Patents by Inventor Maria Soledad Elli

Maria Soledad Elli 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).

  • Publication number: 20240326822
    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: October 31, 2023
    Publication date: October 3, 2024
    Inventors: David Israel GONZALEZ AGUIRRE, Ignacio ALVAREZ, Maria Soledad ELLI, Javier FELIP LEON, Javier TUREK
  • 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: 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
  • 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
  • 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: 11597393
    Abstract: According to various embodiments, a method for operating a vehicle may include determining a vehicular area having traffic conditions or characteristics different from traffic conditions of a current or previous location of the vehicle; obtaining traffic and driving information for the determined vehicular region; changing or updating one or more of driving model parameters of a safety driving model during operation of the vehicle based on the obtained traffic and driving information; and controlling the vehicle to operate in accordance with the safety driving model using the one or more changed or updated driving model parameters. A vehicle may seamlessly update operational rules and/or handover of traffic and driving information for transitioning from one region to another.
    Type: Grant
    Filed: March 26, 2020
    Date of Patent: March 7, 2023
    Assignee: Intel Corporation
    Inventors: Deepak Dasalukunte, Richard Dorrance, Ignacio Alvarez, Maria Soledad Elli, Sridhar Sharma, Satish Jha, Kathiravetpillai Sivanesan, S M Iftekharul Alam
  • Patent number: 11536574
    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: Grant
    Filed: December 27, 2019
    Date of Patent: December 27, 2022
    Assignee: Intel Corporation
    Inventors: Javier Felip Leon, Ignacio J. Alvarez, Maria Soledad Elli, David I. Gonzalez Aguirre, Javier Turek
  • Publication number: 20220388505
    Abstract: Disclosed embodiments include technologies for improving safety mechanisms in computer assisted and/or automated driving (CA/AD) vehicles for protecting vulnerable road users (VRUs). Embodiments include various mechanisms to enable early Responsibility Sensitive Safety (RSS) checks for the CA/AD vehicles driving policy to protect in-danger VRUs. Embodiments also include controlled forwarding mechanisms to notify other CA/AD vehicles and roadside infrastructure when a potentially dangerous situation is detected. Other embodiments are described and/or claimed.
    Type: Application
    Filed: September 25, 2020
    Publication date: December 8, 2022
    Inventors: Vesh Raj SHARMA BANJADE, Kathiravetpillai SIVANESAN, Ignacio J. ALVAREZ, Satish C. JHA, Maria Soledad ELLI, Leonardo GOMES BALTAR, Arvind MERWADAY, S M Iftekharul ALAM, Hao FENG
  • Patent number: 11472414
    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: March 26, 2020
    Date of Patent: October 18, 2022
    Assignee: Intel Corporation
    Inventors: David Israel González Aguirre, Ignacio Alvarez, Maria Soledad Elli, Javier Felip Leon, Javier Turek
  • Patent number: 11423162
    Abstract: A vehicle control system, including an in-vehicle bus and a plurality of electronic control units (ECUs) coupled to the in-vehicle bus, wherein at least one ECU of the plurality of ECUs is configured to: receive, at a respective at least one ECU of the plurality of ECUs, a message in a message stream on the in-vehicle bus; evaluate the message to determine at least one of a confidence value of the security classification, a significance value of the message, or a bounds check value of the message; and determine in real-time to allow or deny the message to the vehicle control system based on at least one of the significance value of the message, the bounds check value of the message, or the confidence value of the security classification of the message, to provide a sanitized message stream to the vehicle control system.
    Type: Grant
    Filed: March 27, 2020
    Date of Patent: August 23, 2022
    Assignee: INTEL CORPORATION
    Inventors: Marcio Juliato, Shabbir Ahmed, Maria Soledad Elli, Christopher Noe Gutierrez, Vuk Lesi, Manoj R. Sastry, John Charles Weast, Liuyang Lily Yang
  • Publication number: 20220242452
    Abstract: System and techniques for vehicle occupant monitoring are described herein. Sensor data, that includes visual image data, is obtained from a sensor array of the vehicle. An object carried by the vehicle is detected from the visual image data. A safety event for the vehicle may be identified based on the object detection and an operational element of the vehicle is altered in response to detecting the safety event.
    Type: Application
    Filed: September 23, 2021
    Publication date: August 4, 2022
    Inventors: Fabian Oboril, Cornelius Buerkle, Frederik Pasch, Bernd Gassmann, Javier Turek, Maria Soledad Elli, Javier Felip Leon, David Gonzalez Aguirre, Ignacio Javier Alvarez Martinez, Julio Fernando Jarquin Arroyo
  • Publication number: 20220114458
    Abstract: A device may include a processor. The processor may receive sensor data representative of an environment of a vehicle. The processor may also generate task data using the sensor data in accordance with a perception task. In addition, the task data may include a plurality of features of the environment. The processor may identify a latent representation of a negative effect of the environment within the sensor data. Further, the processor may estimate an error distribution for the task data based on the identified latent representation, the task data, and the perception task. The processor may generate output data. The output data may include a normalized distribution of the plurality of features based on the estimated error distribution and the task data.
