of the voxels corresponding to the static objects, to produce a dynamic subset of the voxels; and outputting, by the processor to a display device, those of the voxels corresponding to the dynamic objects (such as the dynamic subset) and not to the static objects.
    Type: Grant
    Filed: November 4, 2016
    Date of Patent: September 8, 2020
    Assignee: INTEL CORPORATION
    Inventors: Sridhar Uyyala, Bradley A. Jackson, Ignacio J. Alvarez, Deepak S. Vembar
  • Publication number: 20200278665
    Abstract: An apparatus for autonomous vehicles includes a perception pipeline having independent classification processes operating in parallel to respectively identify objects belonging to a specific object type based on sensor data flows from multiple ones of a plurality of different types of sensors. The apparatus also includes a sensor monitoring stage to operate in parallel with the perception pipeline and to use the sensor data flows to estimate and track a confidence level of each of the plurality of different types of sensors, and nullify a deficient sensor when the confidence level associated with the deficient sensor fails to meet a confidence threshold.
    Type: Application
    Filed: September 28, 2017
    Publication date: September 3, 2020
    Inventors: David ARDITTI ILITZKY, Ignacio J. ALVAREZ, Julio C. ZAMORA ESQUIVEL, Paulo LOPEZ MEYER
  • Publication number: 20200226856
    Abstract: Techniques are disclosed to use existing vehicle speakers alone or in conjunction with other sensors (e.g. SRS sensors and/or microphones) that may already be implemented as part of the vehicle to identify acoustic signatures. Suitable low-cost and widely available hardware components (e.g., relays) may be used to modify the vehicle's existing speakers for a bi-directional mode of operation. Moreover, the vehicle's existing of audio amplifiers may be used to amplify signals collected by the speakers when operating in “reverse,” and process these collected signals to determine vehicle state information.
    Type: Application
    Filed: March 26, 2020
    Publication date: July 16, 2020
    Inventors: Julio Zamora Esquivel, Ignacio J. Alvarez, Hector Cordourier Maruri, Jesus Cruz Vargas, David I. Gonzalez Aguirre, Alejandro Ibarra von borstel, Paulo Lopez Meyer, Jose Camacho Perez
  • Publication number: 20200225683
    Abstract: In an automated vehicle (AV) system, interdependencies between components of the AV are determined, an operational domain state of one or more of the components can be determined based on the determined interdependencies, and an output signal representing the operational domain state of the one or more components can be generated. A user interface can present a notification based on the output signal to notify the driver and/or other occupants of the AV of the operational domain state of one or more of the components.
    Type: Application
    Filed: March 27, 2020
    Publication date: July 16, 2020
    Inventors: Ignacio J. Alvarez, Yang Liu, Fabricio Novak
  • Publication number: 20200156663
    Abstract: Apparatus, method and computer readable medium associated with autonomous/semi-autonomous driving (AD/Semi-AD) are disclosed herein. In embodiments, an apparatus may comprise an accessibility engine disposed in an AD/semi-AD vehicle to control accessibility elements of the vehicle. The accessibility engine may be configured to receive sensor data from a plurality of sensors disposed in the vehicle, and determine a specific spot for the vehicle to stop at a destination for a passenger or driver to ingress or egress the vehicle, based at least in part on the sensor data and a model of the vehicle that includes information about accessibility elements of the vehicle, including determination of accessibility needs of the passenger or driver based at least in part on at least some of the sensor data. Other embodiments may be disclosed or claimed.
    Type: Application
    Filed: June 30, 2017
    Publication date: May 21, 2020
    Inventors: Ignacio J. ALVAREZ, Joshua EKANDEM
  • Publication number: 20200149898
    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.
    Type: Application
    Filed: December 27, 2019
    Publication date: May 14, 2020
    Inventors: Javier Felip Leon, Ignacio J. Alvarez, Maria Soledad Elli, David I. Gonzalez Aguirre, Javier Turek
  • Publication number: 20200130711
    Abstract: An Autonomous Vehicle (AV) system, including: a tracking subsystem configured to detect and track relative positioning of another vehicle that is behind or lateral to an AV configured to comply with a safety driving model, and to check a safety driving model compliance status of the other vehicle; and a risk reduction subsystem configured to plan, based on the safety driving model compliance status of the other vehicle, an AV action, wherein if the safety driving model compliance status of the other vehicle is unknown or is known to be non-compliant, the AV action is administration of a safety driving model compliance test to the other vehicle, or is a maneuver by the AV to reduce risk of collision with a leading vehicle positioned in front of the AV.
