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: 11507084
    Abstract: Disclosures herein may be directed to a method, technique, or apparatus directed to a computer-assisted or autonomous driving (CA/AD) vehicle that includes a system controller, disposed in a first CA/AD vehicle, to manage a collaborative three-dimensional (3-D) map of an environment around the first CA/AD vehicle, wherein the system controller is to receive, from another CA/AD vehicle proximate to the first CA/AD vehicle, an indication of at least a portion of another 3-D map of another environment around both the first CA/AD vehicle and the another CA/AD vehicle and incorporate the at least the portion of the 3-D map proximate to the first CA/AD vehicle and the another CA/AD vehicle into the 3-D map of the environment of the first CA/AD vehicle managed by the system controller.
    Type: Grant
    Filed: March 27, 2019
    Date of Patent: November 22, 2022
    Assignee: Intel Corporation
    Inventors: Sridhar G. Sharma, S M Iftekharul Alam, Nilesh Ahuja, Avinash Kumar, Jason Martin, Ignacio J. Alvarez
  • Publication number: 20220365540
    Abstract: A controller for an autonomous vehicle may include: one or more processors configured to: determine a maneuver planned for the vehicle based on a safety driving model and based on a first message from a network component external to the vehicle, the first message including a respective assessment for each proposed maneuver of at least two maneuvers proposed for the vehicle, and provide an in-vehicle instruction to perform the maneuver planned for the vehicle.
    Type: Application
    Filed: July 14, 2022
    Publication date: November 17, 2022
    Inventors: Rafael ROSALES, Florian GEISSLER, Ignacio J. ALVAREZ, Neslihan KOSE CIHANGIR
  • Patent number: 11501584
    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: Grant
    Filed: March 26, 2020
    Date of Patent: November 15, 2022
    Assignee: Intel Corporation
    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 Rodrigo Camacho Perez
  • Publication number: 20220343762
    Abstract: One or more processors may be configured to determine one or more prospective routes of an ego vehicle being at least partially controlled by a human driver; receive first sensor data, representing one or more attributes of a second vehicle; determine a danger probability of the one or more prospective routes of the first vehicle using the at least the one or more attributes of the second vehicle from the first sensor data; and if each of the one or more prospective routes of the first vehicle has a danger probability outside of a predetermined range, send a signal representing a safety intervention. Whenever a safety intervention signal is sent, the one or more processors may be configured to increment or decrement a counter.
    Type: Application
    Filed: December 27, 2019
    Publication date: October 27, 2022
    Inventors: Ignacio J. ALVAREZ, Cornelius BUERKLE, Haitao JI, Fei LI, Fabian OBORIL, Johannes QUAST, Kay-Ulrich SCHOLL, John Charles WEAST, Xiangbin WU, Xinxin ZHANG, Zhiyuan ZHANG, Qianying ZHU
  • Publication number: 20220343171
    Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that calibrate error aligned uncertainty for regression and continuous structured prediction tasks/optimizations. An example apparatus includes a prediction model, at least one memory, instructions, and processor circuitry to at least one of execute or instantiate the instructions to calculate a count of samples corresponding to an accuracy-certainty classification category, calculate a trainable uncertainty calibration loss value based on the calculated count, calculate a final differentiable loss value based on the trainable uncertainty calibration loss value, and calibrate the prediction model with the final differentiable loss value.
    Type: Application
    Filed: June 30, 2022
    Publication date: October 27, 2022
    Inventors: Neslihan Kose Cihangir, Omesh Tickoo, Ranganath Krishnan, Ignacio J. Alvarez, Michael Paulitsch, Akash Dhamasia
  • Publication number: 20220333944
    Abstract: Provided is a device and a method for route planning. The route planning device (100) may include a data interface (128) coupled to a road and traffic data source (160); a user interface (170) configured to display a map and receive a route planning request from a user, the route planning request including a line of interest on the map; a processor (110) coupled to the data interface (128) and the user interface (170). The processor (110) may be configured to identify the line of interest in response to the route planning request; acquire, via the data interface (128), road and traffic information associated with the line of interest from the road and traffic data source (160); and calculate, based on the acquired road and traffic information, a navigation route that matches or corresponds to the line of interest and meets or satisfies predefined road and traffic constraints.
    Type: Application
    Filed: December 27, 2019
    Publication date: October 20, 2022
    Inventors: Yuqing HOU, Xiaolong LIU, Ignacio J. ALVAREZ, Xiangbin WU
  • Publication number: 20220324467
    Abstract: A safety system (200) for a vehicle (100) is provided. The safety system (200) may include one or more processors (102). The one or more processors (102) may be configured to control a vehicle (100) to operate in accordance with the predefined stored driving model parameters, to detect vehicle operation data during the operation of the vehicle (100), to determine whether to change predefined driving model parameters based on the detected vehicle operation data and the driving model parameters, to change the driving model parameters to changed driving model parameters, and to control the vehicle (100) to operate in accordance with the changed driving model parameters.
