Patents by Inventor Javier Felip Leon

Javier Felip Leon 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: 12008456
    Abstract: Methods, apparatus, systems and articles of manufacture for providing query selection systems are disclosed. An example query selection system includes a processor to: analyze a graph database; identify respective ones of objects associated with the graph database; obtain properties associated with the objects; identify common properties present in the respective ones of the objects; in response to determining the common properties present in the identified objects, output a list of the common properties corresponding to the respective ones of the objects; generate a table for the common properties and the respective ones of the objects; and populate the table with the common properties and the respective ones of the objects from the graph database to establish a relational database. The system further includes a machine learning model classifier to enable relational database query searching via the relational database.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: June 11, 2024
    Assignee: INTEL CORPORATION
    Inventors: Luis Carlos Maria Remis, Justin Gottschlich, Javier Sebastian Turek, Ignacio Javier Alvarez, David Israel Gonzalez Aguirre, Javier Felip Leon
  • Patent number: 11999364
    Abstract: A vehicle control system (VCS) for a vehicle may include an in-vehicle bus and an intrusion detection system (IDS). The IDS may: calculate a planned output of the vehicle based on a message of a message stream received from at least one electronic control unit (ECU) coupled to the in-vehicle bus, calculate a reachable set based on an uncertainty metric, and identify an intrusion of the VCS based on a comparison of the planned output and the reachable set.
    Type: Grant
    Filed: December 23, 2020
    Date of Patent: June 4, 2024
    Assignee: Intel Corporation
    Inventors: Ignacio J. Alvarez, Maria Soledad Elli, Javier Felip Leon, Javier Sebastian Turek, David Israel Gonzalez Aguirre
  • Patent number: 11994615
    Abstract: Apparatuses, methods and storage medium associated with compensating for a sensor deficiency in a heterogeneous sensor array are disclosed herein. In embodiments, an apparatus may include a compute device to aggregate perception data from individual perception pipelines, each of which is associated with respective one of different types of sensors of a heterogeneous sensor set, to identify a characteristic associated with a space to be monitored by the heterogeneous sensor set; detect a sensor deficiency associated with a first sensor of the sensors; and in response to a detection of the sensor deficiency, derive next perception data for more than one of the individual perception pipelines from sensor data originating from at least one second sensor of the sensors. Other embodiments may be disclosed or claimed.
    Type: Grant
    Filed: August 22, 2022
    Date of Patent: May 28, 2024
    Assignee: Intel Corporation
    Inventors: Ignacio Alvarez, David Arditti Ilitzky, Patrick Andrew Mead, Javier Felip Leon, David Gonzalez Aguirre
  • Publication number: 20240131704
    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: December 15, 2023
    Publication date: April 25, 2024
    Inventors: David Israel Gonzalez Aguirre, Javier Felip Leon, Javier Sebastian Turek, Javier Perez-Ramirez, Ignacio J. Alvarez
  • Publication number: 20240112369
    Abstract: Various aspects of techniques, systems, and use cases include provide instructions for calibrating or object identification in a human-robot interactive environment. A technique may include displaying a back illumination image having at least two distinct sections, capturing a scene including the first back illumination image and an object obstructing a portion of one of the at least two distinct sections of the first back illumination image, and identifying, using an orientation of the display screen relative to the camera (e.g., obtained via calibration), location information of the object relative to a robotic device based on the first scene. The technique may include outputting the location information.
    Type: Application
    Filed: September 30, 2022
    Publication date: April 4, 2024
    Inventors: David Gonzalez Aguirre, Javier Felip Leon, Javier Felix Rendon, Arturo Tellez Velazquez
  • Patent number: 11921473
    Abstract: Apparatus, systems, articles of manufacture, and methods to generate acceptability criteria for autonomous systems plans are disclosed. An example apparatus includes a data compiler to compile data generated by the autonomous system into an autonomous system task dataset, a data encoder to encode the dataset for input into a rule distillation neural network architecture, a model trainer to train the rule distillation neural network architecture, an adaptor to adapt the trained rule distillation neural network architecture to a new input data domain using the autonomous system task dataset, a verifier to generate formally verified acceptability criteria, and an inferer to evaluate a control command, the evaluation resulting in an acceptance or rejection of the command.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: March 5, 2024
    Assignee: INTEL CORPORATION
    Inventors: Javier Felip Leon, Javier Sebastian Turek, David I. Gonzalez Aguirre, Ignacio Javier Alvarez, Luis Carlos Maria Remis, Justin Gottschlich
  • Publication number: 20240025042
    Abstract: A component of a robotic system, including: processor circuitry; and a non-transitory computer-readable storage medium including instructions that, when executed by the processor circuitry, cause the processor circuitry to: train a neuro-capability map plugin, which is a continuous or semi-continuous resolution neural network component encoded with kinematic capability attributes with respect to an action to be performed by a robot in a workspace; and publish the neuro-capability map plugin to a robotic skills repository where it is obtainable by robotic controller circuitry for embedding within a neural network usable perform one or more inferences to control the robot to perform the action.
