Patents by Inventor Rafael Rosales

Rafael Rosales 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: 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: 11490249
    Abstract: Systems and techniques for securing vehicle privacy in a driving infrastructure are described herein. A vehicle may contact a group identification (ID) issuer to register itself. A group ID may be received from the group ID issuer to indicate acceptance as a member. The vehicle may then contact the driving infrastructure to attach to the driving infrastructure using the group ID to identify the vehicle. In response, the vehicle receives an attachment ID from the driving infrastructure. Here, the attachment ID is used to secure communications between the vehicle and the driving infrastructure.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: November 1, 2022
    Assignee: Intel Corporation
    Inventors: Rafael Rosales, Liuyang Lily Yang, Xiruo Liu
  • 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
  • Patent number: 11460847
    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: Grant
    Filed: March 27, 2020
    Date of Patent: October 4, 2022
    Assignee: Intel Corporation
    Inventors: Rafael Rosales, Florian Geissler, Ignacio Alvarez, Neslihan Kose Cihangir
  • Publication number: 20220222927
    Abstract: For example, an apparatus may include an input to receive Machine Learning (ML) model information corresponding to an ML model to process input information; and a processor to construct a multi-model ML architecture including a plurality of ML model variants based on the ML model, wherein the processor is configured to determine the plurality of ML model variants based on an attribution-based diversity metric corresponding to a model group including a first ML model variant and a second ML model variant, wherein the attribution-based diversity metric corresponding to the model group is based on a diversity between a first attribution scheme and a second attribution scheme, the first attribution scheme representing first portions of the input information attributing to an output of the first ML model variant, the second attribution scheme representing second portions of the input information attributing to an output of the second ML model variant.
    Type: Application
    Filed: March 31, 2022
    Publication date: July 14, 2022
    Applicant: Intel Corporation
    Inventors: Rafael Rosales, Pablo Munoz, Neslihan Kose Cihangir, Michael Paulitsch
  • Publication number: 20220215691
    Abstract: Disclosed herein are systems, devices, and methods for an uncertainty-aware robot system that may perform a personalized risk analysis of an observed person. The uncertainty-aware robot system determines a recognized behavior for the observed person based on sensor information indicative of a gait of the observed person. The uncertainty-aware robot system determines an uncertainty score for the recognized behavior based on a comparison of the recognized behavior to potentially expected behaviors associated with the observed person and the environment. The uncertainty-aware robot system generates a remedial action instruction based on the uncertainty score.
    Type: Application
    Filed: March 24, 2022
    Publication date: July 7, 2022
    Inventors: Neslihan KOSE CIHANGIR, Rafael ROSALES, Akash DHAMASIA, Yang PENG, Michael PAULITSCH
  • Publication number: 20220194385
    Abstract: An exemplary method includes obtaining vehicle data comprising environmental perception data indicating a risk assessment regarding one or more perceived elements of an environment surrounding a vehicle; obtaining driver perception data regarding a driver inside the vehicle; determining an integrated risk assessment based on the vehicle data and the driver perception data; and determining an Operational Design Doman (ODD) compliance assessment of the vehicle at least based on the determined integrated risk assessment.
    Type: Application
    Filed: December 18, 2020
    Publication date: June 23, 2022
    Inventors: Florian GEISSLER, Rafael ROSALES, Fabian Israel OBORIL, Cornelius BUERKLE, Michael PAULITSCH, Ignacio ALVAREZ, David Israel GONZÁLEZ AGUIRRE
  • Publication number: 20220174479
    Abstract: Various embodiments are generally directed to techniques for providing improved privacy protection against vehicle tracking for connected vehicles of a vehicular network. For example, at least one road side unit may: identify a set of vehicles that require pseudonym changes and send an invitation for a pseudonym change event to each of the vehicles, determine at least a total number of the acceptances, determine whether the total number meets or exceeds a predetermined threshold number, send acknowledgement messages to the accepting vehicles if the threshold number is met, and form a vehicle group to coordinate the pseudonym change event during a privacy period. During the privacy period, the RSU and the vehicles may communicate with each other in a confidential and private manner via key-session-based unicast transmission, and coordinate transmission power and vehicle trajectory adjustments to maximize the benefits for safety and obfuscation for privacy.