    Type: Application
    Filed: December 28, 2019
    Publication date: April 30, 2020
    Inventors: Javier Turek, Ignacio J. Alvarez, Maria Soledad Elli, Javier Felip Leon, David I. Gonzalez Aguirre
  • Publication number: 20200130570
    Abstract: Techniques are disclosed to realize a self-adaptive multiresolution digital plate (SAMDP) system that facilitates sharing of vehicle state information via a dynamically generated binary two-dimensional multispectral pattern. The binary 2D multispectral pattern adjusts its resolution to adapt to the visual perception process while communicating vehicle state information without relying on wireless communications (i.e. V2V, V2X, etc.). The techniques as described herein leverage the use of a multichannel spectral means that helps lower the error present in sensing and representation models used by automated driving systems.
    Type: Application
    Filed: December 24, 2019
    Publication date: April 30, 2020
    Inventors: Maria Soledad Elli, Ignacio J. Alvarez, Javier Felip Leon, David I. Gonzalez Aguirre, Javier Turek
  • Patent number: 10580143
    Abstract: Techniques for high-fidelity three-dimensional (3D) reconstruction of a dynamic scene as a set of voxels are provided. One technique includes: receiving, by a processor, image data from each of two or more spatially-separated sensors observing the scene from a corresponding two or more vantage points; generating, by the processor, the set of voxels from the image data on a frame-by-frame basis; reconstructing, by the processor, surfaces from the set of voxels to generate low-fidelity mesh data; identifying, by the processor, performers in the scene from the image data; obtaining, by the processor, high-fidelity mesh data corresponding to the identified performers; and merging, by the processor, the low-fidelity mesh data with the high-fidelity mesh data to generate high-fidelity 3D output. The identifying of the performers includes: segmenting, by the processor, the image data into objects; and classifying, by the processor, those of the objects representing the performers.
    Type: Grant
    Filed: November 4, 2016
    Date of Patent: March 3, 2020
    Assignee: INTEL Corporation
    Inventors: Sridhar Uyyala, Ignacio J. Alvarez, Bradley A. Jackson, Deepak S. Vembar
  • Publication number: 20200026289
    Abstract: Sensor data is accessed, which was generated sensors of a device in an environment. An observation of an event is determined, from the sensor data, that identifies movement of one or more machines within the environment in association with the event, where at least one of the machines is configured to move autonomously. Observation data is generated to describe the observation. The observation data is caused to be stored in a distributed linked data structure.
    Type: Application
    Filed: September 28, 2019
    Publication date: January 23, 2020
    Inventors: Ignacio J. Alvarez, Rafael Misoczki, Andrea Miele
  • Patent number: 10455222
    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.
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: October 22, 2019
    Assignee: Intel Corporation
    Inventors: Javier Felip Leon, David I. Gonzalez Aguirre, Ignacio J. Alvarez
  • Publication number: 20190259221
    Abstract: According to various embodiments, devices, methods, and computer-readable media for reconstructing a 3D scene are described. A server device, sensor devices, and client devices may interoperate to reconstruct a 3D scene sensed by the sensor devices. The server device may generate one or more models for objects in the scene, including the identification of dynamic and/or static objects. The sensor devices may, provide model data updates based on these generated models, such that only delta changes in the scene may be provided, in addition to raw sensor data. Models may utilize semantic knowledge, such as knowledge of the venue or identity of one or more persons in the scene, to further facilitate model generation and updating. Other embodiments may be described and/or claimed.
    Type: Application
    Filed: February 25, 2019
    Publication date: August 22, 2019
    Inventors: Ignacio J. Alvarez, Ranganath Krishnan
  • Publication number: 20190226868
    Abstract: Technologies for intelligent traffic optimization include a directional flow server that receives dynamic traffic data from traffic infrastructure devices in a monitored region. The traffic data may include traffic volume data and traffic control status data. The server updates a dynamic layer of a high-definition map based on the dynamic traffic data. The high-definition map also includes a static layer and a directional flow layer. The server optimizes the directional flow in response to updating the dynamic layer. The directional flow layer is indicative of traffic direction associated with roads in the monitored region. The server may optimize each of several sub-regions and then optimize connection roads between the regions. The server may distribute the optimized directional flow layer to consumers such as traffic control devices, autonomous vehicles, and other subscribing devices. Other embodiments are described and claimed.
    Type: Application
    Filed: March 30, 2019
    Publication date: July 25, 2019
    Inventors: Mehrnaz Khodam Hazrati, Ignacio J. Alvarez, Domingo C. Gonzalez, Christopher Lopez-Araiza