    Type: Application
    Filed: September 29, 2023
    Publication date: January 25, 2024
    Inventors: David Gonzalez Aguirre, Leobardo Campos Macias, Rafael De La Guardia Gonzalez, Javier Felip Leon, David Gomez Gutierrez, Edgar Macias Garcia, Javier Turek, Julio Zamora Esquivel
  • Patent number: 11878419
    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: Grant
    Filed: June 26, 2020
    Date of Patent: January 23, 2024
    Assignee: Intel Corporation
    Inventors: David Israel Gonzalez Aguirre, Javier Felip Leon, Javier Sebastian Turek, Javier Perez-Ramirez, Ignacio J. Alvarez
  • Patent number: 11861494
    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: Grant
    Filed: June 26, 2020
    Date of Patent: January 2, 2024
    Assignee: Intel Corporation
    Inventors: Javier Felip Leon, Javier Sebastian Turek, David Israel Gonzalez Aguirre, Ignacio J. Alvarez, Javier Perez-Ramirez, Mariano Tepper
  • Patent number: 11860846
    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.
    Type: Grant
    Filed: April 13, 2021
    Date of Patent: January 2, 2024
    Assignee: Intel Corporation
    Inventors: David I. Gonzalez Aguirre, Ignacio J. Alvarez, Javier Felip Leon
  • Patent number: 11814052
    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.
    Type: Grant
    Filed: September 9, 2022
    Date of Patent: November 14, 2023
    Assignee: Mobileye Vision Technologies Ltd.
    Inventors: David Israel Gonzalez Aguirre, Ignacio Alvarez, Maria Soledad Elli, Javier Felip Leon, Javier Turek
  • Publication number: 20230259665
    Abstract: A system can map occupancy of objects. The system may generate an occupancy representation of an object based on a point cloud of the object. The system may generate first geometric entities based on the point cloud. Each first geometric entity contains one or more points in the point cloud. The system may also generate one or more second geometric entities, each of which contains one or more first geometric entities. The occupancy representation of the object includes the one or more second geometric entities and the plurality of first geometric entities. The occupancy representation may have a hierarchical structure where the first geometric entities may be on a lower level than the one or more second geometric entities. The system can also detect collision of the object with another object by using the occupancy representation of the object and an occupancy representation of the other object.