    Type: Application
    Filed: December 10, 2021
    Publication date: June 2, 2022
    Applicant: INTEL CORPORATION
    Inventors: Xiruo LIU, Shabbir AHMED, Ralf GRAEFE, Christopher GUTIERREZ, Marcio JULIATO, Rafael ROSALES, Manoj SASTRY, Liuyang YANG
  • Publication number: 20220118621
    Abstract: Disclosed herein are systems, devices, and methods for improving the safety of a robot. The safety system may determine a safety envelope of a robot based on a planned movement of the robot and based on state information about a load carried by a robot. The state information may include a dynamic status of the load. The safety system may also determine a safety risk based on a detected object with respect to the safety envelope. The safety system may also generate a mitigating action to the planned movement if the safety risk exceeds a threshold value.
    Type: Application
    Filed: December 24, 2021
    Publication date: April 21, 2022
    Inventors: Michael PAULITSCH, Florian GEISSLER, Ralf GRAEFE, Tze Ming HAU, Neslihan KOSE CIHANGIR, Ying Wei LIEW, Fabian Oboril, Yang PENG, Rafael ROSALES, Kay-Ulrich SCHOLL, Norbert STOEFFLER, Say Chuan TAN, Wei Seng YEAP, Chien Chern YEW
  • Publication number: 20220111528
    Abstract: A computing device, including: a memory configured to store computer-readable instructions; and unintended human motion detection processing circuitry configured to execute the computer-readable instructions to cause the computing device to: interpret a human action; receive autonomous mobile robot (AMR) sensor data from an AMR sensor; and detect whether the human action is intended or unintended, wherein the detection is based on a predicted human action, a current human emotional or physical state, the interpreted human action, and the AMR sensor data.
    Type: Application
    Filed: December 22, 2021
    Publication date: April 14, 2022
    Inventors: Akash Dhamasia, Florian Geissler, Ralf Graefe, Neslihan Kose Cihangir, Michael Paulitsch, Rafael Rosales, Norbert Stoeffler
  • Publication number: 20220105635
    Abstract: Disclosed herein are systems, devices, and methods of a robot safety system for improving the safety of human-robot collaborations. The robot safety system may include a processor that receives a collaboration policy for task collaboration between a robot and a collaborator. The task collaboration may include a movement plan of the robot to move a manipulator to a collaboration position. The robot safety system may also determine a new collaboration position based on the collaboration policy. The robot safety system may also update the collaboration position of the movement plan to the new collaboration position.
    Type: Application
    Filed: December 17, 2021
    Publication date: April 7, 2022
    Inventors: Siew Wen CHIN, Ralf GRAEFE, Neslihan KOSE CIHANGIR, Sangeeta MANEPALLI, Hassnaa MOUSTAFA, Yang PENG, Rafael ROSALES, Rita H. WOUHAYBI
  • Patent number: 11240659
    Abstract: Various embodiments are generally directed to techniques for providing improved privacy protection against vehicle tracking for connected vehicles of a vehicular network. For example, at least one road side unit may: identify a set of vehicles that require pseudonym changes and send an invitation for a pseudonym change event to each of the vehicles, determine at least a total number of the acceptances, determine whether the total number meets or exceeds a predetermined threshold number, send acknowledgement messages to the accepting vehicles if the threshold number is met, and form a vehicle group to coordinate the pseudonym change event during a privacy period. During the privacy period, the RSU and the vehicles may communicate with each other in a confidential and private manner via key-session-based unicast transmission, and coordinate transmission power and vehicle trajectory adjustments to maximize the benefits for safety and obfuscation for privacy.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: February 1, 2022
    Assignee: INTEL CORPORATION
    Inventors: Xiruo Liu, Shabbir Ahmed, Ralf Graefe, Christopher Gutierrez, Marcio Juliato, Rafael Rosales, Manoj Sastry, Liuyang Yang
  • Publication number: 20220011856
    Abstract: A device including a processor configured to: receive sensor measurements; determine a viewer position based on the received sensor measurements; generate a control signal based on the viewer position; and determine a view based on the viewer position.