    Type: Application
    Filed: December 27, 2019
    Publication date: October 13, 2022
    Inventors: Ignacio J. ALVAREZ, Florian GEISSLER, Haitao JI, Fei LI, Fabian OBORIL, Rafael ROSALES, Kay-Ulrich SCHOLL, Xiangbin WU, Xinxin ZHANG, Zhiyuan ZHANG, Qianying ZHU
  • Publication number: 20220210008
    Abstract: Data is received describing a local model of a first device generated by the first device based on sensor readings at the first device and a global model is updated that is hosted remote from the first device based on the local model and modeling devices in a plurality of different asset taxonomies. A particular operating state affecting one or more of a set of devices deployed in particular machine-to-machine network is detected and the particular machine-to-machine network is automatically reconfigured based on the global model.
    Type: Application
    Filed: August 6, 2021
    Publication date: June 30, 2022
    Applicant: Intel Corporation
    Inventors: Shao-Wen Yang, Michael J. Nolan, Ignacio J. Alvarez Martinez, Robert Adams, John Brady, Mark Kelly, Yen-Kuang Chen
  • Patent number: 11320810
    Abstract: An apparatus for autonomous vehicles includes a perception pipeline having independent classification processes operating in parallel to respectively identify objects based on sensor data flows from multiple ones of a plurality 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 sensors, and nullify a deficient sensor when the confidence level associated with the deficient sensor fails to meet a confidence threshold.
    Type: Grant
    Filed: September 28, 2017
    Date of Patent: May 3, 2022
    Assignee: Intel Corporation
    Inventors: David Arditti Ilitzky, Ignacio J. Alvarez, Julio C. Zamora Esquivel, Paulo Lopez Meyer
  • Publication number: 20220126864
    Abstract: Sensor data is received from a plurality of sensors, where the plurality of sensors includes a first set of sensors and a second set of sensors, and at least a portion of the plurality of sensors are coupled to a vehicle. Control of the vehicle is automated based on at least a portion of the sensor data generated by the first set of sensors. Passenger attributes of one or more passengers within the autonomous vehicles are determined from sensor data generated by the second set of sensors. Attributes of the vehicle are modified based on the passenger attributes and the sensor data generated by the first set of sensors.
    Type: Application
    Filed: March 27, 2020
    Publication date: April 28, 2022
    Applicant: Intel Corporation
    Inventors: Hassnaa Moustafa, Darshana D. Salvi, Suhel Jaber, Darshan Iyer, Mehrnaz Khodam Hazrati, Pragya Agrawal, Naveen Aerrabotu, Petrus J. Van Beek, Monica Lucia Martinez-Canales, Patricia Ann Robb, Rita Chattopadhyay, Jeffrey M. Ota, Iman Saleh Moustafa, Soila P. Kavulya, Karthik Reddy Sripathi, Mohamed Eltabakh, Igor Tatourian, Cynthia E. Kaschub, Rita H. Wouhaybi, Ignacio J. Alvarez, Fatema S. Adenwala, Cagri C. Tanriover, Maria S. Elli, David J. Zage, Jithin Sankar Sankaran Kutty, Christopher E. Lopez-Araiza, Magdiel F. Galán-Oliveras, Li Chen, Bahareh Sadeghi, Subramanian Anandaraj, Pradeep Sakhamoori
  • Publication number: 20220126863
    Abstract: An apparatus comprising at least one interface to receive a signal identifying a second vehicle in proximity of a first vehicle; and processing circuitry to obtain a behavioral model associated with the second vehicle, wherein the behavioral model defines driving behavior of the second vehicle; use the behavioral model to predict actions of the second vehicle; and determine a path plan for the first vehicle based on the predicted actions of the second vehicle.
    Type: Application
    Filed: March 27, 2020
    Publication date: April 28, 2022
    Applicant: Intel Corporation
    Inventors: Hassnaa Moustafa, Soila P. Kavulya, Igor Tatourian, Rita H. Wouhaybi, Ignacio J. Alvarez, Fatema S. Adenwala, Cagri C. Tanriover, Maria S. Elli, David J. Zage, Jithin Sankar Sankaran Kutty, Christopher E. Lopez-Araiza, Magdiel F. Galán-Oliveras, Li Chen
  • Publication number: 20220126878
    Abstract: An apparatus comprising at least one interface to receive sensor data from a plurality of sensors of a vehicle; and one or more processors to autonomously control driving of the vehicle according to a path plan based on the sensor data; determine that autonomous control of the vehicle should cease; send a handoff request to a remote computing system for the remote computing system to control driving of the vehicle remotely; receive driving instruction data from the remote computing system; and control driving of the vehicle based on instructions included in the driving instruction data.