    Type: Application
    Filed: December 22, 2021
    Publication date: April 14, 2022
    Inventors: Maria Soledad ELLI, Javier FELIP LEON, David Israel GONZALEZ AGUIRRE, Javier S. TUREK, Ignacio J. ALVAREZ
  • Patent number: 11214268
    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.
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: January 4, 2022
    Assignee: Intel Corporation
    Inventors: David I. Gonzalez Aguirre, Sridhar G. Sharma, Javier Felip Leon, Javier S. Turek, Maria Soledad Elli
  • Publication number: 20210402898
    Abstract: Devices and methods for a vehicle are provided in this disclosure. A device for controlling an active seat of a vehicle may include a processor and a memory. The memory may be configured to store a transfer function. The processor may be configured to predict an acceleration of the active seat of the vehicle based on a first sensor data and the transfer function. The first sensor data may include information indicating an acceleration of a vibration source for the vehicle. The processor may be further configured to generate a control signal to control a movement of the active seat at a first instance of time based on the predicted acceleration.
    Type: Application
    Filed: September 9, 2021
    Publication date: December 30, 2021
    Inventors: Ignacio J. ALVAREZ, Nese ALYUZ CIVITCI, Maria Soledad ELLI, Javier FELIP LEON, Florian GEISSLER, David Israel GONZALEZ AGUIRRE, Neslihan KOSE CIHANGIR, Michael PAULITSCH, Rafael ROSALES, Javier S. TUREK
  • Publication number: 20210403031
    Abstract: An autonomous vehicle (AV) system may include a memory having computer-readable instructions stored thereon. The AV system may include a processor operatively coupled to the memory and configured to read and execute the computer-readable instructions to perform or control performance of operations. The operations may include receive an instruction text vector representative of a command for an AV provided by a user. The operations may include receive an environment text vector representative of a spatio-temporal feature of an environment of the AV. The operations may include generate a sense set that includes words based on the instruction text vector and the environment text vector. The operations may include compare the words of the sense set to navigational instructions (NIs) within a corpus and identify a NI that corresponds to the words based on the comparison. The operations may also include update a trajectory of the AV based on the NI.
    Type: Application
    Filed: September 10, 2021
    Publication date: December 30, 2021
    Inventors: Ignacio J. ALVAREZ, Javier S. TUREK, Maria Soledad ELLI, Javier FELIP LEON, David Israel GONZALEZ AGUIRRE
  • Patent number: 11192495
    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: Grant
    Filed: December 24, 2019
    Date of Patent: December 7, 2021
    Assignee: Intel Corporation
    Inventors: Maria Soledad Elli, Ignacio J. Alvarez, Javier Felip Leon, David I. Gonzalez Aguirre, Javier Turek
  • Publication number: 20210299866
    Abstract: A robotic manipulation planning system, including 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: process perception data to detect known, familiar, and unknown objects to generate manipulation candidates; filter manipulation candidates against constraints to reduce the manipulation candidates; and determine quality metrics for the reduced manipulation candidates using a soft-body simulation technique.
    Type: Application
    Filed: December 23, 2020
    Publication date: September 30, 2021
    Inventors: Javier Felip Leon, Ignacio Alvarez, Maria Soledad Elli, David Gonzalez-Aguirre, Javier Turek
  • Publication number: 20210300418
    Abstract: A system of a collaborative Autonomous Vehicle (AV) Safety Driving Model (SDM) system, including 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: generate, in response to a condition being satisfied, an SDM message including encoded data representing a warning or a safety parameter; and cause a transceiver to transmit the generated SDM message.
    Type: Application
    Filed: December 23, 2020
    Publication date: September 30, 2021
    Inventors: Ignacio Alvarez, Cornelius Buerkle, Maria Soledad Elli, Bernd Gassmann, Leonardo Gomes Baltar, David Gonzalez Aguirre, Satish Jha, Arvind Merwaday, Fabian Oboril, Vesh Raj Sharma Banjade, Kathiravetpillai Sivanesan
  • Patent number: 11093530
    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.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: August 17, 2021
    Assignee: Intel Corporation
    Inventors: David Israel Gonzalez Aguirre, Javier Felip Leon, Maria Soledad Elli, Luis Carlos Maria Remis, Javier Sebastian Turek
  • Patent number: 11037312
    Abstract: Technologies for thermal enhanced semantic segmentation include a computing device having a visible light camera and an infrared camera. The computing device receives a visible light image of a scene from the visible light camera and an infrared image of the scene from the infrared camera. The computing device registers the infrared image to the visible light image to generate a registered image. Registering the infrared image may include increasing resolution of the infrared image. The computing device generates a thermal boundary saliency image based on the registered infrared image. The computing device may generate the thermal boundary saliency image by applying a Gabor jet convolution to the registered infrared image. The computing device performs semantic segmentation on the visible light image, the registered infrared image, and the thermal boundary saliency image to generate a pixelwise semantic classification of the scene. Other embodiments are described and claimed.
    Type: Grant
    Filed: June 29, 2019
    Date of Patent: June 15, 2021
    Assignee: Intel Corporation
    Inventors: David Israel Gonzalez Aguirre, Javier Felip Leon, Maria Soledad Elli