    Type: Application
    Filed: September 24, 2021
    Publication date: January 13, 2022
    Inventors: Norbert Stoeffller, Rafael Rosales, Kay-Ulrich Scholl
  • 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: 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
  • Publication number: 20210397863
    Abstract: Devices and methods for an occupant of a vehicle are provided in this disclosure. A device for identifying an occupant of a vehicle may include a processor. The processor may be configured to determine an identity for the occupant based on a first sensor data including information indicating a detection of a facial attribute of the occupant. The processor may further be configured to estimate a behavior for the occupant based on a second sensor data including information indicating a detection of a body attribute of the occupant. The processor may further be configured to determine a spoofing attempt result indicating whether the occupant attempts a spoofing based on the determined identity and the estimated behavior.
    Type: Application
    Filed: September 3, 2021
    Publication date: December 23, 2021
    Inventors: Neslihan KOSE CIHANGIR, Nese ALYUZ CIVITCI, Rafael ROSALES, Ignacio J. ALVAREZ
  • Publication number: 20210380143
    Abstract: Disclosed herein is a vehicle handover system that monitors an environment of a vehicle. The vehicle handover system receives a transition request to change control of the vehicle from an automated driving mode to a passenger of the vehicle. The vehicle handover system detects a key event that may be relevant to the transition request and the detection of the key event is based on the monitored environment. The vehicle handover system may generate a handover scene that includes images associated with the key event, and the images include an image sequence over a time-period of the key event. Before the vehicle handover system changes control of the vehicle from the automated driving mode to the passenger, the handover scene is displayed to the passenger.
    Type: Application
    Filed: August 23, 2021
    Publication date: December 9, 2021
    Inventors: Ignacio J. ALVAREZ, Michael PAULITSCH, Rafael ROSALES, Cornelius BUERKLE, Florian GEISSLER, Fabian OBORIL, Frederik PASCH, Yang PENG
  • Publication number: 20210383695
    Abstract: Devices and methods for a road user are provided in this disclosure. An apparatus for determining detection of a road user may include a memory configured to store a plurality of data items received from a plurality of further road users. Each of the plurality of data items may include a detection information indicating whether an object has or has not been detected by one of the plurality of further road users. Furthermore, the apparatus may include a processor that is configured to determine a detection result indicating whether the road user has been detected by the one of the plurality of further road users based on the detection information.
    Type: Application
    Filed: June 25, 2021
    Publication date: December 9, 2021
    Inventors: Neslihan KOSE CIHANGIR, Rafael ROSALES, Florian GEISSLER, Michael PAULITSCH, Ignacio ALVAREZ
  • Publication number: 20210309261
    Abstract: Techniques are disclosed to detect, inform, and automatically correct typical awareness-related human driver mistakes. This may include those that are caused by a misunderstanding of the current situation, a lack of focus or attention, and/or overconfidence in any currently-engaged assistance features. The disclosure is directed to the prediction of vehicle maneuvers using driver and external environment modeling. The consequence of executing a predicted maneuver is categorized based upon its risk or danger posed to the driving environment, and the vehicle may execute various actions based upon the categorization of a predicted riving maneuver to mitigate or eliminate that risk.
    Type: Application
    Filed: June 21, 2021
    Publication date: October 7, 2021
    Inventors: Rafael Rosales, Ignacio J. Alvarez, Florian Geissler, Neslihan Kose Cihangir, Michael Paulitsch
  • Patent number: 11070988
    Abstract: Various systems and methods for a reconfigurable roadside network. Current traffic data of a road segment is received from sensors. A traffic scenario is identified based on current the traffic data. Key performance indicators are determined for the traffic scenario. The roadside network is modified based on the key performance indicators.
    Type: Grant
    Filed: December 29, 2017
    Date of Patent: July 20, 2021
    Assignee: Intel Corporation
    Inventors: Rafael Rosales, Rainer Makowitz, Ralf Graefe, Mark Kelly, Keith Nolan