    Type: Application
    Filed: March 27, 2020
    Publication date: April 28, 2022
    Applicant: Intel Corporation
    Inventors: Hassnaa Moustafa, Suhel Jaber, Darshan Iyer, Mehrnaz Khodam Hazrati, Pragya Agrawal, Naveen Aerrabotu, Petrus J. Van Beek, Monica Lucia Martinez-Canales, Patricia Ann Robb, Rita Chattopadhyay, Soila P. Kavulya, Karthik Reddy Sripathi, Igor Tatourian, Rita H. Wouhaybi, Ignacio J. Alvarez, Fatema S. Adenwala, Cagri C. Tanriover, Maria S. Elli, David J. Zage, Jithin Sankar Sankaran Kutty, Christopher E. Lopez-Araiza, Magdiel F. Galán-Oliveras, Li Chen
  • Publication number: 20220114805
    Abstract: The automated driving perception systems described herein provide technical solutions for technical problems facing navigation sensors for autonomous vehicle navigation. These systems may be used to combine inputs from multiple navigation sensors to provide a multimodal perception system. These multimodal perception systems may augment raw data within a development framework to improve performance of object detection, classification, tracking, and sensor fusion under varying external conditions, such as adverse weather and light, as well as possible sensor errors or malfunctions like miss-calibration, noise, and dirty or faulty sensors. This augmentation may include injection of noise, occlusions, and misalignments from raw sensor data, and may include ground-truth labeling to match the augmented data. This augmentation provides improved robustness of the trained perception algorithms against calibration, noise, occlusion, and faults that may exist in real-world scenarios.
    Type: Application
    Filed: December 22, 2021
    Publication date: April 14, 2022
    Inventors: Julio Fernando Jarquin Arroyo, Ignacio J. Alvarez, Cornelius Buerkle, Fabian Oboril
  • Publication number: 20220111870
    Abstract: Disclosed herein are systems and methods for peer-assisted safety models for autonomous and assisted-driving vehicles. In an embodiment, a safety-model service receives a safety-model request for a safety model from a target vehicle. The safety-model service identifies, responsive to receiving the safety-model request, one or more source vehicles as safety-model input sources. The safety-model service receives safety-model data associated with the identified one or more source vehicles. The safety-model service generates, based on the safety-model request and the received safety-model data, a target-vehicle safety model for the target vehicle. The safety-model service transmits the target-vehicle safety model to the target vehicle for use by the target vehicle.
    Type: Application
    Filed: December 22, 2021
    Publication date: April 14, 2022
    Inventors: Amar Srivastava, Christian Maciocco, Kshitij Arun Doshi, Ignacio J. Alvarez
  • 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
  • Publication number: 20220092987
    Abstract: Devices and methods for determining an action in the presence of road users are provided in this disclosure. A device may include a processor. The processor may be configured to access environment information including an indication of a size of road users intersecting with a predetermined route of a vehicle in a road environment. The processor may further be configured to prioritize an anticipated movement of at least one of the road users over a predicted movement of the vehicle within the predetermined route based on the size of road users. The processor may further be configured to determine a vehicle action allowing the anticipated movement of the at least one road user.
    Type: Application
    Filed: December 3, 2021
    Publication date: March 24, 2022
    Inventors: Fabian OBORIL, Frederik PASCH, Cornelius BUERKLE, Kay-Ulrich SCHOLL, Ignacio J. ALVAREZ
  • Publication number: 20220067012
    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: Application
    Filed: April 13, 2021
    Publication date: March 3, 2022
    Inventors: David I. Gonzalez Aguirre, Ignacio J. Alvarez, Javier Felip Leon
  • 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
  • Publication number: 20210403004
    Abstract: Techniques are disclosed to address issues related to the use of personalized training data to supplement machine learning trained models for Driver Monitoring System (DMS), and the accompanying mechanisms to maintain confidentiality of this personalized training data. The techniques disclosed herein also address issues related to maintaining transparency with respect to collected sensor data used in a DMS. Additionally, the techniques disclosed herein facilitate the generation of a digital representation of a driver for use as supplemental training data for the DMS machine learning trained models, which allow for DMS algorithms to be tailored to individual users.
    Type: Application
    Filed: September 10, 2021
    Publication date: December 30, 2021
    Inventors: Ignacio J. Alvarez, Marcos Carranza, Ralf Graefe, Francesc Guim bernat, Cesar Martinez-spessot, Dario Oliver, Selvakumar Panneer, Michael Paulitsch, Rafael Rosales