    Type: Application
    Filed: April 20, 2023
    Publication date: August 17, 2023
    Applicant: Intel Corporation
    Inventors: Leobardo Campos Macias, Rafael De La Guardia Gonzalez, David Gonzalez Aguirre, Javier Felip Leon, Julio Cesar Zamora Esquivel
  • Patent number: 11727265
    Abstract: Methods, apparatus, systems and articles of manufacture to provide machine programmed creative support to a user are disclosed. An example apparatus include an artificial intelligence architecture to be trained based on previous inputs of the user; a processor to: implement a first machine learning model based on the trained artificial intelligence architecture; and predict a first action based on a current state of a computer program using the first machine learning model; implement a second machine learning model based on the trained artificial intelligence architecture; and predict a second action based on the current state of the computer program using the second machine learning model; and a controller to select a state based on the action that results in a state that is more divergent from the current state of the computer program.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: August 15, 2023
    Assignee: Intel Corporation
    Inventors: Ignacio Javier Alvarez, Javier Felip Leon, David Israel Gonzalez Aguirre, Javier Sebastian Turek, Luis Carlos Maria Remis, Justin Gottschlich
  • Patent number: 11713056
    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: Grant
    Filed: December 28, 2019
    Date of Patent: August 1, 2023
    Assignees: Intel Corporation, Mobileye Vision Technologies
    Inventors: Javier Turek, Ignacio J. Alvarez, Maria Soledad Elli, Javier Felip Leon, David I. Gonzalez Aguirre
  • Patent number: 11702105
    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: Grant
    Filed: June 27, 2020
    Date of Patent: July 18, 2023
    Assignee: Intel Corporation
    Inventors: Ignacio J. Alvarez, Vy Vo, Javier Felip Leon, Javier Perez-Ramirez, Javier Sebastian Turek, Mariano Tepper, David Israel Gonzalez Aguirre
  • Publication number: 20230224237
    Abstract: Systems, apparatuses and methods may provide for technology that adjusts, via a short-term subsystem, a communications parameter for one or more of wireless communication devices based on data from one or more of a plurality of sensors. The technology may also determine, via a neural network, a prediction of future performance of the wireless network based on a state of the network environment, wherein the state of the network environment includes information from the short-term subsystem and location information about the wireless communication devices and other objects in the environment, and determine a change in network configuration to improve a quality of communications in the wireless network based on the prediction of future performance of the wireless network. The technology may further generate generic path loss models based on time-stamped RSSI maps and record a sequence of events that cause a significant drop in RSSI to determine a change in network configuration.
    Type: Application
    Filed: December 28, 2022
    Publication date: July 13, 2023
    Inventors: Javier Perez-Ramirez, Javier Turek, David Gonzalez Aguirre, Javier Felip Leon, Ignacio Alvarez
  • Publication number: 20230123665
    Abstract: Apparatuses, methods and storage medium associated with compensating for a sensor deficiency in a heterogeneous sensor array are disclosed herein. In embodiments, an apparatus may include a compute device to aggregate perception data from individual perception pipelines, each of which is associated with respective one of different types of sensors of a heterogeneous sensor set, to identify a characteristic associated with a space to be monitored by the heterogeneous sensor set; detect a sensor deficiency associated with a first sensor of the sensors; and in response to a detection of the sensor deficiency, derive next perception data for more than one of the individual perception pipelines from sensor data originating from at least one second sensor of the sensors. Other embodiments may be disclosed or claimed.
    Type: Application
    Filed: August 22, 2022
    Publication date: April 20, 2023
    Inventors: Ignacio ALVAREZ, David ARDITTI ILITZKY, Patrick Andrew MEAD, Javier FELIP LEON, David GONZALEZ AGUIRRE
  • Patent number: 11620900
    Abstract: Systems, apparatuses and methods may provide for origination camera technology that generates a cell representation of a local space associated with an origination camera in a multicast domain, predicts that an object in the local space will exit the local space and enter one or more adjacent spaces associated with additional cameras in the multicast domain, and sends the cell representation and a trajectory of the object to the additional cameras before the object exits the local space. Additionally, transition camera technology may generate a leader election message based on a multicasted trajectory of an object and a predicted trajectory of the object, send the leader election message from a transition camera to one or more additional cameras in a multicast domain, and track the object in the local space in response to a leader notification message.
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: April 4, 2023
    Assignee: Intel Corporation
    Inventors: Dario Oliver, Mateo Guzman, Mariano Tepper, Marcos Carranza, Javier Turek, Cesar Martinez-Spessot, Rita Wouhaybi, Javier Felip Leon
  • Publication number: 20230077618
    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.
    Type: Application
    Filed: September 9, 2022
    Publication date: March 16, 2023
    Inventors: David Israel GONZALEZ AGUIRRE, Ignacio ALVAREZ, Maria Soledad ELLI, Javier FELIP LEON, Javier TUREK
  • Patent number: 11586854
    Abstract: Vehicle navigation control systems in autonomous driving rely on accurate predictions of objects within the vicinity of the vehicle to appropriately control the vehicle safely through its surrounding environment. Accordingly this disclosure provides methods and devices which implement mechanisms for obtaining contextual variables of the vehicle's environment for use in determining the accuracy of predictions of objects within the vehicle's environment.
    Type: Grant
    Filed: March 26, 2020
    Date of Patent: February 21, 2023
    Assignee: Intel Corporation
    Inventors: Nilesh Ahuja, Ibrahima Ndiour, Javier Felip Leon, David Gomez Gutierrez, Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo